Ted Hisokawa
Aug 23, 2024 14:53
NVIDIA engineers to unveil developments within the Blackwell platform, liquid cooling, and AI-driven chip design at Hot Chips 2024.
On the upcoming Hot Chips 2024 convention, NVIDIA engineers are set to current groundbreaking improvements aimed at enhancing information heart efficiency and vitality effectivity. The occasion, scheduled for August 25-27 at Stanford College, will characteristic 4 talks by senior NVIDIA engineers, in accordance to NVIDIA Blog.
NVIDIA Blackwell Platform
NVIDIA’s shows will spotlight the NVIDIA Blackwell platform, which integrates a number of chips, techniques, and NVIDIA CUDA software program to drive the following era of AI functions. The NVIDIA GB200 NVL72, a multi-node, liquid-cooled resolution, may even be showcased for its capability to join 72 Blackwell GPUs and 36 Grace CPUs, setting a brand new benchmark for AI system design. Moreover, the NVLink interconnect expertise can be mentioned for its excessive throughput and low-latency capabilities, essential for generative AI.
Liquid Cooling Developments
A good portion of the convention will concentrate on liquid cooling applied sciences. Ali Heydari, director of knowledge heart cooling and infrastructure at NVIDIA, will current designs for hybrid-cooled information facilities. These designs goal to retrofit current air-cooled information facilities with liquid-cooling models, providing a extra environment friendly and space-saving resolution. Heydari’s workforce can be collaborating with the U.S. Division of Vitality on the COOLERCHIPS program to develop superior cooling applied sciences. Utilizing the NVIDIA Omniverse platform, they’re creating digital twins to mannequin vitality consumption and cooling effectivity.
AI-Pushed Chip Design
NVIDIA can be leveraging AI to improve semiconductor design. Mark Ren, director of design automation analysis at NVIDIA, will talk about how AI fashions enhance design high quality and productiveness by automating time-consuming duties. These fashions embrace prediction and optimization instruments that assist engineers analyze and enhance designs quickly. AI brokers powered by giant language fashions (LLMs) are being developed to autonomously full duties, work together with designers, and study from a database of human and agent experiences. Ren will share examples of AI functions in timing report evaluation, cell cluster optimization, and code era.
These shows underscore NVIDIA’s dedication to pushing the boundaries of knowledge heart computing by way of revolutionary applied sciences in AI and cooling options. The corporate’s efforts goal to ship unparalleled efficiency, effectivity, and optimization throughout varied sectors.
Picture supply: Shutterstock
