Netlify

Infrastructure, instantly

Modern cloud platform for deploying full-stack apps, databases, and workers with instant provisioning and usage-based pricing. Deploy from GitHub or CLI with zero config for Node.js, Python, Go, Rust, and Docker. Built-in PostgreSQL, MySQL, Redis, and MongoDB with auto backups. Features private networking, environment management, cron jobs, TCP proxying, and real-time logs. Popular with indie hackers and startups for fast MVPs with a generous free trial including $5 monthly credits.

Run your app close to users

Global application hosting platform that runs full-stack apps, databases, and services close to users in 30+ regions using lightweight Firecracker micro-VMs. Deploy Docker containers or use built-in builders for Rails, Laravel, Django, Node.js, and Go. Features persistent volumes, private networking, auto-scaling, PostgreSQL/Redis managed databases, and a powerful CLI. Ideal for latency-sensitive apps needing multi-region presence. Generous free allowance with pay-as-you-go pricing.

Cloud for the new default

Unified cloud platform for deploying web services, static sites, background workers, cron jobs, and managed databases with automatic scaling and zero DevOps. Auto-deploy from Git with preview environments, built-in DDoS protection, free TLS, and global CDN. Native runtimes for Node.js, Python, Go, Rust, Ruby, Elixir plus Docker. Managed PostgreSQL and Redis with daily backups, private networking, and infrastructure-as-code via Blueprints. Modern Heroku alternative with a free tier.

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.