Models & Labs
Nvidia GTC Reveals New AI Chips
Lev Selectorhigh confidence
Why it matters
- →The new chip will accelerate AI development and deployment across various sectors.
At the Nvidia GTC conference, the company unveiled its latest GB300 desktop chip, boasting an impressive performance of 20 petaflops. This advancement is expected to significantly enhance AI processing capabilities, enabling more complex computations and faster model training. The introduction of such powerful hardware is crucial for developers and researchers working on cutting-edge AI applications.
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llama.cpp b11193 adds Snapdragon Hexagon and ROCm 10
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.
llama.cpp Releases
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