Managed Hosting

Serverless GPU compute platform for AI inference and training

Modal is a serverless compute platform that lets developers run AI workloads on GPUs with a Python-first SDK. Functions deploy with decorators, auto-scale from zero to thousands of containers, and bill per second. It supports LLM inference, fine-tuning, batch jobs, and sandboxes, with current GPU options including B200, H200, H100, A100, L40S, A10, L4, and T4. Modal’s 2026 Series C valued the company at $4.65B.

Frontend cloud platform

Frontend cloud platform and the creators of Next.js, providing instant Git-push deployments, a global edge network, and serverless compute for modern web apps. Automatic preview URLs for every pull request, Edge Functions for low-latency dynamic content, Image Optimization, Web Analytics, and the Vercel AI SDK for building AI-powered apps. Supports Next.js, React, Svelte, Nuxt, Astro, and all major frameworks. Generous free tier for personal projects and used by enterprises like Washington Post.

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.

Web platform for modern development

Jamstack-focused cloud platform specializing in deploying static sites, serverless functions, and modern web applications with Git-based CI/CD. Features instant rollbacks, deploy previews for every PR, split testing, edge functions, form handling, identity/auth, and a global CDN with automatic HTTPS. Native support for Next.js, Nuxt, Gatsby, Hugo, Astro, and all major static site generators. Free $0 forever plan plus Personal and Pro credit-based tiers for growing traffic and team workflows.

Build full-stack web & mobile apps on AWS

AWS's TypeScript-based full-stack platform for building and deploying web and mobile applications. AWS Amplify Gen 2 lets developers define backend resources — data, auth, storage, serverless functions — entirely in TypeScript, then auto-provisions AWS resources via CDK. Includes per-developer sandboxes, fullstack branch deployments, real-time data sync, offline support, and seamless Bedrock/Redis integration.

ML inference platform for production AI models

Baseten is the inference platform for deploying AI models at scale with dedicated and pre-optimized model APIs and performance-optimized infrastructure. Specializes in image generation, transcription, text-to-speech, LLM serving, embeddings, and compound AI workloads. Delivers 75% latency reduction with 415ms cold starts and 3000+ concurrent scaling. Available as managed cloud or self-hosted, trusted by Cursor, Notion, Descript, and Sourcegraph for production inference.

MCP integration for Cloudflare Workers and edge services

Cloudflare MCP Server connects AI coding agents to Cloudflare's edge platform through the Model Context Protocol. It enables agents to manage Workers, KV stores, R2 storage, D1 databases, and other Cloudflare services directly from AI assistants, streamlining edge application development and deployment workflows.

JAMstack platform for frontend developers

JAMstack deployment platform that builds and hosts websites on Cloudflare's global edge network across 300+ cities. Cloudflare Pages connects to GitHub or GitLab for automatic deployments on every push, generates unique preview URLs per pull request, supports server-side logic via Pages Functions on Workers, and includes instant rollbacks, branch deployments, and Cloudflare Access controls.

Edge compute platform for serverless applications

Cloudflare Workers is an edge compute platform running serverless JavaScript, TypeScript, Rust, and WebAssembly across 330+ global data centers with near-zero cold starts. Executes code within milliseconds of users worldwide. Features include KV storage, Durable Objects for stateful coordination, R2 object storage, D1 SQLite database, Queues for async processing, and AI inference at the edge. Provides a Wrangler CLI for local development and deployment. Generous free tier with 100K requests/day.

Cloud infrastructure for developers

Cloud infrastructure provider offering Droplets (VMs), managed Kubernetes, app platform PaaS, managed databases (PostgreSQL, MySQL, Redis, MongoDB), Spaces (object storage), serverless functions, and a CDN. Known for developer-friendly docs, simple pricing from $4/month, and a clean API/CLI. Popular with startups and indie devs as a simpler AWS alternative. 1-click marketplace apps and extensive community tutorials.

Simple cloud hosting for developers

Managed PaaS layer built on top of Kubernetes by DigitalOcean. Auto-deploy from GitHub and GitLab with support for Docker containers, static sites, and worker services. Integrates with DO managed databases and Spaces storage, offering a simpler and more affordable cloud platform for teams who want Heroku-like convenience without the enterprise price tag.

Open-source PaaS alternative to Vercel, Heroku, and Netlify

Dokploy is a free open-source platform-as-a-service for self-hosting applications without cloud vendor lock-in. It provides automated deployments from Git repositories, built-in SSL certificates, database provisioning, Docker and Docker Compose support, and a clean web dashboard for managing multiple applications on your own servers. With 18,000+ GitHub stars, it fills the gap for teams wanting Vercel-like deployment simplicity on their own infrastructure.

Open-source control plane for AI workloads across multi-cloud GPU infrastructure

dstack is an open-source platform that orchestrates AI training and inference workloads across heterogeneous GPU infrastructure spanning multiple clouds, Kubernetes clusters, and bare-metal servers. It abstracts away cloud-specific APIs so teams define GPU requirements declaratively and dstack automatically provisions the cheapest available resources from AWS, GCP, Azure, Lambda, or on-premises hardware.

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 platform for app deployment

Heroku is one of the original platform-as-a-service providers, letting developers deploy and scale web apps with a simple git push heroku main. Pioneered buildpacks, dyno-based scaling, and the add-on marketplace for managed Postgres, Redis, workers, and observability. Now a Salesforce product supporting Node.js, Ruby, Python, Java, Go, PHP, and custom Docker containers.

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.

GPU cloud platform for AI training and inference

RunPod is a GPU cloud platform providing on-demand and serverless GPU compute for AI training and inference workloads. It offers NVIDIA A100, H100, and RTX GPUs with per-second billing, serverless inference endpoints with auto-scaling, persistent storage, and Docker-based deployment. Popular with AI developers for its competitive pricing, fast provisioning, and developer-friendly API for deploying ML models at scale.

YC-backed cloud deployment platform for Rust and Python applications

Shuttle is a YC-backed cloud deployment platform that simplifies deploying Rust and Python backend applications. Developers annotate their code with Shuttle macros to declare infrastructure needs like databases, caches, and secrets, and Shuttle provisions the resources automatically on deployment. Features instant deployment, automatic HTTPS, and infrastructure-from-code. Over 6,100 GitHub stars.