NVIDIA’s Bleeding-Edge Hopper GPU Features 13,000 Instances of AI-Designed Circuits Leading To Smaller, Faster & More Power Efficient Designs
Hassan Mujtaba
There's no denying the AI Juggernaut that NVIDIA has become over the last couple of years, their GPUs have become the preferred choice not only for HPC but also for data centers, including AI & Deep Learning ecosystems. Recently, NVIDIA announced that it is leveraging AI to design & develop GPUs that are far superior to those created by humans and it looks like the green team's flagship Hopper GPU is a testimonial to that statement which features nearly 13,000 circuit instances that are made entirely by AI.
- NVIDIA's Hopper GPU, The World's Fastest AI Chip, Was Created With The Help of AI - Features Nearly 13,000 AI-Designed Circuits
In a blog published over at NVIDIA's Developer webpage, the company reiterates the benefits and how it, itself, leveraged its AI capabilities to design its greatest GPU to date, the Hopper H100. The NVIDIA GPUs are mostly designed using the state of the art EDA (Electronic Design Automation) tools but with the help of AI which utilizes the PrefixRL methodology, an optimization of Parallel Prefix Circuits using Deep Reinforcement Learning, the company can design smaller, faster and more power-efficient chips while delivering better performance.
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