Skip to content

Sandboxer vs Tensorlake

Tensorlake provides MicroVM sandboxes where suspend and snapshots keep memory, filesystem and running processes, plus GPU sandboxes that use gVisor. It differs from Sandboxer in GPU availability and usage-metered billing, while Sandboxer gives a full Ubuntu VM with Docker and nested KVM. Pick Tensorlake for GPU work; pick Sandboxer for a general-purpose VM.

Checked against Tensorlake's public docs on October 24, 2026. Sources are linked in the table and listed below.

At a glance

Sandboxer and Tensorlake compared
CapabilitySandboxerTensorlake
IsolationmicroVM
Cloud Hypervisor, its own kernel
MicroVM (CPU); gVisor (GPU sandboxes)
Full Linux with root
Ubuntu 24.04, sudo, systemd
Docker inside
Preinstalled
Nested virtualization (/dev/kvm)
Pause and resume with memory
Running processes come back
partial
Suspend preserves memory and filesystem, but only named sandboxes can be suspended.
Fork a sandbox
Copy-on-write disk copy that boots fresh
partial
Snapshots of filesystem, memory and processes can be restored into new sandboxes; clone is described as a use case.
HTTPS URL per port
Private with a token, or public
partial
Exposed user ports are reachable through the proxy; unauthenticated access is an opt-in setting.
Longest sessionNo limit on paid plans
Auto-stop is up to 30 days or off
2 h Free, 24 h Usage Credits, unlimited Pro
Timeout is an idle threshold; terminated sandboxes restartable for 48 h.
BillingPer second, flat rate per size
Stopped sandboxes are free
per active CPU, RAM and disk hour
CPU metered on active execution; RAM and disk charged while running.
GPUs
GPU sandboxes are available and use gVisor.
Self-host or open sourcepartial
Enterprise plan lists in-VPC or on-prem deployment.
RegionsUS East (Virginia) and EU Central (Finland)EU data residency supported; no region list

= not documented publicly.

Price for one 4 vCPU, 8 GB machine

Sandboxer
$0.036/hour
Flat per-second rate for the default size
Tensorlake
$0.40/hour
Usage Credits rate: 4 vCPU × $0.07/h + 8 GB × $0.015/h (Pro: 4 × $0.042 + 8 × $0.009 = $0.24)

List prices from each provider's pricing page, before free credits, plans and storage. This compares price only.

Where Tensorlake is strong

  • Suspend and snapshots keep memory, filesystem and processes.
  • GPU sandboxes are available.
  • Pro plan has unlimited session length and up to 1,000 concurrent sandboxes.
  • A free tier with one sandbox at a time.

Where Sandboxer differs

  • Tensorlake CPU is billed on active execution rather than by reserved size.
  • Tensorlake's GPU sandboxes use gVisor rather than a microVM.
  • Root, Docker and nested virtualization are not documented in the pages fetched.

Pick Tensorlake if

  • You need GPU sandboxes.
  • You want CPU billed only while code is executing.
  • You need EU data residency or in-VPC deployment.

Pick Sandboxer if

  • Your workload needs a full Ubuntu VM with systemd, Docker preinstalled and nested KVM.
  • You want coding agents (Claude Code, Codex, OpenCode, Pi, Kimi Code, Mistral Vibe) preinstalled and driven through a prompt API.
  • You want stop/resume that keeps memory and running processes, with sessions that can run with no time limit on a paid plan.

Sources

Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. Tensorlake is a trademark of its owner. Sandboxer is an independent product and is not affiliated with Tensorlake.

Other comparisons

All 201 comparisons