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Batch Inference
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Ray Data Processing
ray-data
Orchestra-Research/AI-Research-SKILLs
186
Ray Data offers scalable distributed data processing for ML workloads, streaming across CPU/GPU clusters and integrating with PyTorch, TensorFlow, and Ray Train. Use it for batch inference, ETL, and multi-modal preprocessing from a laptop up to hundreds of nodes.
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Deploy GPU Workloads on CoreWeave
coreweave-hello-world
jeremylongshore/claude-code-plugins-plus-skills
436
This guide demonstrates how to deploy GPU workloads on the CoreWeave platform using Kubernetes (kubectl). It covers deploying vLLM inference services for large language model (LLM) testing and running batch CUDA jobs for benchmarking. This is ideal for users running their first GPU workloads, testing inference pipelines, or verifying cluster access on bare-metal GPU nodes (A100, H100).
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