
Together AI has collaborated with Thinking Machines Lab to release the Inkling model on their platform from day one. Inkling is a multimodal mixture-of-experts model that handles text, image, and audio inputs, designed for efficient reasoning and broad task versatility. It features architectural innovations such as query-conditioned relative attention and short causal convolutions. This partnership allows developers to access Inkling's capabilities through Together AI's serverless platform, facilitating the development of applications with complex reasoning and multimodal input processing.
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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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Together AI launches Inkling model on day 0
5 developments