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
= not documented publicly.
Price for one 4 vCPU, 8 GB machine
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 If something here is out of date, email hello@sandboxer.com and we'll fix it.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
Firecracker microVMs with memory-preserving pause and fork, and an open-source stack.
Many sandbox classes, from containers to VMs, Windows and GPUs.
Massive scale and GPUs for short-lived sandboxes, gVisor by default.
Firecracker microVMs billed on active CPU, inside the Vercel platform.
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