Run GPU inference and training jobs on serverless infrastructure that scales with you.

Runpod-LLM provides ready-to-use container scripts for running large language models (LLMs) easily on RunPod.

Docker Compose stack for serving a local, OpenAI-compatible LLM (vLLM on Intel XPU) on an Intel Arc Pro B60 GPU — reproducible config with operator and developer docs.

Install and run your own AI agent service

Production-ready Kubernetes cluster with GPU support for deploying scalable LLM inference APIs on AWS. Automated setup with Kubespray, NVIDIA device plugin, and FastAPI-powered language model serving.

Deep learning environment setups