Ted Hisokawa
Aug 23, 2024 14:53
NVIDIA engineers to unveil developments within the Blackwell platform, liquid cooling, and AI-driven chip design at Sizzling Chips 2024.
On the upcoming Sizzling Chips 2024 convention, NVIDIA engineers are set to current groundbreaking improvements geared toward enhancing knowledge middle efficiency and power effectivity. The occasion, scheduled for August 25-27 at Stanford College, will function 4 talks by senior NVIDIA engineers, based on NVIDIA Weblog.
NVIDIA Blackwell Platform
NVIDIA’s displays will spotlight the NVIDIA Blackwell platform, which integrates a number of chips, programs, and NVIDIA CUDA software program to drive the following technology of AI purposes. The NVIDIA GB200 NVL72, a multi-node, liquid-cooled resolution, can even be showcased for its capacity to attach 72 Blackwell GPUs and 36 Grace CPUs, setting a brand new benchmark for AI system design. Moreover, the NVLink interconnect know-how 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 middle cooling and infrastructure at NVIDIA, will current designs for hybrid-cooled knowledge facilities. These designs intention to retrofit current air-cooled knowledge 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 Power on the COOLERCHIPS program to develop superior cooling applied sciences. Utilizing the NVIDIA Omniverse platform, they’re creating digital twins to mannequin power consumption and cooling effectivity.
AI-Pushed Chip Design
NVIDIA can be leveraging AI to reinforce semiconductor design. Mark Ren, director of design automation analysis at NVIDIA, will focus on 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 purposes in timing report evaluation, cell cluster optimization, and code technology.
These displays underscore NVIDIA’s dedication to pushing the boundaries of knowledge middle computing by revolutionary applied sciences in AI and cooling options. The corporate’s efforts intention to ship unparalleled efficiency, effectivity, and optimization throughout numerous sectors.
Picture supply: Shutterstock
