Apple Containerization

Fast and lightweight Docker Desktop alternative for macOS

OrbStack is a macOS application that replaces Docker Desktop with lightweight container and Linux VM management. Its docs emphasize fast starts, lower CPU and memory overhead, and native macOS integration with menu bar controls, file sharing, and network access to containers by name, with exact gains depending on workload. Supports Docker, Kubernetes, and full Linux VMs.

Build, share, and run containers

Industry-standard container platform for building, shipping, and running applications in isolated, reproducible environments. Package apps with all dependencies into portable containers using Dockerfiles and images. Docker Compose orchestrates multi-container applications. Docker Hub hosts millions of pre-built images. Docker Desktop provides GUI management on Mac/Windows. Essential for local development, CI/CD, and production deployments. The foundation of modern containerized infrastructure.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

Official Kubernetes and Helm reference stack built on the vLLM inference engine

Official vLLM reference implementation for scaling the existing inference engine on Kubernetes with Helm, request routing, KV-cache offload, autoscaling and Prometheus/Grafana observability.

Distributed inference orchestration above vLLM, SGLang and TensorRT-LLM

Open-source, datacenter-scale orchestration layer that coordinates vLLM, SGLang and TensorRT-LLM across nodes with disaggregated serving, KV-aware routing, multi-tier cache management and automatic scaling.

Open-source GPU control plane for scalable AI model serving

Open-source GPU cluster manager that configures vLLM, SGLang, TensorRT-LLM or custom engines, serves models through compatible APIs, and provisions SSH-accessible GPU instances across on-premises, Kubernetes and cloud environments.

Disaggregated KV cache storage and transfer for LLM serving

Open-source infrastructure for disaggregated LLM serving that pools KV caches across prefill and decode workers, with high-performance transfer, distributed storage and integrations for vLLM and SGLang.

Reusable KV cache infrastructure for scalable LLM inference

Open-source KV cache management layer that persists, offloads and reuses model key-value caches across requests and serving engines to reduce repeated prefill work and improve inference throughput.