Skip to content

InfraBlaxel

Blaxel

Perpetual secure sandboxes that keep AI agents on warm standby.

Category
Infra
Pricing
FREEMIUM
Source
Proprietary
Hosting
Cloud
Platforms
APICLIWeb
Models
Model-agnostic
Verified
Jun 15, 2026

Blaxel is serverless infrastructure for AI agents: secure sandboxes that spin up in seconds, hibernate after a second of inactivity at zero idle cost, and resume in roughly 25ms with full memory and filesystem state intact. It co-hosts agents, MCP servers, and batch tasks on one backbone, and adds an LLM gateway with caching, rate-limiting, and observability. Snapshots and forking let teams branch agent state for rapid experimentation.

Pros & cons

  • Near-instant ~25ms sandbox resume
  • Zero cost while idle/hibernated
  • Co-hosts agents, MCP servers, and tasks
  • Snapshots and forking of agent state
  • Up to $200 in free credits
  • Cloud-only, no self-host
  • Early-stage (YC S25) startup
  • Developer infra, not an end-user app

Tags

Further reading

Alternatives to Blaxel (4)

View all Infra →
  • View E2B details
    InfraFREEMIUMOpen core

    E2B

    E2B

    Secure cloud sandboxes for running AI-generated code.

    Open-source infrastructure that spins up isolated cloud sandboxes so AI agents can execute generated code safely. Python and JS/TS SDKs cover code interpretation, data analysis, and computer-use desktops, with per-second billing. Self-host or BYOC/on-prem is supported for enterprise.

    Worth knowing

    Prague-founded (2023); a $21M Series A led by Insight Partners in 2025, with most of the Fortune 100 signed up.

    • sandbox
    • code-execution
    • agents
    • open-source
    Open
  • View Modal details
    InferenceFREEMIUM

    Modal

    Modal Labs

    Serverless GPUs. Run training, inference, batch jobs from Python.

    Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.

    Worth knowing

    Co-founded by Erik Bernhardsson, who built Spotify's recommender; raised a $355M Series C at a $4.65B valuation in 2026.

    • gpu
    • serverless
    • python
    • training
    Open
  • View Daytona details
    InfraFREEMIUMOpen core

    Daytona

    Daytona

    Secure, elastic sandboxes for running AI-generated code.

    Infrastructure for executing AI-generated code in isolated sandboxes — each a full composable computer with a dedicated kernel, filesystem, network stack, and allocated CPU, RAM, and disk. Sandboxes start in under 90ms, snapshot for persistence, and are driven programmatically through SDKs (Python, TypeScript, Ruby, Go, Java), an API, and a CLI. AGPL-3.0 and available as a managed service, self-hosted stack, or hybrid where you bring your own compute.

    Worth knowing

    Pivoted from cloud dev-environments to agent sandboxes; raised a $24M Series A led by FirstMark in 2026.

    • sandbox
    • code-execution
    • agents
    • infrastructure
    • +1
    Open
  • View Runloop details
    InfraFREEMIUM

    Runloop

    Runloop AI, Inc.

    Cloud Devboxes and benchmarks for running AI coding agents at scale.

    Runloop provides isolated, cloud-based development environments — "Devboxes" — where AI coding agents safely execute code with full filesystem, build-tool, and compiler access. Teams spin up thousands of Devboxes on demand for large-scale agent tasks and tear them down when done. A benchmarking suite lets you evaluate and compare agents on standardized tests, and enterprise deployments add compliance and VPC options.

    Worth knowing

    Raised a $7M seed led by The General Partnership and shipped public Devbox benchmarks for measuring AI coding agents.

    • devbox
    • code-sandbox
    • coding-agents
    • agent-infra
    • +1
    Open
Open Blaxel