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Kimi.ai Open-Sources Three Infrastructure Components for Large-Scale Agent Training

2026-07-27 15:31:36

According to PANews, Kimi.ai today released open-source versions of three core infrastructure components: MoonEP, a high-performance communication library for distributed MoE training; AgentENV, a distributed environment system for large-scale agent workflows (developed with kvcache-ai); and FlashKDA, a high-performance kernel based on CUTLASS. The team said the components aim to reduce communication and inference overhead in large-scale MoE and reinforcement learning training, and can serve as a plug-and-play backend for flash-linear-attention.

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