Blaxel is a cloud infrastructure platform purpose-built for AI agents.

It offers persistent sandboxes that auto-suspend instantly upon inactivity, and resume in 25ms with full state preserved. AI agents can use sandboxes as their own secure computers to run code, persist files and share context across sessions.

Users can scale up to 50,000+ instances concurrently. In addition, Blaxel supports co-located serverless agent hosting, Batch Jobs execution, and a model gateway with built-in controls. The platform supports Python, TypeScript and Golang SDKs with integrations for popular frameworks like AI SDK and OpenAI Agents SDK.

Backed by Y Combinator and First Round Capital, Blaxel serves teams building agents that need to run code, DevOps automation, and other agentic AI applications.

Pay-as-you-go pricing with $200 in free credits to start.

• Persistent Sandboxes: Sandboxes auto-scale to zero after 1 second of inactivity and resume in under 25ms with full memory and filesystem state intact. No cold starts, no deletion policies, and zero cost while idle.
• Co-Located Agent Hosting: Deploy AI agents as serverless, auto-scaling endpoints directly alongside sandboxes to eliminate network hops and reduce end-to-end latency.
• MCP Server Hosting: Deploy custom tool servers on fast-starting infrastructure to extend your agents' capabilities, with hundreds of pre-built MCP servers available out of the box.
• Model Gateway: Intelligent routing layer to LLM providers with built-in telemetry, token cost tracking, and automatic fallback capabilities.
• Framework-Agnostic SDKs: Python and TypeScript SDKs with integrations for LangGraph, CrewAI, PydanticAI, OpenAI Agents SDK, Google ADK, LlamaIndex, and Vercel AI SDK.
• MicroVM Isolation: Each sandbox runs in an individual microVM with kernel-level isolation, preventing LLM prompt injection from escaping the sandbox environment.
• Full Observability Suite: 360-degree visibility into your agents and tools with built-in tracing and telemetry across the entire platform.
• Batch Jobs Engine: Scalable compute engine that lets agents schedule and execute parallel AI processing tasks in the background.

• Ultra-Fast Resume Times: 25ms sandbox resume with full state preservation means your agents respond almost instantly without cold start delays.
• Cost-Efficient Scale-to-Zero: Per-second billing and automatic shutdown after 1 second of inactivity eliminates idle infrastructure costs. Build0 reported an 80% reduction in AI infrastructure costs.
• Strong Security and Compliance: SOC 2 Type II, HIPAA, and ISO 27001 certified with microVM-level isolation and regional data residency options.
• No Framework Lock-In: Works with any Python or TypeScript application that exposes an HTTP API, so you keep full control of your agent code.
• Generous Free Tier: $200 in starting credits with no credit card required to begin, giving you real room to test before committing.

• No GPU Support: CPU-only infrastructure means you cannot run inference or training workloads that require GPU compute.
• Managed-Only Deployment: No bring-your-own-cloud (BYOC) or on-premise option, which limits teams that need airgapped or self-hosted environments.
• Limited Language Support for Hosting: Most agent workflows are built using Python or TypeScript, with fewer supported languages than general cloud platforms.

• AI Coding Assistants: Build coding agents that write, run, and preview code in real-time. Persistent sandboxes keep repositories cloned and dependencies installed between sessions, eliminating 30-90 seconds of setup overhead per interaction. SpawnLabs uses this for real-time code iteration.
• Automated Code Review: Deploy agents that review pull requests in isolated sandboxes. When a new PR arrives, the sandbox resumes with the repo already in place, runs tests, and reports results without risking your production infrastructure.
• DevOps Automation Agents: Deploy autonomous agents that monitor infrastructure and run maintenance tasks.
• Parallel Test Execution: Spin up hundreds of isolated test sandboxes on demand when developers merge PRs simultaneously. Each sandbox runs its test suite independently, then shuts down automatically. You only pay for actual test execution time.
• AI Data Analysis Agents: Generate scripts and run secure data analysis workflows inside isolated compute environments.
• Data Processing Pipelines: Execute AI-generated ETL scripts, SQL queries, and data validation in isolated environments using batch jobs for parallel processing at scale.