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InfraTensorlake

Tensorlake

Sandbox-native cloud for AI agents.

Category
Infra
Pricing
FREEMIUM
Hosting
Cloud
Platforms
API
Models
Model-agnostic
Verified
Jun 20, 2026

Tensorlake is a cloud platform that gives AI agents their own isolated, stateful sandboxes for running code and calling tools safely. Each sandbox is a microVM that can pause and resume, so long-running agentic loops keep their state across restarts and can run for hours. It exposes serverless Python workflow APIs that scale to zero when idle, and its earlier document-parsing and OCR API now runs as one workload on top. A free tier is available.

Pros & cons

  • Stateful pause/resume sandboxes
  • Isolated microVM code/tool execution
  • Serverless workflows scale to zero
  • SOC 2 Type 2, encrypted storage
  • Free tier to start
  • Newer, smaller than general clouds
  • Usage-based cost can add up
  • Self-host only on the enterprise tier

Tags

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.

    Firecracker microVM hardware isolation
    No native GPU sandboxes (vs Modal)
    • sandbox
    • code-execution
    • agents
    • open-source
  • 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.

    Sub-100ms sandbox start
    AGPL-3.0 may deter some
    • sandbox
    • code-execution
    • agents
    • infrastructure
    • +1
  • 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.

    Python-decorator infra, no YAML/Dockerfiles
    SDK lock-in; migrating means rewriting
    • gpu
    • serverless
    • python
    • training