
Moonshot has released the weights for its Kimi K3 model, making it the largest open AI model available. The 2.8 trillion parameter model requires significant GPU resources to run, but Moonshot has also opened key components of its stack for broader use. This release could change the landscape of AI accessibility, as it challenges the current trend of restricted access to advanced models. The move comes amid U.S. concerns about the competitive edge of Chinese open models.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
© Lev SelectorNVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
TechCrunch AI · May 7, 2026 · Related
Sam Witteveen · June 4, 2026 · Background
Lev Selector · June 19, 2026 · Same story
The Rundown AI · June 29, 2026 · Background
NVIDIA Blog · July 6, 2026 · Background
Fireship · July 20, 2026 · Background
The AI Daily Brief · July 21, 2026 · Same story
Cole Medin · July 24, 2026 · Related
Together AI Blog · August 1, 2026 · Same story
WIRED AI · August 7, 2026 · Related
Hugging Face Blog · August 14, 2026 · Related
Together AI Blog · September 9, 2026 · Related
TechCrunch AI · September 11, 2026 · Same story
Moonshot's Kimi 3 to Rival Anthropic's Opus 4.8
16 developments