NVIDIA at Hot Chips 2024

Name: Hot Chips 2024 Conference
Start: 2024-08-25T00:00:00-00:00
End: 2024-08-27T23:59:00-00:00

This year, NVIDIA joined Hot Chips 2024 at Stanford University to showcase how the NVIDIA accelerated computing platform is reimagining the data center for the age of AI. Featuring three powerful architectures—GPU, DPU, and CPU—and a rich software stack, it’s built to take on the modern data center’s toughest challenges.

For more information on this year’s sessions, visit the Hot Chips webpage.

Schedule
Architectures
Solutions
Training

Schedule
Architectures
Solutions
Training

Visit Hot Chips

NVIDIA Presents Innovations at Hot Chips That Boost Data Center Performance and Energy Efficiency

A technology conference for processor and system architects from industry and academia has become a key forum for the trillion-dollar data center computing market.

At Hot Chips 2024, senior NVIDIA engineers presented the latest advancements powering the NVIDIA Blackwell platform, plus research on liquid cooling for data centers and AI agents for chip design.

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2024 Schedule at a Glance

Sun, Aug 25 \| 8:30–10:35 a.m. PT	Introduction to AI in Chip Design Tutorial \| Mark Ren (NVIDIA)
Sun, Aug 25 \| 11:00 a.m.–12:30 p.m. PT	Large Language Model (LLM) Agents for Chip Design Tutorial \| Mark Ren (NVIDIA)
Sun, Aug 25 \| 1:45–3:15 p.m. PT	Next-Generation Cooling for NVIDIA’s Accelerated Computing Tutorial \| Ali Heydari (NVIDIA)
Mon, Aug 26 \| 3:15–4:15 p.m. PT	NVIDIA Blackwell Platform: Advancing Generative AI and Accelerated Computing Talk \| Ajay Tirumala (NVIDIA), Raymond Wong (NVIDIA)

Architectures for the Modern Data Center

Blackwell GPU Architecture

Explore the groundbreaking advancements the NVIDIA Blackwell architecture brings to generative AI and accelerated computing. Building upon generations of NVIDIA technologies, Blackwell defines the next chapter in generative AI with unparalleled performance, efficiency, and scale.

Learn About the Blackwell Architecture

Grace CPU Architecture

The NVIDIA Grace™ CPU delivers high performance, power efficiency, and high-bandwidth connectivity that can be used for HPC and AI applications. NVIDIA Grace Hopper Superchip is a breakthrough integrated CPU+GPU for giant-scale AI and HPC applications. For CPU-only HPC applications, the NVIDIA Grace CPU Superchip provides the highest performance, memory bandwidth, and energy efficiency compared to today’s leading server chips.

Learn About the Grace Architecture

Networking

Modern AI workloads operate at data center scale, relying heavily on fast, efficient connectivity between GPU servers. NVIDIA accelerated networking solutions create the secure, robust, and high-performance infrastructure necessary for the next wave of accelerated computing and AI.

Learn About NVIDIA Networking

Explore NVIDIA Solutions

NVIDIA Generative AI

NVIDIA AI is the world’s most advanced platform for generative AI. Trusted by global organizations at the forefront of innovation, it’s continuously updated and enables enterprises to confidently deploy production-grade generative AI at scale anywhere.

Learn More About NVIDIA AI

NVIDIA Grace Blackwell

NVIDIA GB200 NVL72 connects 36 Grace™ CPUs and 72 Blackwell GPUs in a rack-scale design. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVIDIA NVLink™ domain that acts as a single massive GPU and delivers 30X faster real-time trillion-parameter LLM inference.

Learn More About GB200 NVL72

Programs and Technical Training

NVIDIA Program for Startups

NVIDIA Inception provides over 15,000 worldwide members with access to the latest developer resources, preferred pricing on NVIDIA software and hardware, and exposure to the venture capital community. The program is free and available to tech startups of all stages.

Learn More and Apply

NVIDIA Training

Our expert-led courses and workshops provide learners with the knowledge and hands-on experience necessary to unlock the full potential of NVIDIA solutions. Our customized training plans are designed to bridge technical skill gaps and provide relevant, timely, and cost-effective solutions for an organization's growth and development.

Visit NVIDIA Training

DGX Administrator Training

Learn how to administer the NVIDIA DGX platform for all clusters and systems. Unique courses for DGX H100 and A100, DGX BasePOD, DGX SuperPOD, and even DGX Cloud offer attendees the knowledge to administer and deploy the platform successfully.

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Sun, Aug 25 \| 8:30–10:35 a.m. PT	Introduction to AI in Chip Design Tutorial \| Mark Ren (NVIDIA)
Sun, Aug 25 \| 11:00 a.m.–12:30 p.m. PT	Large Language Model (LLM) Agents for Chip Design Tutorial \| Mark Ren (NVIDIA)
Sun, Aug 25 \| 1:45–3:15 p.m. PT	Next-Generation Cooling for NVIDIA’s Accelerated Computing Tutorial \| Ali Heydari (NVIDIA)
Mon, Aug 26 \| 3:15–4:15 p.m. PT	NVIDIA Blackwell Platform: Advancing Generative AI and Accelerated Computing Talk \| Ajay Tirumala (NVIDIA), Raymond Wong (NVIDIA)