{"repo":"run-house/kubetorch","free":true,"listed":false,"github":"https://github.com/run-house/kubetorch","clone":"git clone https://github.com/run-house/kubetorch.git","description":"Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.","language":"Python","stars":1224,"topics":["artificial-intelligence","aws","data-science","gcp","machine-learning","python","pytorch","ray","serverless","distributed"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"📦Kubetorch🔥 A Fast, Pythonic, \"Serverless\" Interface for Running ML Workloads on Kubernetes Kubetorch lets you programmatically build, iterate, and deploy ML applications on Kubernetes at any scale - directly from Python. It brings your cluster's compute power into your local development environment, enabling extremely fast iteration (1-2 seconds). Logs, exceptions, and hardware faults are automatically propagated back to you in real-time. Since Kubetorch has no local runtime or code serialization, you can access large-scale cluster compute from any Python environment - your IDE, notebooks, CI pipelines, or production code - just like you would use a local process pool. Hello World What Kubetorch Enables - 100x faster iteration from 10+ minutes to 1-3 seconds for complex ML applications like RL and distributed training - 50%+ compute cost savings through intelligent resource allocation, bin-packing, and dynamic scaling - 95% fewer production faults with built-in fault handling with programmatic error recovery and resource adjustment Installation 1. Python Client 2. Kubernetes Deployment (Helm) For detailed setup instructions, see our Installation Guide. Source Layout This repo now includes the customer-facing OSS deployment components that were previously split across internal and OSS repos: - python client/ for the SDK - charts/kubetorch/ for the Helm chart - services/ for the controller and data store sources - release/default images/ for the workload base images - releas","default_branch":null,"files":null,"tree":[],"storefront":"/r/run-house","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/run-house/kubetorch/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}