Tensorlake vs Replit

Tensorlake gives your code microVM sandboxes by API, with memory snapshots and warm clones for agents, evals and RL rollouts. Replit is a place where you describe an app, Replit Agent builds it, and Replit hosts it.

The companies and products

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

Replit

Replit is an AI app builder and hosting platform: you describe an app in chat, Replit Agent writes it, and Replit publishes it.

You work in a browser workspace where Replit Agent sets up the project, writes the code, tests it and fixes problems, with system packages managed by Nix. When the app is ready you publish it as an Autoscale, Static, Scheduled or Reserved VM deployment, with Postgres and object storage next to it. It is built for people and teams who want a working app, not for programs that need to create many machines by API, so this page compares the parts where the two overlap.

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. “5th cheapest of 367” means 4 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 workloadTensorlake: price rankReplit: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Tensorlake fits a software factory that starts many agent machines from code; Replit drives one Replit Agent app at a time through its MCP server, and boat adds coding agents built in and /dev/kvm.
5th cheapest of 367
$1,010 a month
181st of 367, with limits
$2,000 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Tensorlake keeps a named sandbox's memory while it sleeps, Replit's always-on option is a Reserved VM billed all month, and boat keeps a full VM on with no session cap.
9th cheapest of 366
$1,381 a month
202nd of 366, with limits
$2,033 a month
5th cheapest of 366
$657 a month
Code interpreter bursts
100 at once · 1 vCPU / 2 GB · 200,000 sessions of 1 min a month
Replit's Autoscale costs less for short bursts because it scales to zero, but it is a web host; Tensorlake is a real code runner and fits fully.
24th cheapest of 345
$250 a month
228th of 345, with limits
$146 a month
186th of 345, with limits
$2,000 a month
Sandboxes for your users
300 at once · 2 vCPU / 4 GB · 30,000 sessions of 23 min a month
Tensorlake allows 1,000 sandboxes at once on Pro, while Replit does not publish how many deployments can run at once; boat also gives each user's sandbox HTTPS URLs and raw TCP.
5th cheapest of 361
$471 a month
233rd of 361, with limits
$825 a month
Cheapest of 361
$209 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, with warm clones from one memory snapshot; neither Replit nor boat's start-rate limits suit a thousand at once.
Cheapest of 360
$5,637 a month
258th of 360, with limits
$4,226 a month
34th of 360, with limits
$2,000 a month
Agent evals
250 at once · 4 vCPU / 8 GB · 15,000 sessions of 20 min a month
24th cheapest of 364
$506 a month
265th of 364, with limits
$685 a month
10th cheapest of 364
$200 a month
CI runners
40 at once · 8 vCPU / 16 GB · 6,000 sessions of 12 min a month
Tensorlake runs Docker inside its sandboxes and Replit's docs do not describe Docker; boat has Docker on every machine and the fastest measured CPU.
54th cheapest of 377
$424 a month
275th of 377, with limits
$425 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
A Replit workspace is a good place to code by hand, Tensorlake's model suspends idle sandboxes, and boat fits a box that stays on all day.
185th of 368, with limits
$250 a month
165th of 368, with limits
$109 a month
18th cheapest of 368
$26 a month
Computer-use agents
50 at once · 4 vCPU / 8 GB · 20,000 sessions of 15 min a month
Tensorlake offers an XFCE desktop with screenshot, mouse and keyboard calls, Replit's VNC pane is for a person to watch, and boat adds a 60fps desktop with Chromium.
9th cheapest of 369
$294 a month
190th of 369, with limits
$619 a month
6th cheapest of 369
$200 a month
Browser-use agents
50 at once · 2 vCPU / 4 GB · 30,000 sessions of 10 min a month
13th cheapest of 367
$250 a month
229th of 367, with limits
$317 a month
7th cheapest of 367
$200 a month
Scraping & bots (startup scale)
50 at once · 1 vCPU / 2 GB · 100,000 sessions of 3 min a month
22nd cheapest of 346
$250 a month
234th of 346, with limits
$217 a month
6th cheapest of 346
$90 a month
Mass scraping & bots (undetectable)
1,000 at once · 1 vCPU / 2 GB · 3,000,000 sessions of 2 min a month
121st of 338, with limits
$3,484 a month
150th of 338, with limits
$4,378 a month
71st of 338, with limits
$1,800 a month
Parallel red teaming
200 at once · 2 vCPU / 4 GB · 5,000 sessions of 30 min a month
4th cheapest of 360
$250 a month
208th of 360, with limits
$215 a month
2nd cheapest of 360
$200 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 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 itCan't run it

Key features

FeatureTensorlakeReplitboat
Kind of productSandbox API: microVMs your code creates, suspends and clonesAI app builder with browser workspaces and app hostingSandboxes you create, stop and fork by API, SDK or CLI
IsolationFirecracker and Cloud Hypervisor microVMs with their own kernel; GPU sandboxes use gVisorNot documented; the security page says strong logical separation between usersFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Starting many machines from codeAPI to create sandboxes, up to 1,000 at once on ProMCP server tools to create, update and publish apps; no API to start many machinesAPI, SDK and CLI to create, stop, resume and fork many sandboxes
Docker and nested virtualizationDocker on the tensorlake/ubuntu-systemd image; no /dev/kvmSystem packages come from Nix; the docs do not describe Docker, systemd or /dev/kvmDocker, root, systemd and /dev/kvm on every machine
Memory snapshotsYes: suspend and snapshots keep running processes and restore warmNo: workspace files and Agent checkpoints at milestonesNo: disk is kept, resume reboots the machine
Clone a running machineCopy a running or suspended sandbox into N warm clones with memoryNo fork of a running machineFork a running sandbox (disk)
Keeping filesNamed sandboxes suspend with memory, billed as snapshot storage; ephemeral ones end on timeoutWorkspace files kept; published apps should not rely on their filesystemSnapshots every minute and on stop; a stopped sandbox costs nothing
Coding agentsYou bring and run your own agentReplit Agent, which you can also drive from an MCP clientClaude Code, Codex, OpenCode and more preinstalled, with a prompt, steer and events API
API keysStored secrets are injected into the sandboxReplit manages keys for some AI model providers; other keys are secrets in the appCredential proxy for model providers and any HTTPS API: real keys never enter the sandbox
Desktop and computer useXFCE desktop with Firefox over VNC, with screenshot, mouse and keyboard callsVNC pane that streams a desktop to your browser; no computer-use API60fps desktop and Chromium, computer use and browser control, embeddable stream
Inbound trafficHTTP, WebSocket and gRPC through an authenticated proxyPublished apps on HTTPS domains and custom domains; SSH into the workspace on paid plansHTTPS URLs for up to 50 ports, token-protected, plus raw TCP and SSH
Hosting a finished appNot a hosting productAutoscale, Static, Scheduled or Reserved VM deployments with Postgres and storageHost from a sandbox with HTTPS URLs; no hosted databases
GPUs and own cloudGPU sandboxes by request; BYOC on AWS, GCP, Azure, CoreWeave, Nebius and bare metalNo GPUs, no bring-your-own-cloudNo GPUs, no bring-your-own-cloud
Where it runsUS and EUData mainly in the US; apps published in North America, Europe, Asia, South America or AustraliaEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureTensorlakeReplitboat
Full VM (own kernel)YesYesYes
Docker insideYesNoYes
Nested virtualizationNoNoYes
RootYesNot publishedYes
SystemdYesNoYes
Desktop GUIYesYesYes
BrowserYesNoYes
Computer-use APIYesNoYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeYesNoYes
Automatic snapshotsYesYesYes
Fork/cloneYesYesYes
Live fork (no pause)YesNoYes
Memory forkYesNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesYesNo
Wake on requestYesYesNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoNot publishedYes
Public IPv4NoNoNo
Egress allowlistYesNoNo
Secret proxyNoYesYes
Secret proxy for any APINoNoYes
Preinstalled agentsNoYesYes
Agent harness APINoYesYes
MCP serverNoYesNo
GPUYesNoNo
WindowsNoNoNo
Arm64NoNot publishedNo
Self-hostingNoNoNo
BYOCYesNoNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedYesYes
Usage per sandbox (API)NoYesYes
Audit logsNot publishedYesNo
SSOYesYesNo
SOC 2YesYesNo
HIPAAYesNoNo
EU data residencyYesYesYes
Zero data retentionYesNot publishedYes

Performance

TensorlakeNot measured
ReplitNot measured
boat26.69 runs/s

boat 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. Neither Tensorlake nor Replit is in that benchmark, so there is no comparable CPU measurement for either of them, and we cannot say which of the two is faster.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Tensorlake and Replit have 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.

ScenarioTensorlake, a monthReplit, a monthboat, 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
$250 · Pro$122 · Pro $100 (annual) · with limits$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$250 · Pro$122 · Pro $100 (annual) · with limits$26 · $20/mo
50 agents in parallel
50 machines of 4 vCPU / 8 GB at once, 8-hour sessions, 1,100 sessions a month, Docker inside
$1,030 · Pro$1,330 · Pro $1,000 (annual) · with limits$317 · $20/mo × 3 seats
Sandboxes for your users
2 vCPU / 4 GB, 30,000 sessions of 10 minutes a month, up to 300 at once
$293 · Pro$403 · Pro $250 (annual) · with limits$200 · $100/mo × 2 seats
1,000 short jobs at once
2 vCPU / 4 GB, 1,000 at once, 3 minutes each, 200,000 jobs a month
$1,127 · Pro$825 · Pro $1,000 (annual) · with limits$2,000 · $2000/mo · with limits

Tensorlake: Pro is $250 per billing cycle, which includes $250 of usage, then $0.01 per CU. CPU is billed only while active, RAM and disk on what you allocate while running, and a suspended sandbox pays snapshot storage; prepaid packs from $5 suit very small use.

Replit: Plans (Core $20, Pro from $100) turn into monthly credits for Agent work and hosting, then pay-as-you-go. A Reserved VM has a fixed monthly price per size and bills busy or idle, while Autoscale bills only while it serves requests.

Replit: You pick a monthly plan from $20, and all of it becomes usage credit spent per second on running sandboxes. A stopped sandbox costs nothing and keeps its disk.

Limits in those scenarios

Replit is marked as not a fit in every scenario because it is an app platform: each always-on machine is one published Reserved VM, it does not document Docker, and it does not publish how many deployments can run at once. Tensorlake fits all five scenarios on Pro, including 1,000 short jobs at once, but an ephemeral sandbox ends after 10 idle minutes by default and size is fixed at creation. boat fits four of five; for 1,000 jobs at once it queues bursts above 90 starts a minute.

ScenarioTensorlakeReplitboat
One coding agent, workdaysNone that bite
  • different kind of product: app platform
  • monthly / always-on product: priced as 1 machines kept on and reused
None that bite
One agent that never stopsNone that bite
  • different kind of product: app platform
None that bite
50 agents in parallelNone that bite
  • adjacent product, not a like-for-like sandbox
  • missing persistent disk, Docker inside
  • different kind of product: app platform
  • how many machines can run at once: limit not published, probably fine at 50 (the typical published limit is 50)
None that bite
Sandboxes for your usersNone that bite
  • adjacent product, not a like-for-like sandbox
  • different kind of product: app platform
  • not confirmed: how many machines can run at once (you need 300; the typical published limit is 50)
None that bite
1,000 short jobs at onceNone that bite
  • adjacent product, not a like-for-like sandbox
  • different kind of product: app platform
  • not confirmed: how many machines can run at once (you need 1,000; the typical published limit is 50)
  • 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)

Which one should you use?

Use Tensorlake when

your code needs to start many sandboxes, fan out warm clones from one memory snapshot, or run GPUs or sandboxes in your own cloud.

  • Machines your code starts. Useful for agent platforms: Tensorlake starts sandboxes by API, up to 1,000 at once on Pro, where Replit has no such API.
  • Memory snapshots and warm clones. Useful for evals and RL rollouts: Tensorlake can save a sandbox's memory and copy it into many warm clones.
  • GPUs and your own cloud. Tensorlake offers GPU sandboxes by request and can run sandboxes in your own AWS, GCP or Azure account.

Use Replit when

you want Replit Agent to build a web app from a description and host it for you, with databases, sleeping when idle and regions worldwide.

  • An app built and hosted for you. Useful if you want a working app from a description: Replit Agent builds, tests and publishes it with Postgres and storage.
  • Hosting that costs nothing when idle. Useful for web apps with uneven traffic: Autoscale wakes on the first request and costs nothing while idle.
  • Regions on five continents. Useful if your users are far from the US or Europe: Replit publishes apps in Asia, South America and Australia too.

Where boat fits

If what you are really running is agents that work for hours, look at boat. Each agent gets a full VM with Docker, /dev/kvm and a desktop, coding agents are built in, and real keys stay outside the machine. Tensorlake is a better pick for big warm fan-outs, and Replit for apps it builds and hosts for you.

Run emulators, VMs and Docker

Tensorlake sandboxes have no /dev/kvm, so an Android emulator or VM does not start, and Replit's docs do not describe Docker or systemd at all. On boat every machine has root, systemd, Docker and /dev/kvm.

Drive agents inside from outside

On Tensorlake you install and wire up your own agent, and Replit's MCP server drives only Replit Agent, with no event stream. boat ships Claude Code, Codex and OpenCode with one API to prompt, steer and stream events.

Keep keys out of the machine

Tensorlake injects stored secrets into the sandbox, and Replit keeps non-model keys as app secrets, so code the agent runs can read them. boat's credentials proxy holds real keys outside for any HTTPS API.

Use boat when your agents do real work for hours: full VMs with Docker, /dev/kvm and a desktop, coding agents built in, and keys kept outside the machine. Compare it one to one: boat vs Tensorlake and boat vs Replit.

Questions people ask

Is Tensorlake cheaper than Replit?

For one agent, Replit's Reserved VM is lower: $122 a month against $250 on Tensorlake Pro, but Replit does not fit as a sandbox. For 50 agents in parallel Tensorlake is $1,030 against $1,330 on Replit, and boat is $317.

Which is faster, Tensorlake or Replit?

There is no comparable measurement: neither is in the hpc-sandbox-benchmarks CPU test. boat scores 26.69 runs/s there, the fastest result measured. Tensorlake's docs say its default image starts in a few hundred milliseconds.

Can Tensorlake or Replit run Docker?

Tensorlake runs Docker on its tensorlake/ubuntu-systemd image, but has no /dev/kvm for emulators or VMs. Replit's docs set up environments with Nix packages and do not describe Docker. Every boat sandbox has Docker, systemd and /dev/kvm.

Is Replit a sandbox for AI agents like Tensorlake?

Not in the usual sense. Replit is an app builder where Replit Agent writes and publishes apps, with no API to start many machines. Tensorlake and boat are sandboxes your code creates by API.

Can I keep an agent's memory when it stops?

On Tensorlake, yes: named sandboxes suspend with memory and running processes. Replit keeps workspace files and Agent checkpoints. boat keeps the disk with snapshots every minute and on stop, but a resume boots the machine again.

Where do Tensorlake and Replit run?

Tensorlake runs in the US and the EU, or in your own cloud account. Replit hosts data mainly in the US and publishes apps on five continents. boat runs only in the EU (Germany, Finland, France), with EU data residency.

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