







How Docker Model Runner integrates vLLM as an inference backend, letting developers run safetensors models with high-throughput serving, PagedAttention, streami
The Industry-Leading Container Runtime | Docker
Read about our industry-leading Docker container runtimes. Docker Engine allows containerized apps to run consistently on any infrastructure — from anywhere.

Docker: Accelerated Container Application Development
Docker is a platform designed to help developers build, share, and run container applications. We handle the tedious setup, so you can focus on the code.

Docker Sandboxes: Run Agents in YOLO Mode, Safely | Docker
Learn from Docker experts to simplify and advance your app development and management with Docker. Stay up to date on Docker events and new version

Docker Brings Compose to the AI Agent Era | Docker
Define, run, and scale AI agents using Docker Compose and Docker Offload. Streamline agentic development across your stack.
Apptainer - Portable, Reproducible Containers
Apptainer is an open source container platform designed to run complex applications on high-performance computing (HPC) clusters in a simple, portable, and reproducible way.
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Cloud native Go: building reliable services in unreliable environments
What do Docker, Kubernetes, and Prometheus have in comm…

Compiling Models to Megakernels
Fine-grained synchronization, deep pipelines, and zero kernel launch overheads, automatically.

Your agent needs a computer, not a container — introducing @cloudflare/computer
Agents need more than just a container to scale. We're introducing @cloudflare/computer, an agent runtime that dynamically orchestrates between fast, efficient isolates and full Linux containers to give every agent a computer of its own.

Build Bigger With Small Ai: Running Small Models Locally
Demystifying llm-d and vLLM: The race to production
Learn how vLLM and llm-d work together for efficient and scalable large language model (LLM) inference. Discover the benefits of disaggregated scaling, expert-parallel scheduling, and KV cache-aware routing.

container/docs/technical-overview.md at main · apple/container
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon. - apple/container
Moving Beyond Containers - Introducing Boxer by Daniel Phillips @Wasm I/O 2025
shepherd-agents/shepherd
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
Docker Engine API v1.50 reference | Docker Docs
Reference documentation and Swagger (OpenAPI) specification for the Docker Engine API.