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WoolyAI is a runtime that dynamically shares GPU cores and VRAM on NVIDIA GPUs, enabling more ML experiments per GPU without code changes. It integrates with existing stacks like PyTorch, vLLM, and Kubernetes to reclaim idle capacity and improve utilization through core scheduling, VRAM overcommit, and weight deduplication.
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