
China's AI sector is intensifying competition with the US as Moonshot and Alibaba introduce new models that claim to rival leading American systems. Moonshot's Kimi K3 and Alibaba's Qwen3.8 are both large-scale models, with parameter counts of 2.8 trillion and 2.4 trillion respectively, and are set to be open-source. This approach contrasts with the more guarded strategies of US companies, potentially altering the global AI landscape. The releases highlight the narrowing gap in AI capabilities between the two nations.
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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.
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Moonshot's Kimi 3 to Rival Anthropic's Opus 4.8
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