Last week, the Turing Frontier Research Lab launched KernelQuest, a benchmark that tests whether AI agents can perform the full job of GPU kernel optimization.
KernelQuest contains 100 engineer-authored Triton tasks across 21 kernel families. Each task gives an agent a live n profile a PyTorch workload, write and revise kernels, and measure performance. The tasks range from single operators and fused workloads to complete models and large Transformer/MoE workloads.
Learn more in the article below:
KernelQuest contains 100 engineer-authored Triton tasks across 21 kernel families. Each task gives an agent a live n profile a PyTorch workload, write and revise kernels, and measure performance. The tasks range from single operators and fused workloads to complete models and large Transformer/MoE workloads.
Learn more in the article below:
Sep 14, 2026 · 4:31 PM UTC
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The Turing Frontier Research Lab is launching KernelQuest, a benchmark that tests whether AI agents can perform the full job of GPU kernel optimization. x.com/i/article/2097…
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@turingcom Impressive benchmark KernelQuest is raising the bar for real-world GPU optimization!
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