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Contents

   



(Top)
 


1 History  





2 2021 notable speakers by industry sector  



2.1  Research  





2.2  Architecture, engineering, construction and design  





2.3  Automotive  





2.4  Finance  





2.5  Healthcare  





2.6  Media, entertainment and gaming  





2.7  Retail  





2.8  Telecommunications  







3 2022 notable speakers and sessions  





4 Conference topics  



4.1  Accelerated computing and developer tools  





4.2  Computer vision  





4.3  Cybersecurity and Fraud detection  





4.4  Data science  





4.5  Data center  





4.6  Deep learning  





4.7  Internet of things (IoT), 5G, edge computing  





4.8  Graphics  





4.9  High performance computing (HPC)  





4.10  Conversational AI and natural language processing  





4.11  Recommenders and personalization  





4.12  Autonomous machines  





4.13  3D design collaboration and simulation  





4.14  Video streaming and conferencing  





4.15  XR (virtual and augmented reality)  







5 References  














Nvidia GTC






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From Wikipedia, the free encyclopedia
 

(Redirected from GPU Technology Conference)

Nvidia GTC
Date(s)March & November (4–5 days)
FrequencySemi-annual
VenueSan Jose Convention Center
Location(s)San Jose, California, U.S.
FoundedOctober 2, 2009 (2009-10-02)
Most recentMarch 18, 2024 (2024-03-18)
Next eventTo be announced (~November)
Attendance75,358 (est.)[when?][citation needed]
Organized byNvidia
Websitewww.nvidia.com/gtc/

Nvidia GTC (GPU Technology Conference) is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals.[1] Topics focus on AI, computer graphics, data science, machine learning and autonomous machines. Each conference begins with a keynote from Nvidia CEO and founder Jensen Huang, followed by a variety of sessions and talks with experts from around the world.

It originated in 2009 in San Jose, California, with an initial focus on the potential for solving computing challenges through GPUs.[2] In recent years, the conference focus has shifted to various applications of artificial intelligence and deep learning, including: self-driving cars, healthcare, high performance computing, professional visualization, and Nvidia Deep Learning Institute (DLI) training.[3]

History[edit]

GTC 2018 attracted over 8,400 attendees. Due to the COVID pandemic of 2020, GTC 2020 was converted to a digital event and drew roughly 59,000 registrants. The 2021 GTC keynote, which was streamed on YouTube on April 12, included a portion that was made with CGI using the Nvidia Omniverse real-time rendering platform. Due to the photorealism of the event, including a model of CEO Jensen Huang, news outlets reported not being able to discern that a portion of the keynote was CGI until later revealed in a blog post on August 11.[4]

Event Almanac
Year Dates Location Notable speakers Announcements
2009 Sep 30–Oct 2 San Jose, CA Jensen Huang; Richard Kerris; Jon Peddie; Hanspeter Pfister, Harvard University Fermi microarchitecture;[5][6] Maybe first keynote ever in 3D; double precision n body simulation demo
2010 Sep 20–23 San Jose Convention Center, San Jose, CA Jensen Huang; Sebastian Thrun, robotics at Stanford and engineer at Google; Klaus Schulten, computational biologist, Univ. of Illinois, Urbana-Champaign DX11 Tessellation; Iray on 3DSMax; CUDA x86; Matlab CUDA Accelerated Parallel Computing Toolbox; CUDA roadmap revealed through Maxwell; Quadro graphics cards for video gaming [7]
2011 Dec 14–15 China[8] Jensen Huang CUDA[9][10]
2012 May 14–17 San Jose Jensen Huang; Iain Couzins (Human Brains and Crowd Behavior), and Part Time Scientists Robert Boehme and Wes Faler (Space) Kepler microarchitecture;[11] GeForce Grid (GeForce Now)[12]
2013 Mar 18–21 San Jose Jensen Huang; Erez Lieberman Aiden (genomics pioneer), Ralph V. Gilles (President and CEO of SRT Brand at Chrysler) Face Works for facial animation[13]
2014 Mar 25 San Jose Jensen Huang; Dirk Van Gelder; Danny Nahmias, Adam Gazzaley; Oculus CEO Brandon (announced Facebook was acquiring) NVLink;[14] Pascal microarchitecture;[15] Tegra mobile;[16] Audi drives itself onto stage
2015 Mar 17–20 San Jose Jensen Huang; Elon Musk; Jeff Dean; Andrew Ng; Andrej Karpathy (director of AI/Computer Vision at Tesla) Nvidia Drive; Titan X;[17] Voice recognition[18]
2016 Apr 4–8; Sep 28–29 San Jose; Amsterdam Jensen Huang Pascal microarchitecture new version;[19] DGX-1; Nvidia Drive PX2; iRay; DGX-2
2017 May 8–11 San Jose; Europe; Israel; Japan Jensen Huang Volta Supercomputer;[20] ISAAC Robot Simulator[21]
2018 Mar 26–29 San Jose; Europe; Israel; Japan Jensen Huang Clara for healthcare and biomedical research;[22] ARM partnership announce for IoT;[23] RAPIDS Demo[24]
2019 Mar 17–21 San Jose; Europe; Israel; Japan Jensen Huang GauGAN for animation;[25] Orin auto AI processor;[26] Self-driving car partnership with Toyota;[27] CUDA-X AI acceleration libraries adopted by PayPal, SAS, Walmart and Microsoft[28]
2020 Oct 5–9 Digital[29] Jensen Huang AI Supercomputer for Biomedical Research;[30] Ampere GPUs for visual computing;[31] A100;[32] Artificial Intelligence for Edge and Cloud;[33] ISAAC Demo [34]
2021 Apr 12–16 Digital Jensen Huang; Geoffrey Hinton; Yann LeCun; Yoshua Bengio[35] Grace;[36][37] BMW Virtual Factory;[38] Omniverse Enterprise;[39] SDK for quantum simulations;[40] DGX SuperPOD;[41] Nvidia BlueField 3 DPU[42]
2022 Mar 21–24 Digital Jensen Huang; Andrew Ng, Dale Durran, Doruk Sonmez Hopper architecture,[43] H100 GPU,[44] Jetson AGX Orin[45]
2022 Sep 19–22 Digital Jensen Huang; others speakers to be announced TBA
2023 Mar 20–23 Digital Jensen Huang;

Valerie Taylor, Director, Mathematics and Computer Science Division, Argonne Distinguished Fellow, Argonne National Laboratory;

Demis Hassabis, Founder and CEO, DeepMind;

Ilya Sutskever, Co-founder and Chief Scientist, OpenAI;

Anima Anandkumar, Senior Director of ML Research, Nvidia;

Scott Belsky, Chief Strategy Officer and EVP, Design and Emerging Products, Adobe;

Kathy Smith, Artist and Professor School of Cinematic Arts, University of Southern California;

Soumith Chintala, Researcher, Meta; Kathryn Guarini, Chief Information Officer, IBM Corporation;

Paul Debevec, Chief Research Officer, Netflix Eyeline Studios;

Tonya Custis, Director of AI Research, Autodesk;

Toru Saito, Deputy Chief of Subaru Lab, Subaru Corporation;

Thomas Schulthess, Director, ETH Zurich/The Swiss National Supercomputing Center (CSCS);

Bill Vass, Vice President of Engineering, Amazon Web Services (AWS);

Chike Aguh, Chief Innovation Officer, US Department of Labor;

Tanya Simms, Director for Cyber Policy & Programs, Office of the National Cyber Director, Executive Office of the President;

Sergey Levine, Associate Professor, University of California, Berkeley;

TBA
2024 Mar 18–21 San Jose Jensen Huang Blackwell architecture[46]

2021 notable speakers by industry sector[edit]

Research[edit]

Architecture, engineering, construction and design[edit]

Automotive[edit]

Topics around autonomous vehicles: techniques for developing safer, more efficient transportation, advancements in autonomous driving, end-to-end vehicle simulation, robotaxis, and trucking.[47]

Finance[edit]

Sessions concern impacts of technology advances in financial technology (Fintech). Presentations focus on how companies, consumers, and money interact across industries and how AI allows Fintech interactions to be personalized with recommendation engines, how self-service uses conversational AI, how transactions are secured with fraud-detection models.[48]

Healthcare[edit]

Sessions concern impacts of technology advances in healthcare.

Media, entertainment and gaming[edit]

Retail[edit]

Telecommunications[edit]

Sessions address subject matters concerning telecommunications and 5G: 5G network acceleration and security, AI-on-5G applications, and 6G research.[49]

2022 notable speakers and sessions[edit]

Conference topics[edit]

Accelerated computing and developer tools[edit]

Computer vision[edit]

Cybersecurity and Fraud detection[edit]

Data science[edit]

Data center[edit]

Deep learning[edit]

Internet of things (IoT), 5G, edge computing[edit]

Graphics[edit]

High performance computing (HPC)[edit]

Conversational AI and natural language processing[edit]

Recommenders and personalization[edit]

Autonomous machines[edit]

3D design collaboration and simulation[edit]

Video streaming and conferencing[edit]

XR (virtual and augmented reality)[edit]

References[edit]

  1. ^ "GTC 2021: #1 AI Conference".
  • ^ "NVIDIA Company History: Innovations over the Years".
  • ^ "GTC 2021 Conference Workshops & Training".
  • ^ "Jensen's Kitchen was a lie: Nvidia reveals GTC 2021 keynote nearly 100% fake". 12 August 2021.
  • ^ "Nvidia's 'Fermi' GPU architecture revealed". 30 September 2009.
  • ^ "Jen-Hsun Shows off NVIDIA GT300 'Fermi' Architecture".
  • ^ "Nvidia Unveils New Models of Quadro Graphics Cards". 4 October 2010.
  • ^ "World's Top Computational Scientists Coming to Beijing in December 2011 for NVIDIA GPU Technology Conference" (Press release). 30 August 2011.
  • ^ "NVIDIA Releases CUDA 4.1: CUDA Goes LLVM and Open Source (Kind Of)".
  • ^ "NVIDIA Opens up CUDA Compiler". 13 December 2011.
  • ^ "Celebrating the GPU: Seven Take-Aways from Nvidia's GTC 2012". 21 May 2012.
  • ^ "Nvidia announces GeForce Grid: Cloud gaming direct from a GPU, with games by Gaikai". 15 May 2012.
  • ^ "Goodbye Uncanny Valley: NVIDIA's 'Face Works' Brings Shocking Realism to Facial Animation". Forbes.
  • ^ Archived at Ghostarchive and the Wayback Machine: GPU Technology Conference 2014: Opening, NVLink (part 1) GTC. YouTube.
  • ^ "NVIDIA's next-generation GPU is called Pascal, and it's smaller, faster and more efficient". 25 March 2014.
  • ^ "Nvidia updates GeForce graphics, Tegra mobile roadmaps". ZDNet.
  • ^ Archived at Ghostarchive and the Wayback Machine: Opening Keynote at GTC 2015: Leaps in Visual Computing. YouTube.
  • ^ "NVIDIA GTC: The Race to Perfect Voice Recognition Using GPUs". Forbes.
  • ^ "NVIDIA Unleashes Monster Pascal GPU Card at GTC16". 6 April 2016.
  • ^ "Nvidia's monstrous Volta GPU appears, packed with 21 billion transistors and 5,120 cores".
  • ^ "GTC 2017 Keynote".
  • ^ "Nvidia Clara: World's fastest AI Inferences via GPU-based Architecture". 18 September 2018.
  • ^ "NVIDIA Partners with Arm to Bring Artificial Intelligence to Billions of Internet of Things Devices". April 2018.
  • ^ "GTC Europe 2018 Keynote - Part 1".
  • ^ "Stroke of Genius: NVIDIA Researchers Debut GauGAN at GTC 2019".
  • ^ "Nvidia Announces New Orin Auto AI Processor". Forbes.
  • ^ "NVIDIA Expands Driverless Vehicle Partnership with Toyota". 26 March 2019.
  • ^ "At GTC: Nvidia Expands Scope of Its AI and Datacenter Ecosystem". 20 March 2019.
  • ^ "NVIDIA's GPU Technology Conference goes online in October". 17 August 2020.
  • ^ "Nvidia Opens GTC with Plans for AI Supercomputer for Biomedical Research". 5 October 2020.
  • ^ "Nvidia intros new Ampere GPUs for visual computing". ZDNet.
  • ^ "Nvidia's 5 Biggest GTC 2020 Announcements: From A100 to SmartNICs". 14 May 2020.
  • ^ "Nvidia Asserts Itself as the AI Leader from the Edge to the Cloud". Forbes.
  • ^ "GPU Technology Conference 2019 Keynote".
  • ^ "Nvidia GPU Technology Conference Brings Out the AI All Stars". Forbes.
  • ^ "Nvidia unveils Grace ARM-based CPU for giant-scale AI and HPC apps". 12 April 2021.
  • ^ "Nvidia flexes some enterprise muscle at GTC 2021 conference". 20 April 2021.
  • ^ Knight, Will. "BMW's Virtual Factory Uses AI to Hone the Assembly Line". Wired.
  • ^ "Everything announced at Nvidia's GTC 2021: A data center CPU, SDK for quantum simulations and more". ZDNet.
  • ^ "Everything announced at Nvidia's GTC 2021: A data center CPU, SDK for quantum simulations and more". ZDNet.
  • ^ "Nvidia dips its toes into IaaS with subscriptions for DGX SuperPOD AI supercomputers".
  • ^ "Nvidia unveils BlueField 3 DPU. It's much faster". 12 April 2021.
  • ^ "NVIDIA CEO Jensen Huang Keynote at GTC 2022". NVIDIA. Retrieved 2022-04-30.
  • ^ "NVIDIA CEO Jensen Huang Keynote at GTC 2022". NVIDIA. Retrieved 2022-04-30.
  • ^ "NVIDIA CEO Jensen Huang Keynote at GTC 2022". NVIDIA. Retrieved 2022-04-30.
  • ^ Ray, Tiernan (March 19, 2024). "Nvidia CEO Jensen Huang unveils next-gen 'Blackwell' chip family at GTC". ZDNET.
  • ^ "Self-Driving Cars & Vehicles Conference Sessions at GTC21".
  • ^ "Fintech Conference Sessions at GTC21".
  • ^ "Telcommunications Conference Sessions at GTC21".

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