bochka vs Tensorlake

Both give each agent its own kernel. bochka gives it a full VM on a dedicated Ryzen 9 host, with nested virtualization, coding agents built in and keys that never enter the machine, while Tensorlake gives it a microVM that can freeze its memory and wake up warm.

Where bochka stands out

Run emulators and VMs inside

Every bochka sandbox is a full VM with /dev/kvm, so an agent can boot an Android emulator or its own VMs. Tensorlake's sandboxes tell programs that nested virtualization is not available. If your agents test mobile apps or run VMs, this decides it.

Get coding agents with keys kept outside

bochka ships Claude Code, Codex, OpenCode and other agents in every machine, and you drive agents inside from outside with one API for prompts, steering and events. Your real API keys stay in a proxy outside the sandbox, so code inside cannot read them. On Tensorlake you install your own agent and pass secrets into the sandbox.

Reach it like a server

A bochka sandbox gets HTTPS URLs for up to 50 ports, raw TCP and its own IP address, and it can stay on with no session cap on paid plans. Tensorlake routes HTTP, WebSocket and gRPC through its proxy, which covers web apps but not raw TCP services.

The companies and products

bochka

bochka.xyz runs sandboxes for AI agents: each one is a full Linux VM with its own kernel.

You start a machine with one command or one API call, then SSH in, run Docker, open a desktop, or let a built-in agent (Claude Code, Codex, OpenCode and others) work in it. The disk stays between sessions, and a stopped sandbox costs nothing.

Tensorlake

Tensorlake is a San Francisco company that sells infrastructure for AI agents, with sandboxes as its main product.

Tensorlake Sandboxes are microVMs, backed by Firecracker and Cloud Hypervisor, that you create through an API and that boot in a few hundred milliseconds. Named sandboxes suspend when idle and keep their memory and running processes, and you can copy a running sandbox into several warm clones. Around them Tensorlake sells versioned file systems, hosted Git, an orchestration layer and a bring-your-own-cloud option, aimed at teams running coding agents, evals and RL rollouts.

Headquarters
San Francisco

Which use cases each one fits

For each use case, Battleships prices every sandbox provider on the same workload and sorts them from the cheapest monthly bill up. “3rd cheapest of 367” means 2 of the other 366 providers run that workload, with every feature it needs, for less. “With limits” means the provider runs it but misses something, so it is listed after every full match. Open a use case for its whole ranking and what each provider misses.

Use case and its workloadbochka: price rankTensorlake: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Both fit a full software factory; bochka adds nested virtualization for Android emulators and preinstalled coding agents.
3rd cheapest of 367
$634 a month
5th cheapest of 367
$1,010 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Both keep an agent's files between sessions; Tensorlake also keeps its memory while it sleeps, and bochka keeps the machine on with no session cap.
5th cheapest of 366
$657 a month
9th cheapest of 366
$1,381 a month
Code interpreter bursts
100 at once · 1 vCPU / 2 GB · 200,000 sessions of 1 min a month
Tensorlake fits lots of one-minute runs better, because bochka's start-rate limits queue big bursts of new machines.
186th of 345, with limits
$2,000 a month
24th cheapest of 345
$250 a month
Sandboxes for your users
300 at once · 2 vCPU / 4 GB · 30,000 sessions of 23 min a month
Both create a sandbox per user through an API; bochka also hands each one HTTPS URLs, raw TCP and a per-sandbox usage API.
Cheapest of 361
$209 a month
5th cheapest of 361
$471 a month
RL rollouts
1,000 at once · 2 vCPU / 4 GB · 1,000,000 sessions of 3 min a month
Tensorlake is built for RL rollouts at a thousand at a time, and bochka's start-rate limits make that a compromise.
34th of 360, with limits
$2,000 a month
Cheapest of 360
$5,637 a month
Agent evals
250 at once · 4 vCPU / 8 GB · 15,000 sessions of 20 min a month
10th cheapest of 364
$200 a month
24th cheapest of 364
$506 a month
CI runners
40 at once · 8 vCPU / 16 GB · 6,000 sessions of 12 min a month
Both run fresh build machines; bochka's Ryzen 9 9950X hosts are the fastest measured on the CPU benchmark.
4th cheapest of 377
$86 a month
54th cheapest of 377
$424 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
bochka fits a box that stays on all day better, since Tensorlake's model is built around suspending idle sandboxes.
18th cheapest of 368
$26 a month
185th of 368, with limits
$250 a month
Computer-use agents
50 at once · 4 vCPU / 8 GB · 20,000 sessions of 15 min a month
6th cheapest of 369
$200 a month
9th cheapest of 369
$294 a month
Browser-use agents
50 at once · 2 vCPU / 4 GB · 30,000 sessions of 10 min a month
7th cheapest of 367
$200 a month
13th cheapest of 367
$250 a month
Scraping & bots (startup scale)
50 at once · 1 vCPU / 2 GB · 100,000 sessions of 3 min a month
6th cheapest of 346
$90 a month
22nd cheapest of 346
$250 a month
Mass scraping & bots (undetectable)
1,000 at once · 1 vCPU / 2 GB · 3,000,000 sessions of 2 min a month
71st of 338, with limits
$1,800 a month
121st of 338, with limits
$3,484 a month
Parallel red teaming
200 at once · 2 vCPU / 4 GB · 5,000 sessions of 30 min a month
Both give root in a real kernel; bochka adds raw TCP inbound and nested virtualization for tools that need them.
2nd cheapest of 360
$200 a month
4th cheapest of 360
$250 a month
GPU eval jobs
10 at once · 8 vCPU / 32 GB · 500 sessions of 30 min a month
Can't run itCan't run it
macOS agents
5 at once · 4 vCPU / 8 GB · 1,000 sessions of 20 min a month
Can't run itCan't run it

Key features

FeaturebochkaTensorlake
IsolationFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hostsFirecracker and Cloud Hypervisor microVMs with their own kernel; GPU sandboxes use gVisor
Nested virtualizationYes, /dev/kvm inside, so Android emulators and VMs runNo: sandboxes set SANDBOX_KVM_AVAILABLE=0
Docker insideYes, with root and systemdYes, on the tensorlake/ubuntu-systemd image
Memory snapshotsNo: disk is kept, resume reboots the machineYes: memory snapshots and suspend keep running processes and restore warm
Clone a running sandboxFork a running sandbox (disk)Copy a running or suspended sandbox into N warm clones with memory
Keeping stateSnapshots every minute and on stop; a stopped sandbox costs nothingNamed sandboxes suspend with memory, billed as snapshot storage; ephemeral ones end on timeout
Idle handlingTime-to-live (1 h by default, changeable or off); no idle timerIdle timeout, 600 s by default, then suspend or terminate
Desktop and computer use60fps desktop and Chromium, computer-use and browser control, embeddable streamXFCE desktop with Firefox over VNC, with screenshot, mouse and keyboard calls
Built-in agentsClaude Code, Codex, OpenCode and more preinstalled, with a prompt, steer and events APIYou bring and run your own agent; managed images are plain OS bases
API keysCredential proxy: real keys never enter the sandboxStored secrets are injected into the sandbox
Inbound trafficHTTPS URLs for up to 50 ports, token-protected, plus raw TCP and a dedicated IP per machineHTTP, WebSocket and gRPC through an authenticated proxy on exposed ports
Outbound rulesNo provider-side allowlist; you set your own firewall as rootallow_out and deny_out lists by domain, IP or CIDR, or no internet at all
GPUsNoneGPU sandboxes by request (H100 shown in the docs)
Where it runsEU only: Germany, Finland, FranceUS and EU, or your own cloud account through BYOC
Compliance and transparencySOC 2 is in progress. We're open about where we stand: live status and data retention policy.SOC 2
Every feature Battleships tracks (43)
FeaturebochkaTensorlake
Full VM (own kernel)YesYes
Docker insideYesYes
Nested virtualizationYesNo
RootYesYes
SystemdYesYes
Desktop GUIYesYes
BrowserYesYes
Computer-use APIYesYes
SSHYesYes
Persistent diskYesYes
Pause/resumeYesYes
Automatic snapshotsYesYes
Fork/cloneYesYes
Live fork (no pause)YesYes
Memory forkNoYes
Custom image (Docker or snapshot)YesYes
≥24 h sessionsYesYes
Idle auto-stopNoYes
Wake on requestNoYes
HTTPS preview URLsYesYes
Raw TCP inboundYesNo
Public IPv4NoNo
Egress allowlistNoYes
Secret proxyYesNo
Secret proxy for any APIYesNo
Preinstalled agentsYesNo
Agent harness APIYesNo
MCP serverNoNo
GPUNoYes
WindowsNoNo
Arm64NoNo
Self-hostingNoNo
BYOCNoYes
Open sourceNoNo
Scoped API keysYesNot published
Spend limitsYesNot published
Usage per sandbox (API)YesNo
Audit logsNoNot published
SSONoYes
SOC 2NoYes
HIPAANoYes
EU data residencyYesYes
Zero data retentionYesYes

Performance

bochka26.69 runs/s
TensorlakeNot measured

bochka scores 26.69 runs/s on the hpc-sandbox-benchmarks Node.js build-and-test loop at 4 vCPU / 8 GB, the fastest result measured. Tensorlake has no published result on this benchmark, so there is no comparable CPU measurement between the two. Tensorlake's own docs say its default image starts in a few hundred milliseconds.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Tensorlake has no published run in this suite yet, so there is no like-for-like number to compare.

Pricing in five scenarios

Each bill is priced from the providers' public price lists by the open Battleships engine, with the cheapest plan that runs the scenario.

Scenariobochka, a monthTensorlake, a month
One coding agent, workdays
4 vCPU / 8 GB, 50 GB disk, 8 hours a day, 22 days a month, files kept between days
$20 · $20/mo$250 · Pro
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$26 · $20/mo$250 · Pro
50 agents in parallel
50 machines of 4 vCPU / 8 GB at once, 8-hour sessions, 1,100 sessions a month, Docker inside
$317 · $20/mo × 3 seats$1,030 · Pro
Sandboxes for your users
2 vCPU / 4 GB, 30,000 sessions of 10 minutes a month, up to 300 at once
$200 · $100/mo × 2 seats$293 · Pro
1,000 short jobs at once
2 vCPU / 4 GB, 1,000 at once, 3 minutes each, 200,000 jobs a month
$2,000 · $2000/mo · with limits$1,127 · Pro

bochka: You pick a monthly plan from $20, and the whole fee becomes usage credit. Running time is billed per second, and a stopped sandbox costs nothing while its disk is kept.

Tensorlake: Pro is $250 per billing cycle, which includes 25,000 CU ($250) of usage, then $0.01 per CU. CPU is billed only while it is actively working, RAM and disk are billed on what you allocate while the sandbox runs, and a suspended sandbox pays snapshot storage per GB-month.

Tensorlake: Small users can skip Pro and buy prepaid Usage Credits packs from $5 at higher rates, with no overage: sandboxes stop when the balance hits zero. The table prices the Pro path, so it overstates very small workloads.

Limits in those scenarios

bochka's limit that bites is how fast new machines start: even the $2,000/mo plan queues bursts above 90 starts a minute, so 1,000 short jobs at once does not fit. Tensorlake's Pro plan allows 1,000 sandboxes at once with no published start rate, but its prepaid Usage Credits plan caps each sandbox at 4 vCPU / 16 GB and 24-hour sessions. On Tensorlake, CPU, memory and disk are fixed when a sandbox is created, disk is 10 to 100 GiB, and an ephemeral sandbox ends after 10 idle minutes by default.

ScenariobochkaTensorlake
One coding agent, workdaysNone that biteNone that bite
One agent that never stopsNone that biteNone that bite
50 agents in parallelNone that biteNone that bite
Sandboxes for your usersNone that biteNone that bite
1,000 short jobs at once
  • max 2,400 starts/day (needs ~6,667)
  • max 600 starts/hour (needs ~1,000)
  • bursts above 90 starts/min are queued (a burst of 333 takes ~4 min to start)
None that bite

Which one should you use?

Use Tensorlake when

you fan out about a thousand short rollouts at once from one warm state, or need GPUs, US regions or sandboxes in your own cloud account.

  • Memory snapshots and warm clones. Useful when an agent must pick up mid-process: Tensorlake can save a sandbox's memory and copy it into warm clones.
  • GPUs and your own cloud. Tensorlake offers GPU sandboxes by request and can run in your own AWS, GCP, Azure, CoreWeave, Nebius or bare-metal account.
  • Outbound rules and US regions. Tensorlake can allow or deny outbound traffic by domain, IP or CIDR, and it runs in the US as well as the EU.

Use bochka when

your agents do real work for hours: installs, builds, tests, Docker, emulators and a desktop, with coding agents built in and keys kept outside the machine.

  • Run emulators and VMs inside. Tensorlake sandboxes have no /dev/kvm, so an Android emulator or a VM does not start at all. An agent that tests a mobile app has nowhere to run it.
  • Get coding agents with keys kept outside. On Tensorlake you install and wire up the agent harness yourself, and stored secrets are injected into the sandbox the agent controls, where one prompt injection can leak them.
  • Reach it like a server. Tensorlake's proxy carries only HTTP, WebSocket and gRPC, so a database or other raw TCP service an agent starts can't be reached, and an ephemeral sandbox ends after 10 idle minutes by default.

Questions people ask

Is bochka cheaper than Tensorlake?

In four of the five scenarios we price, yes: one coding agent on workdays is $20 a month on bochka and $250 on Tensorlake Pro, and 50 agents in parallel is $317 against $1,030. For 1,000 short jobs at once Tensorlake fits and bochka does not, because of bochka's start-rate limits. Very small workloads can be cheaper on Tensorlake's prepaid packs than on its Pro plan.

Does Tensorlake support nested virtualization?

No. Tensorlake sandboxes set SANDBOX_KVM_AVAILABLE=0 and its docs say not to use KVM with QEMU. bochka exposes /dev/kvm, so Android emulators and VMs run inside.

Can I keep a sandbox's memory when it stops?

On Tensorlake, yes: named sandboxes suspend with memory and running processes, and memory snapshots restore warm. On bochka the disk is kept through snapshots every minute and on stop, but a resume boots the machine again.

Which one has GPUs?

Tensorlake offers GPU sandboxes by request, running on gVisor. bochka has no GPUs.

Where do bochka and Tensorlake run?

bochka runs only in the EU (Germany, Finland, France), with EU data residency and a zero data retention option. Tensorlake runs in the US and the EU, and can also run in your own cloud account through BYOC.

Is bochka SOC 2 compliant?

SOC 2 is in progress. We're open about where we stand: live status at status.bochka.xyz and our data retention policy at docs.bochka.xyz/data-retention. Tensorlake lists SOC 2 Type II on its pricing page.

Start a sandbox

Install the CLI, then run bochka new.

Product preview

More comparisons

Bochka product preview · Pricing, benchmarks and commands are illustrative. Sandbox provisioning is not connected.