repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
mosecorg/mosec
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 52%Hardware startup unveils inference accelerator →
- PossiblePossibly related (embedding) · 48%One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining →
- PossiblePossibly related (embedding) · 48%Lattice Labs →
- PossiblePossibly related (embedding) · 48%NVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout →
- PossiblePossibly related (embedding) · 48%Accelerate protein design with BoltzGen on Amazon SageMaker AI →
- PossiblePossibly related (embedding) · 56%WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs →
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newsAccelerate protein design with BoltzGen on Amazon SageMaker AIpaperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMscompanyLattice LabsnewsNVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure BuildoutnewsHardware startup unveils inference acceleratorpaperOne-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining