
NVIDIA has unveiled Nemotron 3.5 ASR, a new automatic speech recognition model designed for live multilingual streaming. This release includes features such as word boosting and speaker diarization, enhancing its application in diverse audio scenarios. The model is also cache-aware and available in quantized versions, which improve its efficiency and performance. This development underscores NVIDIA's commitment to advancing ASR technology, providing developers with more robust tools for building sophisticated audio processing systems.
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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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