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newsAI NewsTrust 60Published 22d agoLive · 2mo ago

Hardware startup unveils inference accelerator

The chip targets low-latency serving of mid-sized models.

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paperOne-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining paperQuasiMoTTo: Quasi-Monte Carlo Test-Time Scaling repoopenvinotoolkit/model_server repovllm-project/vllm repollm-d/llm-d repomosecorg/mosec repojmaczan/tiny-vllm repoSemiAnalysisAI/InferenceX repobeam-cloud/beta9 repomicrosoft/onnxruntime reporyansen/qmog-cpp repoluziyao1995/vllm repojundot/omlx repoalibaba/rtp-llm repoquic/efficient-transformers paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs

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paperQuasiMoTTo: Quasi-Monte Carlo Test-Time Scaling repovllm-project/vllm repoopenvinotoolkit/model_server repoalibaba/rtp-llm repomicrosoft/onnxruntime paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs repojmaczan/tiny-vllm repoluziyao1995/vllm repoSemiAnalysisAI/InferenceX repojundot/omlx reporyansen/qmog-cpp repobeam-cloud/beta9 repoquic/efficient-transformers repollm-d/llm-d paperOne-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining repomosecorg/mosec