• [1] 
  醫療業使用 AI ：為各國賦能，迎接更健康的未來 AI in Healthcare: Empowering Nations for a Healthier Future | GTC Taipei 2025

  David Niewolny, NVIDIA's Sr. Director of Business Development, Healthcare/Medical, discussed the emerging frontier of healthcare at the intersection of autonomous decision-making and intelligent technologies. Digital AI agents understood, anticipated, and acted to deliver individualized healthcare services, while advances in physical AI enabled robotic systems to ease workforce shortages. NVIDIA catalyzed a shift towards AI-driven healthcare systems that scaled intelligently, reduced disparities, and empowered clinical teams with real-time insights, ultimately enhancing global health outcomes.

  https://www.nvidia.com/en-us/on-demand/session/gtctpe25-stw51015/
• [2] 
  Addressing the AI Skills Gap | GTC Digital Spring 2023

  Bálint Gyires-Tóth, Kevin McFall from NVIDIA, and other experts discussed the growing demand for AI and HPC programming skills, forming a notable skill gap, and explored options for bridging this gap with representatives from European governments, organizations, and universities.

  https://www.nvidia.com/en-us/on-demand/session/gtcspring23-se52129/
• [3] 
  3D and Beyond: How 3D Artists Can Build a Side Hustle Building Digital Twins and SimReady Assets | GTC Digital Spring 2023

  NVIDIA's Beau Perschall, Gabriele Leone, Edmar Mendizabal, and Paul Callender discussed the growing demand for 3D talent in non-entertainment industries, including automotive, retail, and manufacturing companies. They explained how 3D creators from game development, visual effects, and Hollywood animation backgrounds can leverage their skills to build a side hustle in the industrial metaverse, creating digital twins and SimReady assets. NVIDIA showcased its tools and resources to support 3D artists and connect them with enterprise customers seeking their expertise.

  https://www.nvidia.com/en-us/on-demand/session/gtcspring23-se52117/
• [4] 
  Data Center Operators Must Lower Risk As GPU Costs Rise: Future-Proof Your Data Center (Presented by DDC Solutions) | GTC 2025

  Chris Orlando of DDC Solutions discussed the growing demand for AI accelerators and the high costs of deploying GPUs. S&P Global reported that equipment exposure to water hazards is a significant risk, but DDC Solutions mitigated this risk by delivering ultra-high-density cooling with its technology.

  https://www.nvidia.com/en-us/on-demand/session/gtc25-exs74443/
• [5] 
  Is AI at the Edge the Killer App for 5G? | GTC Digital April 2021

  Senior industry leaders, including Ronnie Vasishta of NVIDIA, Alex Sinclair of GSMA, and Shailesh Shukla of Google, discussed the role of AI at the edge in the 5G era. They explored how AI enabled automation, data analysis, and efficiency gains, and examined its interplay with 5G networks, particularly in powering physical layer L1 processing and supporting analytics for smart cities and industrial efficiency applications. The panel also discussed the growing demand for computational resources at the edge, citing IDC's report that the share of new enterprise IT infrastructure at the edge will reach 50% by 2023.

  https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s31931/
• [6] 
  Data Center Operators Must Lower Risk as GPU Costs Rise: Future-Proof Your Data Center (Presented by DDC Solutions) | GTC 2025

  Chris Orlando of DDC Solutions discussed the growing demand for AI accelerators and the high costs of deploying GPUs. He explained how equipment exposure to water hazards can cause outages and affect expensive equipment, and showed how DDC can help mitigate risk with ultra-high-density cooling solutions.

  https://www.nvidia.com/en-us/on-demand/session/gtc25-s74444/
• [7] 
  Scale, Secure, and Boost Infrastructure Performance with DPUs (Presented by VMware Inc.) | GTC Digital September 2022

  Dave Morera and Ragav Gopalan of VMware discussed rising workload complexity and the increasing demand for software-defined infrastructure services. They explained how Project Monterey distributes infrastructure service stewardship between CPUs and DPUs, improving workload and infrastructure performance, and reducing total cost of ownership.

  https://www.nvidia.com/en-us/on-demand/session/gtcfall22-a41448/
• [8] 
  AI Supply: The GPU-Powered Supply Chain | GTC Digital April 2021

  Fabrizio Fantini from EvoPricing discussed the challenges of sales forecasting in the US, where over $2 trillion is invested in inventories. He demonstrated an anti-forecasting method using hyper-tagged real-time demand data and GPU-powered machine learning to replace traditional demand planning. This approach achieved a 32% increase in warehouse inventory efficiency for companies like ABB. Fantini also shared case studies published by the Harvard Business School, showcasing the potential of instant learning to transform supply chain performance, from purchasing to shipments, using NVIDIA GPUs.

  https://www.nvidia.com/en-us/on-demand/session/gtcspring21-e31192/
• [9] 
  拥抱虚拟世界中对话式 Al 的金融服务 Financial Services Embracing Conversational AI in Virtual World | GTC Digital Spring 2022

  Jianzong Wang discussed how COVID-19 increased demand for virtual and augmented reality, and how AI technologies like conversational agents can aid in virtual worlds, exploring finance business scenarios with Ping An Technology, including remote training and virtual assistants.

  https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42289/
• [10] 
  Working Together: Four Things a Data Scientist should Demand from Enterprise IT (Presented by IBM) | GTC Digital April 2021

  Douglas O'Flaherty and Steven Eliuk of IBM discussed data science demands on enterprise IT, emphasizing collaboration and leveraging IBM tools for scalability and productivity, and described building IBM's enterprise data science environment.

  https://www.nvidia.com/en-us/on-demand/session/gtcspring21-ss33231/
• • [11] 
    Bringing GPU-accelerated Computing and AI to the Classroom | GTC Digital Spring 2022

    Andy Cook and Joe Bungo from NVIDIA's Deep Learning Institute discussed the growing demand for accelerated computing and data science skills in classrooms. The NVIDIA Deep Learning Institute offered hands-on training in AI, accelerated computing, and data science, powered by GPUs in the cloud, to developers, data scientists, educators, researchers, and students. The institute's University Ambassador Program certified instructors to teach workshops, and DLI Teaching Kits provided full-term course materials to lower the barrier of incorporating AI and GPU computing in the classroom. The program also offered student certification and free online training, certification, and cloud access to GPUs for teachers and students, with new benefits introduced in 2022.

    https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42540/
  • [12] 
    Redefining Limits: Empower Generative AI using Cutting-Edge Workstations (Presented by Dell Technologies) | GTC 2024

    Maxwell Andrews discussed generative AI's growing demand and complexity, and how Dell Technologies' Precision workstations with NVIDIA RTX GPUs handled rigorous workloads, demonstrating their potential in harnessing generative AI's capabilities.

    https://www.nvidia.com/en-us/on-demand/session/gtc24-s62995/
  • [13] 
    The Most Advanced GPU Platform Empowers AI Model Innovation and Intelligent Edge Computing (Presented by Inspur Electronic Information Industry Co.,Ltd) | GTC Digital November 2021

    Kris Liu and Lei Wang from Inspur Electronic Information discussed large-scale pre-trained models and their impact on AI computing power demand. They shared insights into AI model development trends and introduced Inspur Electronic Information's AI product portfolio, powered by NVIDIA's advanced GPU products. The presentation also covered Inspur Electronic Information's benchmark performance in MLPerf and their differential liquid cooling solution. Additionally, they discussed edge computing, including development trends, customer needs, and product layout, as well as inference acceleration using CUDA and TensorRT in edge environments, with application stories in manufacturing and transportation.

    https://www.nvidia.com/en-us/on-demand/session/gtcfall21-a31647/
  • [14] 
    The Never-Ending Evolution of Computing | GTC Digital September 2022

    NVIDIA CTO Michael Kagan reviewed the ongoing changes and latest breakthroughs in cloud computing architecture, connection, optimization, and management. He explained that accelerated computing enabled the AI revolution, driving innovation in algorithms, chips, and software. Kagan discussed the constant shift and optimization in computing, with pressure to make it faster, easier, more efficient, and secure, requiring top-to-bottom optimization from chip silicon to data center design and software. The evolution of computing was driven by demand for data-driven services, with companies like NVIDIA playing a key role in this never-ending evolution, which also involves innovations in areas such as power efficiency, thermal management, and devices, both in data centers and at the edge, all connected through clouds.

    https://www.nvidia.com/en-us/on-demand/session/gtcfall22-a41175/
  • [15] 
    Carhartt Connects Customers to All-American Clothing with Azure (Presented by Microsoft Azure) | GTC Digital October 2020

    Carhartt used Azure Machine Learning to analyze supply and demand, honoring its resourceful culture.

    https://www.nvidia.com/en-us/on-demand/session/gtcfall20-exd1218/
  • [16] 
    Building the Future of Work with AI-powered Digital Humans | GTC Digital September 2022

    Alex Qi and Stephanie Rubenstein discussed the growing demand for digital humans, avatars, and virtual robots, which is driving a multi-billion dollar market. They shared the latest announcements about NVIDIA Omniverse Avatar Cloud Engine, a suite of cloud-native AI models and services for building interactive avatars. Qi and Rubenstein explained the value of deploying these characters on the cloud and provided a deep-dive into the core AI building blocks of Omniverse ACE, including NVIDIA Riva, Omniverse Audio2Face, and reference applications like NVIDIA Tokkio and NVIDIA Maxine.

    https://www.nvidia.com/en-us/on-demand/session/gtcfall22-a41781/
  • [17] 
    Pushing Spectral Efficiency Limits on CUDA-accelerated 5G/6G RAN | GTC 2025

    Tommaso Balercia, Vikrama Ditya, and Yuan Gao of NVIDIA discussed the growth of mobile broadband demand and the importance of software-defined radio access networks (RAN) in driving innovation. They highlighted the benefits of GPU-based 5G and 6G RAN stacks, which can run complex algorithms and simulate digital twins, enabling new levels of spectral efficiency. The speakers demonstrated key algorithms that utilize GPU computational power to push the boundaries of system spectral efficiency, characterized in a digital twin environment that closely resembles real-world radio environments, using CUDA-accelerated platforms.

    https://www.nvidia.com/en-us/on-demand/session/gtc25-s72990/
  • [18] 
    Navigating AI Careers in Europe | GTC 2024

    Ana Gospodinova, Anne Lee, Francesca Barisani, Kevin McFall, and Juan Durillo discussed the rise of generative AI and its impact on the European labor market. They explored the high demand for AI, accelerated computing, and HPC programming skills. The panel represented companies such as WeAreDevelopers, Nokia Bell Labs, and the Leibniz Supercomputing Centre, and discussed in-demand skills and options for bridging the skills gap. They also talked about international initiatives and corporations working to up-skill people in these areas, including NVIDIA and the European Institute of Innovation and Technology.

    https://www.nvidia.com/en-us/on-demand/session/gtc24-se62721/
  • [19] 
    Accelerating Deep Learning-based Multi-step Demand Forecasting | GTC Digital Spring 2022

    Joshini Lobo discussed accelerating demand forecasting pipelines with NVIDIA products, such as Spark+Rapids and GPU infrastructure, which improved performance by 6x and 170x respectively, for Tata Consultancy Services' TCS Optumera solution, enabling faster and scalable retail solutions.

    https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42508/
  • [20] 
    Navigating the Future: The Impact of Accelerated Computing and AI on Data Center Electricity Demand | GTC 2025

    Josh Parker, NVIDIA's Sr. Director of Corporate Sustainability, and Laura Cozzi, Director of Sustainability, Technology and Outlooks at the International Energy Agency, discussed the future of energy consumption in data centers driven by the demand for computing power and AI development. They explored AI's impact on the energy sector, its benefits and challenges, and the projected pathways for data center electricity demand. The conversation also covered the implications of adopting AI and energy-efficient technologies, including accelerated computing, to ensure energy efficiency in data centers.

    https://www.nvidia.com/en-us/on-demand/session/gtc25-s73672/
  • • [21] 
      扩展智能 3D 设计和仿真的世界 Scaling the World of intelligent 3D designs & simulations | GTC Digital Spring 2022

      Jessie Cai discussed demand drivers and challenges in developing intelligent 3D designs and simulations, like digital twins, with NVIDIA at GTC Digital Spring 2022.

      https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42048/
    • [22] 
      Cloud-Enhanced and Modular: Creating the Future of Live Media Production | GTC Digital Spring 2023

      The live media production landscape has undergone a significant change due to high demand for personalized content on various platforms, leading to increased costs and lower revenues. Corey Smith from CBS Sports Digital / Paramount+ and Ian Fletcher from Grass Valley discussed the need for a universal platform to optimize resources. They presented the Agile Media Processing Platform (AMPP) from Grass Valley, a cloud-native platform that integrates hardware, software, and services, allowing for scalability and access to third-party solutions. CBS Sports Digital / Paramount+ expanded their use of AMPP for content localization and live production, enabling them to create more content efficiently.

      https://www.nvidia.com/en-us/on-demand/session/gtcspring23-s51718/
    • [23] 
      Accelerated LLM Model Alignment and Deployment in NeMo, TensorRT-LLM, and Triton Inference Server | GTC 2024

      Bharat Giddwani and Utkarsh Uppal, Deep Learning Solutions Architects at NVIDIA, discussed the acceleration of large language models, which have surged in demand due to the growing popularity of generative models. They explored the NeMo Framework, NVIDIA's TensorRT-LLM, and Triton Inference Server for model alignment, inference optimization, and deployment. The speakers highlighted the SFT and PEFT Fine-tuning approach and uncovered the intricacies of inference optimization using TensorRT-LLM, including kv-caching and paged attention. They also demonstrated fine-tuning, optimizing, and deploying the LLaMA model using Triton Inference Server, and mentioned the NVIDIA Deep Learning Institute's training options and certification programs.

      https://www.nvidia.com/en-us/on-demand/session/gtc24-dlit61739/
    • [24] 
      Potential Power Solutions for Gigawatt Data Centers for AI Training (Grid to Chip) (Presented by Delta Electronics) | GTC 2024

      Ralf Pieper of Delta Electronics discussed power infrastructure approaches for AI data centers, addressing growing GPU power demands. He highlighted the need for efficient power supply solutions from the grid to the GPU, such as those for NVIDIA GPUs, to reduce environmental and cost implications.

      https://www.nvidia.com/en-us/on-demand/session/gtc24-s62987/
    • [25] 
      Readying Data for the AI Journey | GTC Digital October 2020

      Aaron Reite, Dr. Katie Rainey, Fabio Pacifici, Jared Dunmon, and Jonathan Howe discussed data challenges in AI development, sharing hurdles and best practices in data storage, ingestion, and labeling, and offered advice on preparing for increasing data demands at GTC Digital in October 2020.

      https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22085/
    • [26] 
      Using AI Infrastructure in the Cloud for 5G vRAN | GTC Digital September 2022

      NVIDIA's Christopher Lamb discussed using AI infrastructure in the cloud for 5G vRAN, leveraging cloud and data centers to loadshare with 5G vRAN, and NVIDIA's NV-CloudRAN solution, based on the NVIDIA H100-CNX, Spectrum Switch, Aerial, and Containerized DU, to fulfill peak bursts in demand.

      https://www.nvidia.com/en-us/on-demand/session/gtcfall22-a41184/
    • [27] 
      The European AI Factory: What to Demand From AI Factory-as-a-Service (Presented by Northern Data Group) | GTC 2025

      Elisabeth L’Orange and Stephanie Ehrenberg discussed scaling AI across enterprises, describing how companies combined latest GPUs, software platforms, and compute models for efficient execution. They highlighted the European AI factory model, which provided affordable access to NVIDIA accelerated technology, and how European data sovereignty principles guided AI infrastructure development.

      https://www.nvidia.com/en-us/on-demand/session/gtc25-s74244/
    • [28] 
      Building Generative AI Applications for Enterprise Demands | Other 2023

      NVIDIA's Amanda Saunders and Donald Chouinard discussed generative AI applications.

      https://www.nvidia.com/en-us/on-demand/session/other2023-genaient/
    • [29] 
      Meet the Infrastructure Demands of Next-gen Applications | GTC Digital November 2021

      NVIDIA and VMware partnered to solve infrastructure challenges, leveraging hardware accelerators and centralized governance models.

      https://www.nvidia.com/en-us/on-demand/session/gtcfall21-a31119/
    • [30] 
      Powering the Future of AI: A Look at One Company’s Approach to Climate-Aligned Digital Infrastructure (Presented by Crusoe) | GTC 2024

      Chase Lochmiller, Co-Founder and CEO of Crusoe, discussed the intersection of the energy industry and the future of AI, emphasizing the need for sustainable infrastructure to support the growing demand for machine learning and climate tech solutions. Marc Ganzi, CEO of DigitalBridge, was cited as stating that global data center capacity needs to grow by 38 gigawatts to power the AI surge. Crusoe's mission-based strategy to develop climate-aligned digital infrastructure was also highlighted, aiming to reinvent and reimagine the strategy and infrastructure to support the digital renaissance sustainably and responsibly.

      https://www.nvidia.com/en-us/on-demand/session/gtc24-s63106
    • • [31] 
        Feeding the Beast: Delivering Memory Bandwidth to High-Performance GPUs into the Future (Presented by Micron) | GTC Digital March 2020

        Micron experts Eric Booth, Jay Walstrum, Ralf Ebert, Robert Bielby, and Wolfgang Spirkl discussed trends and architecture flexibility for feeding NVIDIA GPUs, outlining collaborations on high-performance memory subsystems to satisfy GPU data demands, and shared innovations and future designs across markets.

        https://www.nvidia.com/en-us/on-demand/session/gtcsj20-s22482/
      • [32] 
        All-flash Scale-out Data Platforms for AI/ML Workloads (Presented by Red Hat Inc.) | GTC Digital October 2020

        Michael St-Jean from Red Hat Inc. discussed infrastructure demands for AI adoption, citing 451 Research on key influencers like compute accelerators and scalable storage. Red Hat collaborated with Micron, AMD, and Supermicro to deliver data performance at scale for AI/ML workloads using Red Hat Ceph Storage and Red Hat OpenShift Container Storage.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22305jp/
      • [33] 
        算力资源随时待命：以分时调度共享AI超算，弹性运行超大规模深度学习训练 AI Computing Power on Demand: Sharing an AIHPC Scheduled by Time Slices and Running Elastic Large-scale Distributed Deep Learning Trainings | GTC Digital Spring 2022

        Yichao Zhang and Panpan Huang demonstrated elastic AI computation using NVIDIA A100s, enabling unlimited deep learning trainings.

        https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42195/
      • [34] 
        Accelerating On-Demand Video Streaming | GTC Digital Spring 2023

        Qingyuan Zhang from ByteDance discussed the company's growing video market and how it consumed huge computing resources. ByteDance used heterogeneous resources, including NVIDIA GPUs, to process hundreds of millions of videos daily, improving video quality and playback experience.

        https://www.nvidia.com/en-us/on-demand/session/gtcspring23-s51147/
      • [35] 
        Solving the Shortage of Renewable-Powered Compute for an AI-Driven World (Presented by IREN) | GTC 2024

        Daniel Roberts discussed IRENA's compute needs and NVIDIA GPU capacity with a focus on renewable energy and sustainability at GTC 2024.

        https://www.nvidia.com/en-us/on-demand/session/gtc24-expt63234/
      • [36] 
        Tackle AI/ML Workloads with High-Performance SSD (Presented by Samsung Semiconductor, Inc.) | GTC Digital April 2021

        Christina Day and Young Paik from Samsung Semiconductor discussed AI/ML workloads and the need for high-performance storage, as NVIDIA developed compute capabilities, stressing modern systems and increasing the need for storage solutions like SSDs.

        https://www.nvidia.com/en-us/on-demand/session/gtcspring21-ss33227/
      • [37] 
        The ABCs of SDG (Synthetic Data Generation) | GTC 2025

        NVIDIA and Gretel examined how synthetic data generation techniques evolved to meet modern machine learning algorithm demands, focusing on AI data flywheels with RAG systems and synthetic traces, and discussed benefits, implementation, and performance gains with Alex Watson and Jane Polak Scowcroft.

        https://www.nvidia.com/en-us/on-demand/session/gtc25-s73237/
      • [38] 
        Accelerating AI Workloads at Data Center Scale with High Performance Networking | GTC Digital October 2020

        Mordechay Beck discussed accelerating AI workloads with NVIDIA products at GTC Digital. He addressed new data center requirements, including fast data access and security, driven by growing AI workloads, and presented new capabilities to meet these challenges.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a21248eu/
      • [39] 
        Fireside Chat: Unleashing African Talent in the Age of AI | GTC Digital November 2021

        John Kamara, founder of Adanianlabs and AI Center of Excellence, and Kate Kallot discussed growing Africa's AI economy, which needs homegrown developers. Africa is the fastest-growing continent for software developers, with 70% being self-taught or learning through nontraditional pathways. Kamara shared the top 10 ways to bridge the developer skills gap and advance their learning experience to meet global market requirements, aiming to unleash African developers' aspirations for digitizing the continent through AI with support from companies like NVIDIA.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall21-a31512/
      • [40] 
        AI Data for Research Breakthroughs and New Revenue Opportunities (Presented by DDN) | GTC Digital Spring 2022

        Kurt Kuckein, VP of Marketing at DDN, discussed how AI supercomputing and data infrastructure accelerated research discoveries and revenue. He explained that over 58% of organizations required a parallel scale-out file system for unstructured data workloads, citing IDC. Users applied DDN's AI storage solutions with NVIDIA DGX A100 to maximize opportunities, streamlining data pipelines and utilizing systems efficiently. Various industries deployed supercomputing infrastructure, including DGX SuperPODs, to address AI needs and drive business advantages.

        https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42470/

      • [41] 
        Preparing for the Future: Automotive Memory and Storage Requirements (Presented by SK hynix) | GTC 2025

        Kihong Kim of SK hynix discussed the evolving automotive memory industry, driven by technological advancements and quality standards, and highlighted the company's readiness to meet industry needs with its portfolio designed for automotive applications, focusing on quality, safety, and technical collaboration.

        https://www.nvidia.com/en-us/on-demand/session/gtc25-s74033/
      • [42] 
        NVIDIA Magnum IO GPUDirect Storage GA - Faster and More Reliable, Available on NVIDIA DGX | ISC 2021

        Kushal Datta, Product Manager at NVIDIA, discussed the importance of addressing IO bottlenecks in extreme compute applications. The convergence of HPC and AI has led to increased demands for processing larger datasets. NVIDIA's GPUDirect Storage (GDS) aims to reduce these bottlenecks, and its 1.0 GA release brings new capabilities to traditional HPC applications and those at the convergence of HPC and AI. Datta highlighted the value GDS brings to customers and the role of storage partners in growing the ecosystem and developer community, with GDS available on NVIDIA DGX.

        https://www.nvidia.com/en-us/on-demand/session/iscdigital2021-iscvt2112/
      • [43] 
        AI for America: Building a Nationwide AI Ecosystem to Drive Innovation and Provide Opportunity from Coast to Coast | GTC Digital October 2020

        Congressional leaders Jerry McNerney, Robin Kelly, and Will Hurd discussed a national AI strategy with Erica Pandey from Axios, outlining needs for workforce development, computing power, and data accessibility to drive innovation, and described legislation to support the AI economy.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a21589/
      • [44] 
        AI Supplier for the Global Retail Industry | GTC Digital March 2020

        Matt Scott discussed Malong's AI at GTC Digital.

        https://www.nvidia.com/en-us/on-demand/session/gtcsj20-s2709/
      • [45] 
        Turbocharging Multi-cloud Security and Application Delivery with Virtio Offloading | GTC Digital November 2021

        Ash Bhalgat of NVIDIA, and Joel Moses and Ryan Howard of F5 and F5 Networks, discussed the strain on modern data centers due to growing data traffic and virtualization. F5 accelerated its BIG-IP VE portfolio by offloading Virtio to NVIDIA BlueField-2 DPUs and ConnectX-6 Dx Ethernet adapters, reducing compute power required while maintaining flexibility. The joint F5-NVIDIA solution was presented, demonstrating reduced CPU utilization and high performance using Virtio, along with customer trial feedback and solution availability.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall21-a31404/
      • [46] 
        The Industrialization of Data Science: Become an Information Factory (Presented by Hewlett Packard Enterprise) | GTC Digital October 2020

        Doug Cackett from Hewlett Packard Enterprise discussed the need for IT to support an industrialized stance for AI/ML technologies. He reviewed gaps between business requirements and common analytical platforms, assessing trends like multi-cloud, accelerated computing, containerization, and Kubernetes to fill capability gaps. Cackett also discussed approaching the analytics industrialization process and the end-state for an information factory, considering existing platform investments, skills for IT teams, and delivering a continuous cloud experience from edge to cloud.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22289/
      • [47] 
        Big NLP Demystified: Business Impact of Large Language Models | GTC Digital Spring 2022

        Adam Henryk Grzywaczewski, Senior Deep Learning Data Scientist at NVIDIA, discussed the growth of natural language processing models, including GPT-3 and Megatron Turing, which have surpassed models like BERT and RoBerta in size. He explored the investment drivers and business transformations resulting from large NLP models, showcasing their few-shot learning capabilities and impact on information interaction. Grzywaczewski also outlined the resources required to create and utilize the largest NLP models, including skills, data, and infrastructure.

        https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42016/
      • [48] 
        Accelerating Enterprise Cybersecurity with Software-defined DPU Firewall | GTC Digital November 2021

        Ash Bhalgat from NVIDIA and John McDowall and Mukesh Gupta from Palo Alto Networks presented a solution for accelerating enterprise cybersecurity. They discussed the need for software-defined, hardware-accelerated next-generation firewalls to keep up with increasing network speeds. NVIDIA and Palo Alto Networks developed a DPU-accelerated NGFW solution, the PAN VM-Series NGFW, which was demonstrated using Bluefield-2 DPU to improve performance by up to 5x, addressing security needs in data centers and enterprise deployments.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall21-a31360/
      • [49] 
        Data-driven Transformation in the Department of Defense | GTC Digital Spring 2022

        David Spirk, Chief Data Officer of the Department of Defense, and Anthony Robbins, NVIDIA's Vice President of Public Sector, discussed the need for a data-driven transformation in the Department of Defense. They emphasized that the DoD must mobilize its resources and industry partnerships to meet the data challenge. The DoD was encouraged to introduce data-driven technologies and concepts to render previous approaches irrelevant. Spirk and Robbins highlighted the importance of data as an exponential asset, appreciating in strategic value as new forms of data are collected and connected, and the need for DoD leadership to champion this transformation with Congressional support and resource a modern, enterprise-wide capacity to enable it.

        https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42281/
      • [50] 
        AI/ML Solutions for Large-Scale Development and Deployment (Presented by Equinix) | GTC Digital September 2022

        Doron Hendel, Kaladhar Voruganti, James Poole, and Tony Paikeday discussed AI infrastructure consumption models that simplify delivering business-critical AI apps, citing a preference for hybrid cloud infrastructure and hosted services, and explored joint Equinix and NVIDIA solutions.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall22-a41398/

      • [51] 
        The Future of Dynamic, Adaptive AI Models (Presented by Applied Digital) | GTC 2025

        Anne Keese Wallace and Eric Menees discussed the acceleration of AI innovation, particularly the shift from pre-trained models to post-training, which revolutionized how AI learns and adapts. Applied Digital and SF Compute explored the impact of open-source models like DeepSeek R1, lowering the barrier to AI development. They examined how post-training enables businesses to refine models for specific applications without massive R&D costs, and how short-term compute solutions are changing the AI infrastructure landscape, allowing companies to stay ahead in AI specialization using high-performance, on-demand compute resources, including those from NVIDIA.

        https://www.nvidia.com/en-us/on-demand/session/gtc25-s74224/
      • [52] 
        The Industrialization of Data Science: Become an Information Factory (Presented by Hewlett Packard Enterprise) | GTC Digital October 2020

        Doug Cackett from Hewlett Packard Enterprise discussed the need for IT to support an industrialized stance for AI/ML technologies. He reviewed gaps between business requirements and analytical platforms, and assessed how trends like multi-cloud, accelerated computing with technologies like those from NVIDIA, containerization, and Kubernetes can fill capability gaps. The discussion also covered how to approach the analytics industrialization process and the end-state for an information factory, including the integration of analytics tools, testing, security, and leveraging existing platform investments.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22297/
      • [53] 
        The Requirements for Infrastructure Capabilities in the Era of AIGC (Presented by H3C) | GTC 2024

        H3C launched an AI server for large-scale model training, reducing training time for large language models by 70%. The company also introduced a 51.2T 800G silicon photonic data center switch for AI-generated content intelligent computing networks. H3C upgraded its AMPHA computing power scheduling platform to provide unified management of heterogeneous computing power and improve resource utilization. The platform is equipped with large models and development tools to accelerate AIGC applications, and is complemented by LinSeer's private-domain large models, which offer secure and customized services for clients in specific industries and regions.

        https://www.nvidia.com/en-us/on-demand/session/gtc24-s63024/
      • [54] 
        The Industrialization of Data Science: Become an Information Factory (Presented by Hewlett Packard Enterprise) | GTC Digital October 2020

        Doug Cackett from Hewlett Packard Enterprise discussed the need for IT to support an industrialized stance for AI/ML technologies. He reviewed gaps between business requirements and common analytical platforms, assessing trends like multi-cloud, accelerated computing, containerization, and Kubernetes to fill capability gaps. Cackett also discussed how to approach the analytics industrialization process, including the role of Kubernetes in complex stateful deployments and delivering a continuous cloud experience from edge to cloud, to create an information factory.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22293/
      • [55] 
        Visuals as a Service (VaaS): How Amazon and Others Create and Use Photoreal On-Demand Product Visuals with RTX Real-Time Raytracing and the Cloud | GTC Digital March 2020

        Paul Arden and Thomas Dideriksen discussed how Amazon used RTX real-time raytracing and NVIDIA Iray to create photoreal on-demand product visuals with the migenius RealityServer platform, leveraging GPU cloud computing and the Material Definition Language to drive a shift in product visualization.

        https://www.nvidia.com/en-us/on-demand/session/gtcsj20-s21290/
      • [56] 
        New Features in OptiX 7 | GTC Digital March 2020

        David Hart and Mark Leone of NVIDIA discussed new features in OptiX 7, including a low-level CUDA-centric API and a library for loading textures on demand, and provided code samples and integration tips for application developers.

        https://www.nvidia.com/en-us/on-demand/session/gtcsj20-s21904/
      • [57] 
        The Industrialization of Data Science: Become an Information Factory (Presented by Hewlett Packard Enterprise) | GTC Digital October 2020

        Doug Cackett from Hewlett Packard Enterprise discussed the need for IT to support an industrialized stance for AI/ML technologies. He reviewed gaps between business requirements and common analytical platforms, assessing trends like multi-cloud, accelerated computing, containerization, and Kubernetes to fill capability gaps. Cackett also discussed how to approach the analytics industrialization process, including the role of Kubernetes in complex stateful deployments and delivering a continuous cloud experience from edge to cloud, to create an information factory.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22290/
      • [58] 
        The Big Data Challenge of Radio Astronomy | GTC 2025

        Emma Tolley and Etienne Orliac discussed radio astronomy's big data challenge, posing a computational challenge with up to 300 petabytes of data per year, utilizing NVIDIA technology for data analysis.

        https://www.nvidia.com/en-us/on-demand/session/gtc25-s72826/
      • [59] 
        GPU-Accelerated Labs on Demand Using Virtual Computer Server | GTC Digital October 2020

        Adam Tetelman and Jeff Weiss of NVIDIA, along with Timothy Dietrich of NetApp, discussed NVIDIA vCS technology and its use cases. They showcased a customer using NVIDIA GPUs with vCS to train developers and highlighted NetApp's integration of vGPU technology into their Lab on Demand environment.

        https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a21371/
      • [60] 
        Tackling AI/HPC Challenges to Boost System Performance (Presented by QCT) | GTC Digital Spring 2022

        Stephen Wheat discussed tackling AI and HPC challenges with QCT Platform on Demand, a workload-driven platform that utilizes GPU-accelerated computing, allowing for rapid deployment and easy management, and showcased benchmark results demonstrating accelerated performance enabled by GPUs on QCT POD.

        https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42272/
      • • [61] 
          GPU Power Play: Role of AI Democratization in Cyber Defense | GTC 2024

          Pamela Toman and Prajakta Jagdale of Palo Alto Networks discussed the role of AI democratization in cyber defense, highlighting how GPUs have been used by threat actors for malicious activities such as hash cracking and cryptomining. They explored Palo Alto Networks' approach to integrating Generative AI into their technology, addressing security challenges and discussing threat models that shaped their co-pilot architectures. The session also covered the adoption of retrieval-augmented generation techniques and the influence of AI and ML on their security technology portfolio, particularly in preparing for an AI-augmented threat landscape.

          https://www.nvidia.com/en-us/on-demand/session/gtc24-s62820/
        • [62] 
          Identifying the Next Billion Consumers with Satellite Imagery | GTC Digital October 2020

          Kunal Raj Bharadwaj from Sociometrik discussed challenges and solutions for poor administrative data in India, leveraging alternative data sources like geospatial intelligence and social data, alongside traditional information, to generate precise insights for targeting consumers, using systems like those that could be accelerated by NVIDIA products.

          https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22041/
        • [63] 
          Mass Capacity Storage: Storing Infinite Potential in the AI Era (Presented by Seagate Technology) | GTC 2025

          Praveen Viraraghavan from Seagate Technology discussed the importance of mass capacity storage in the AI era. He noted that exponential growth in computing power and cloud access have accelerated application development. Seagate remains focused on storage innovation, empowering operators with new technologies to maximize scale and optimize costs. The company is poised to capture opportunities by partnering with customers and the AI ecosystem, recognizing that data storage is the foundation for AI models and reliable applications.

          https://www.nvidia.com/en-us/on-demand/session/gtc25-exs74552/
        • [64] 
          Systems for Developing Synthetic Imagery and AI | GTC Digital Spring 2022

          Jason Coleman and Brian Pugh discussed generating synthetic data at scale to train deep neural networks, leveraging NVIDIA hardware for quicker delivery. They presented GeoSynth, a photorealistic synthetic dataset, and demonstrated its effectiveness in improving an augmented reality application for the retail industry using GeoSynthGen.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s41349/
        • [65] 
          Delivering On-Demand Property Insights | GTC Digital October 2020

          Arturo used NVIDIA to provide instant property insights, helping insurance carriers win customers, with Abhishek Dubey and Ben Tuttle presenting.

          https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22135/
        • [66] 
          Driving Agility and Efficiency in Retail With AI | AI Summit India 2024

          Pradeep Gupta of NVIDIA discussed how AI helped retailers increase revenue and improve operations, from supply chain optimization to hyper-personalization, and outlined top AI use cases and best practices for using generative AI to drive productivity and revenue.

          https://www.nvidia.com/en-us/on-demand/session/aisummitin24-siin1141/
        • [67] 
          Enhancing Software Defined Vehicle Development With Efficient, Generative AI | AI Summit India 2024

          Manoj Chathankulangara Rajan and Rajat Soni of Tata Consultancy Services Limited discussed how generative AI accelerated software-defined vehicle development. They utilized NVIDIA's NeMo framework to fine-tune large language models with automotive datasets and deployed them using NVIDIA NIM microservices. The session covered test case generation evaluation and showcased an advanced generative AI suite for managing vehicle software complexity, enabling faster delivery of automotive features, including autonomous driving software.

          https://www.nvidia.com/en-us/on-demand/session/aisummitin24-siin1048/
        • [68] 
          Edge Computing and CloudXR Accelerates Mass Adoption of Simulated Reality Devices | GTC Digital October 2020

          Chris Mcleod of NVIDIA, Dominik Schnieders of Deutsche Telekom, and Ioana Mereuta of Dimenco discussed edge computing and CloudXR. They highlighted key drivers for mass adoption of immersive technologies, including native UX and ultra-low latency. Deutsche Telekom and Dimenco shared their experience using NVIDIA Cloud XR SDK to stream realistic simulations at high speeds without wearables.

          https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a21789/
        • [69] 
          Unlocking Speech AI Technology for Global Language Users | Other 2022

          Caroline de Brito Gottlieb and EM Lewis-Jong discussed a collaboration between NVIDIA and Mozilla Common Voice to create a public multilingual speech corpus and open source pretrained models, making automatic speech recognition more accessible for global language users, using NVIDIA's Riva product.

          https://www.nvidia.com/en-us/on-demand/session/other2022-speechaisummit/
        • [70] 
          Identifying the Next Billion Consumers with Satellite Imagery | GTC Digital April 2021

          Kunal Raj Bharadwaj from Sociometrik discussed addressing India's administrative data gaps using alternative data sources, including geospatial intelligence and social data, alongside traditional information, to target the next billion consumers, leveraging NVIDIA technology at GTC Digital April 2021.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s32918/

        • [71] 
          Platform to Deliver Enhanced Surgical Outcomes with AI-Powered Medical Devices | GTC Digital April 2021

          Dr. Patrick Denard and Ray Rahman from Kaliber Labs discussed their development of MeDUSA, a platform that interprets real-time surgical video feeds using AI-powered medical devices. They built applications to support minimally invasive surgical procedures, creating 41 deep learning models for accurate anatomy and pathology recognition. MeDUSA performed tasks such as image labeling, model training, and deployment to NVIDIA Clara AGX edge devices. The platform utilizes NVIDIA's AI hardware and software stacks to process video feeds at scale. Kaliber Labs is making MeDUSA available with the KL Inference SDK to encourage other developers to build surgical AI solutions for various specialties.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s32054/
        • [72] 
          On-Demand Neural Radiance Fields: View Synthesis and 3D Reconstruction for 3D Online Shopping Experiences | GTC Digital Spring 2023

          Kyungwon Yun discussed how neural radiance fields changed online shopping experiences, presenting RECON Labs' NeRF-derived software-as-a-service application powered by Instant Neural Graphics Primitives and Kaolin-Wisp, and sharing lessons learned from client reviews and engineering challenges.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring23-s51547/
        • [73] 
          Conversational Commerce for the Next 500 million | GTC Digital Spring 2022

          Ganapathy Krishnan discussed enabling shopping functions via conversation for India's next 500 million ecommerce customers. He described launching the Decision Assistant, which helps answer product questions, and shared the design process, challenges, and learnings from applying AI technologies at Flipkart.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s41564/
        • [74] 
          Accelerating the Fulfillment Decision Process of Walmart Ecommerce by GPUs | GTC Digital March 2020

          Chenxin Ma and Mingang Fu of Walmart Labs discussed how GPUs accelerated the fulfillment decision process for Walmart ecommerce. They developed a parallelized solver engine in CUDA, exploring billions of solution options in milliseconds, potentially benefiting Walmart's business with higher service levels at lower costs.

          https://www.nvidia.com/en-us/on-demand/session/gtcsj20-s21382/
        • [75] 
          AI-Driven Generative Music for Singing Voice Conversion and DAW-Less Operation with an 18,000-Song Karaoke Catalog | GTC 2024

          Gershon Wolfe, Chief Scientific Officer of DigiTrax Entertainment, presented an application called KR38R-Voice, which utilized diffusion models and deep neural networks to convert an 18,000-song karaoke catalog into new cover songs with substituted singing voices. The development also included a client-server application and information management system called ALLEGRO, which managed training data and song synthesis. A DAW-less system was introduced, allowing users to create music without any prior experience or prerequisites, making music creation more accessible.

          https://www.nvidia.com/en-us/on-demand/session/gtc24-p61591/
        • [76] 
          Cybersecurity and AI in Retail | Other 2023

          Matthew Penn and Killian Sexsmith discussed cybersecurity threats in retail, which saw a 105% increase in ransomware attacks between 2020 and 2021. They explored how NVIDIA's accelerated AI can help organizations address these threats by analyzing network data in real-time.

          https://www.nvidia.com/en-us/on-demand/session/other2023-airetail/
        • [77] 
          Accelerating AI with a Sustainable Information Supply Chain (Presented by IBM) | GTC Digital September 2022

          IBM's David Wohlford and Simon Lorenz discussed accelerating AI with a sustainable information supply chain, focusing on proper data planning for NVIDIA applications, and how customers solved problems faster with seamless data access through IBM's global data platform.

          https://www.nvidia.com/en-us/on-demand/session/gtcfall22-a41474/
        • [78] 
          Retrieval Augmented Generation: A New Frontier in Governmental Efficiency | GTC 2024

          Mihnea Birisan and Ryan Simpson discussed retrieval augmented generation, an AI technology that searches and generates answers from large data sources, and explored its potential to improve federal agency efficiency, decision-making, and data governance using NVIDIA solutions.

          https://www.nvidia.com/en-us/on-demand/session/gtc24-s62731/
        • [79] 
          GPU-Accelerated Processing of Large Tabular Datasets and Distributed Neural Network Training with NVTabular+Dask+Tensorflow for Dynamic Pricing at Walmart | GTC Digital April 2021

          Grant Gelven from Walmart discussed the company's use of deep learning for dynamic pricing on millions of items daily. He demonstrated how to use open-source tools like Dask, NVTabular, and Tensorflow to scale up GPU-accelerated training pipelines for large neural networks. The demonstration showed how to optimize single-machine training with NVTabular and Tensorflow, and then parallelize training of multiple models via Dask. Examples included reading large datasets into GPU memory, preprocessing data with NVTabular Workflows, and training neural networks using tf.distributed on multiple GPUs. The demo code can be adapted for specific use cases, showcasing the potential of GPU-accelerated processing for large tabular datasets and distributed neural network training.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s31806/
        • [80] 
          AI-RAN in Action | GTC 2025

          Aji Ed, Freddie Södergren, Karri Kuoppamaki, Soma Velayutham, and Ryuji Wakikawa discussed the need for an AI-enabled infrastructure at the 5G/6G radio access network edge. They noted that inferencing for generative AI and AI agents requires distributed AI compute infrastructure. Softbank and T-Mobile have transformed their networks to AI-RAN, leveraging accelerated computing infrastructure from NVIDIA to accelerate radio signal processing and AI workloads, increasing spectral efficiency and network capacity.

          https://www.nvidia.com/en-us/on-demand/session/gtc25-s72987/

        • [81] 
          Better, Cheaper, Faster LLM Alignment With KTO | GTC 2024

          Amanpreet Singh discussed a new alignment method called Kahneman Tversky Optimization (KTO) that speeds up the feedback loop by removing the requirement for paired data, making large language model deployments better, cheaper, and faster at GTC 2024.

          https://www.nvidia.com/en-us/on-demand/session/gtc24-s62092/
        • [82] 
          Cybersecurity Developer Day | GTC 2024

          Cybersecurity experts Joel Spurlock from CrowdStrike, and Michael Demoret and Rachel Allen from NVIDIA, discussed the top challenges impacting various industries, including the use of generative AI in cyberattacks. They explored ways to harness this power for cyberdefense, and CrowdStrike's collaboration with NVIDIA to bring accelerated AI to a no-code application development platform was highlighted. The event provided a hands-on experience in using large language models, generative AI, and machine learning techniques to strengthen cybersecurity posture, demonstrating how organizations can gain a competitive advantage with advanced AI capabilities.

          https://www.nvidia.com/en-us/on-demand/session/gtc24-se62821/
        • [83] 
          RAPIDS XGBoost for Price Optimization in the Retail Industry | GTC Digital April 2021

          Deepa Jayaveer discussed TCS Optumera Price Optimization, which leverages deep learning and big data analytics to recommend dynamic prices, considering over 500 parameters, and identifies revenue increase opportunities, utilizing NVIDIA's RAPIDS XGBoost for faster simulation, to drive business growth and profitability.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring21-e31468/
        • [84] 
          Revolutionizing Marketing Analytics With Accelerated Insights Using Code Generation LLMs | AI Summit India 2024

          Ganesh Sankaralingam and Theagarajan Thanikachalam discussed a gen AI solution integrating NVIDIA NIM inference microservices and open-source LLMs for secure inferencing, utilizing NVIDIA GPUs like L40S and A100, to streamline post-analysis tasks and enhance data retrieval from various databases.

          https://www.nvidia.com/en-us/on-demand/session/aisummitin24-siin1246/
        • [85] 
          The Unsolved Challenges of LLMs in Open-Ended Web Tasks: A Case Study | GTC 2024

          Alexandre Lacoste and Nicolas Chapados of ServiceNow, Inc. investigated challenges in developing goal-driven AI agents for open-ended web tasks using zero-shot learning. They evaluated the MiniWoB benchmark and conducted experiments comparing agent design considerations, including action space and observation space, to identify bottlenecks in large language model (LLM)-based zero-shot learning. The experiments aimed to shed light on limitations in this domain and foster further research.

          https://www.nvidia.com/en-us/on-demand/session/gtc24-s62589/
        • [86] 
          Real-Time Model-Agnostic Generated Answer Detection in Text-Based Chat Interview | GTC 2024

          Buddhi Jayatilleke, Demi Dai, and Leo Pham from Sapia.ai demonstrated a real-time detector for large language model-generated answers, built using NVIDIA NeMo, TesorRT, and Triton, which provided sub-second latency warnings during chat interviews.

          https://www.nvidia.com/en-us/on-demand/session/gtc24-p61688/
        • [87] 
          Addressing the QSR Labor Shortage with Automated Speech Order-taking using AI | GTC Digital Spring 2022

          Vistry's Atif Kureishy discussed using NVIDIA's Omniverse Avatar and RIVA SDKs to develop AI-powered QSR kiosks.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42000/
        • [88] 
          Democratizing Healthcare Data with Synthetic Data Generation | GTC Digital April 2021

          Syntegra used GPT-2 to generate synthetic medical records.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s33191/
        • [89] 
          HCLS Dev Summit: Building an Open-source Foundation to Fuel R&D Innovation | GTC Digital Spring 2022

          NVIDIA's Prerna Dogra discussed building an open-source foundation with MONAI and NVIDIA FLARE to fuel R&D innovation. MONAI provided tools for AI-ready datasets and deep learning models, while NVIDIA FLARE addressed siloed data challenges, enabling collaborative AI models.

          https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42639/
        • [90] 
          Changing the Fashion Industry with AI | GTC Digital October 2020

          Eva Engines used AI and NVIDIA.

          https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a21974/
        • • [91] 
            Infosys SLMs: Driving Industry Transformation with AI (Presented by Infosys) | GTC 2025

            Infosys presented its small language models, which drove industry transformation with AI, at GTC 2025, with speakers including Balakrishna D.R. and Kaushal Desai.

            https://www.nvidia.com/en-us/on-demand/session/gtc25-s74459/
          • [92] 
            Building Streaming End-to-end Speech Recognition Service with Triton Inference Server | GTC Digital Spring 2022

            LINE Corp. developed a speech recognition service using a state-of-the-art streaming end-to-end model, leveraging NVIDIA Triton Inference Server to address low latency requirements. Yusuke Kida and Kazuhiro Yamasaki discussed the application of Triton Inference Server, a framework for building fast inference servers using GPUs, to solve the challenge of huge model parameters.

            https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s41195/
          • [93] 
            NVIDIA FLARE: An Open Federated Learning Platform​ | GTC Digital Spring 2022

            Benjamin Glicksberg, Michael Zephyr, Fahime Sheikhzadeh, and other industry experts discussed the importance of federated learning and NVIDIA FLARE, a domain-agnostic SDK. They provided a technical overview of NVIDIA FLARE and its roadmap, and demonstrated its capabilities. Industry partners, including Roche Diagnostics Solutions and Rhino Health, shared their experiences with federated learning. The session also included an open forum where attendees asked questions to the developers and researchers, including Mona Flores, Yan Cheng, and Nicola Rieke from NVIDIA.

            https://www.nvidia.com/en-us/on-demand/session/gtcspring22-se1991/
          • [94] 
            Automotive Design Fueled by Generative AI | GTC 2024

            Ashlee Martino-Tarr and Peter Pang demonstrated NVIDIA's Generative AI, accelerating automotive design with AI-powered assistance.

            https://www.nvidia.com/en-us/on-demand/session/gtc24-s62914/
          • [95] 
            NVIDIA Omniverse Developer Office Hour - 09/30/2022 | Omniverse 2020

            Matias Codesal answered developer questions about Omniverse, Kit, and Python scripting.

            https://www.nvidia.com/en-us/on-demand/session/omniverse2020-om1609/
          • [96] 
            Adobe Demo: David Helmly, Head of Field Operations ProVideo, Demonstrates the Game-changing Speed of Lenovo's ThinkStation P620 (Presented by Lenovo) | GTC Digital October 2020

            David Helmly from Adobe demonstrated the speed of Lenovo's ThinkStation P620 while running Premiere Pro and After Effects with NVIDIA's RTX 5000 GPU, showcasing its power and versatility with support for multiple NVIDIA Quadro graphics cards and high memory and storage capacity.

            https://www.nvidia.com/en-us/on-demand/session/gtcfall20-a22184jp/
          • [97] 
            AI Economics: How Cyndx Kept 3B Requests in Budget (Presented by Cloudflare) | GTC 2025

            Cyndx's Paul Fenton and Cloudflare's Peter Saulitis discussed AI development costs at GTC 2025, sharing strategies for budgeting.

            https://www.nvidia.com/en-us/on-demand/session/gtc25-s74299/
          • [98] 
            Condensa: A Programming System for DNN Model Compression | GTC Digital March 2020

            Saurav Muralidharan from NVIDIA introduced Condensa, a programming system for deep neural network model compression. Condensa allowed users to programmatically compose compression strategies using Python and automatically infer optimal sparsity ratios using a Bayesian optimization-based algorithm. The system reduced the need for extensive experimentation and manual trial-and-error exploration in finding the best compression strategy for a given neural network, target platform, and optimization objective, such as minimizing runtime.

            https://www.nvidia.com/en-us/on-demand/session/gtcsj20-s21599/
          • [99] 
            Data Driven Configurator Workflow - Part 2: Populating The Data Structure | Omniverse 2020

            NVIDIA Omniverse 2020 populated a data structure.

            https://www.nvidia.com/en-us/on-demand/session/omniverse2020-om1758/
          • [100] 
            End-to-End AI From Development to Deployment | GTC Digital Spring 2022

            NVIDIA's Base Command, TAO, and Fleet Command enabled creation and deployment of a retail video analytics application.

            https://www.nvidia.com/en-us/on-demand/session/gtcspring22-d4117/