A tool for examining GPU scheduling behavior.
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Updated
Aug 17, 2024 - Cuda
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gpu-scheduling
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Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.
ai gpu inference pytorch nvidia autoscaling amd-gpu vgpu gpu-usage gpu-virtualization gpu-scheduling karpenter remote-gpu llm-serving rcuda gpu-pooling
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Mar 11, 2025 - Go
The GPU Optimizer for ML Models enhances GPU performance for machine learning. It offers advanced scheduling, real-time monitoring, and efficient resource management through a user-friendly web interface and robust API, integrating big data technologies for seamless data processing and model optimization. @NVIDIA
model-management gpu-optimization real-time-monitoring secure-api big-data-integration gpu-scheduling
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Jun 29, 2024 - Python
HPC research toolkit infrastructure for interfacing & analyzing LLMs (Kit is composed of: API gateway service, GPU scheduler, model servicer, and web interface)
slurm high-performance-computing natural-language-inference full-stack-application natural-language-procressing gpu-scheduling
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Dec 5, 2024 - Python
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