Alibaba has introduced Qwen3.8-Max, its largest AI model yet, featuring 2.4 trillion parameters and a mixture-of-experts architecture to optimize cost and performance. DeepSeek's V4-Flash model, with 284 billion parameters, offers lower inference pricing, challenging competitors in the market. Both companies are promoting open-weight models, allowing developers to deploy AI on their own infrastructure. This move underscores a trend towards more cost-effective and flexible AI solutions in China, as companies like Alibaba and DeepSeek compete on both performance and price.
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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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Alibaba Announces Qwen3.8 Open-Weight Release
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