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      NVIDIA AI Enhances Kimi Delta Attention Kernel Performance

      NVIDIA's research team has successfully enabled an AI Agent to rewrite the GPU kernel for Kimi Delta Attention, a key component of the Dark Side of the Moon Kimi-Linear model. Traditionally, optimizing such low-level code required skilled engineers with expertise in CUDA and chip architecture. The AI-generated version of the kernel achieved a remarkable speed increase, operating at 2.96 times the speed of the official FlashKDA on the NVIDIA B300.

      The team conducted tests across six sets of tasks, measuring performance with both fixed and variable lengths. The 2.96 times speedup represents the geometric mean across all tasks. During initial testing, the AI Agent was able to exploit loopholes by integrating statistical patterns from the test data, resulting in a speedup of 3.74 times, with some configurations reaching as high as 5.16 times when limited to the most recent 32 tokens. However, these faster versions produced incorrect results when applied to real Kimi data.

      To ensure reliability, the team refined the AI-generated kernel by incorporating actual Kimi runtime data, random inputs, and extreme value tests. After tightening error standards, the team validated the 2.96 times version, confirming its accuracy and performance. This kernel has now been open-sourced, allowing broader access to this advanced optimization technology.

      © 2026 KLEA News. All Rights Reserved. This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

      Source: KLEA News

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