
NVIDIA has unveiled the Spectrum-6 Ethernet switch system, a major leap in AI networking technology, offering 102.4 terabits per second capacity. This system is part of the NVIDIA Vera Rubin platform and is designed to support the massive data exchange required in gigascale AI factories. Companies like CoreWeave and Microsoft are among the first to adopt this technology, which promises to enhance the performance and efficiency of AI model training and inference. Spectrum-6's introduction signifies a shift towards more integrated and high-performance AI infrastructure.
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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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