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local-ai-infrastructure · Found in 5 repositories

modal

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that re

View source: davila7/claude-code-templates ↗

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sk install https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/modal

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sherpa-onnx-ttsLocal text-to-speech via sherpa-onnx (offline, no cloud)lambda-labsReserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystemodalServerless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, omodalRun Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-