DeepSeek R1: Auto-generates GPU Kernels, Shocking NVIDIA

Discover how NVIDIA is leveraging DeepSeek-R1's inference-time scaling to automatically generate optimized GPU kernels, surpassing skilled engineers and transforming AI workflows.

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This attempt only used the R1 model and a basic validator, without specific tools for R1 or fine-tuning proprietary NVIDIA code. According to DeepSeek's introduction, the R1's encoding capabilities are not top-tier.

After DeepSeek made a splash in the AI community, people have been trying local deployments and applications across various fields, continuously proposing directions for improvement based on the new model. Meanwhile, NVIDIA has been experimenting with automating the large model pipeline itself using DeepSeek.

This Wednesday, NVIDIA introduced in a blog post the latest research on using DeepSeek-R1 and inference-time scaling techniques to automatically generate optimized GPU kernels. The results were remarkably good.

Some commented: Is NVIDIA dismantling its moat?