Tensorlake vs Freestyle

Both can freeze a sandbox with its memory and copy it into warm clones. Tensorlake gives each agent a Firecracker microVM with a desktop, GPUs by request and a bring-your-own-cloud option, while Freestyle gives it a full KVM VM with nested virtualization, coding agent CLIs and a default-deny firewall.

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

Freestyle

Freestyle sells full Linux virtual machines for AI agents, built for long running, complex tasks.

Each Freestyle VM is a KVM virtual machine with its own kernel, booted from an Ubuntu base snapshot with systemd, Docker and coding agent CLIs preinstalled. VMs can be paused with their memory, snapshotted while running, forked and woken by the next request, and every VM starts behind a default-deny firewall. It is built for teams that give each agent or each user its own machine, driven from a TypeScript SDK, a CLI or an API.

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 rankFreestyle: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Tensorlake fits a full software factory and Freestyle is a compromise there; boat adds nested virtualization, which Tensorlake lacks, on faster CPUs than Freestyle.
5th cheapest of 367
$1,010 a month
241st of 367, with limits
$3,311 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
9th cheapest of 366
$1,381 a month
263rd of 366, with limits
$4,195 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
Both fit short code runs well, since both pause with memory and resume warm; boat's start-rate limits make big bursts a compromise.
24th cheapest of 345
$250 a month
40th cheapest of 345
$482 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
All three fit a sandbox per user; Freestyle wakes a paused VM on its next request, and boat adds HTTPS URLs, raw TCP and a per-sandbox usage API.
5th cheapest of 361
$471 a month
16th cheapest of 361
$1,358 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 rollouts at a thousand at a time from warm clones, while Freestyle's Pro plan stops at 400 VMs at once.
Cheapest of 360
$5,637 a month
107th of 360, with limits
$6,600 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
53rd cheapest of 364
$1,046 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
Freestyle's own docs send sustained heavy CPU work elsewhere, and boat did about 2.8 times Freestyle's work on the CPU benchmark.
54th cheapest of 377
$424 a month
168th of 377, with limits
$625 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Freestyle fits a box that stays on all day better than Tensorlake, whose model is built around idle timeouts and suspend.
185th of 368, with limits
$250 a month
98th cheapest of 368
$151 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 ships an XFCE desktop over VNC with screenshot and click calls, boat streams a 60fps desktop, and on Freestyle you install the desktop yourself.
9th cheapest of 369
$294 a month
234th of 369, with limits
$940 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
257th of 367, with limits
$482 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
278th of 346, with limits
$482 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
183rd of 338, with limits
$6,560 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
Tensorlake and boat fit parallel red teaming fully; Freestyle is a compromise here, and boat adds raw TCP inbound and nested virtualization.
4th cheapest of 360
$250 a month
272nd of 360, with limits
$482 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

FeatureTensorlakeFreestyleboat
IsolationFirecracker and Cloud Hypervisor microVMs with their own kernel; GPU sandboxes use gVisorFull KVM VM with its own kernel on bare metal servers that Freestyle says it oversubscribesFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
CPU benchmark (4 vCPU / 8 GB)No published result9.64 runs/s26.69 runs/s
Nested virtualizationNo: sandboxes set SANDBOX_KVM_AVAILABLE=0Yes, full KVM supportYes, /dev/kvm inside, so Android emulators and VMs run
Docker and systemdYes, on the tensorlake/ubuntu-systemd imageYes; systemd is pid 1 and Docker runs from bootYes, with root and systemd
Memory pause and resumeNamed sandboxes suspend with memory and running processes and restore warmPause saves memory and disk; the same processes resume where they left offDisk saved every minute and on stop; resume boots the machine again
Fork a running sandboxCopy a running or suspended sandbox into N warm clones with memoryClone a running VM without pausing it; snapshots capture memory and diskFork a running sandbox with its disk
Idle handlingIdle timeout, 600 s by default, then suspend or terminateNo idle timeout unless you set one; a paused VM wakes on the next requestTime-to-live (1 h by default, changeable or off); a stopped sandbox costs nothing
Biggest machine16 vCPU / 64 GB on Pro, custom on Enterprise32 vCPU / 64 GiB on Pro, 64 / 128 with custom limits16 vCPU / 32 GB on the $100 plan and above
Desktop and computer useXFCE desktop with Firefox over VNC, with screenshot, mouse and keyboard callsGuides to install GNOME or Xvfb, VNC and Chromium yourself60fps desktop and Chromium, computer use and browser control, embeddable stream
Coding agentsYou bring your own; managed images are plain OS basesclaude, codex, opencode and openclaw preinstalled, driven through exec or a terminalClaude Code, Codex, OpenCode and more preinstalled, with a prompt, steer and events API
API keysStored secrets are injected into the sandboxCredentials injected at the edge for HTTPS headers, Postgres and S3; the VM must trust the Freestyle CACredentials proxy for model providers and any HTTPS API; real keys never enter the sandbox
Inbound trafficHTTP, WebSocket and gRPC through an authenticated proxyHTTPS on free style.dev names or your own domain, forward auth, other public protocolsHTTPS URLs for up to 50 ports, token-protected, plus raw TCP and a dedicated IP
Outbound rulesallow_out and deny_out lists by domain, IP or CIDR, or no internetDefault-deny firewall with allow rules by IP, VM, VPC or exact domainOpen internet, no provider-side allowlist; your own firewall as root
GPUs and where it runsGPU sandboxes by request; US and EU, or your own cloud through BYOCPrivate GPU sandboxes on Enterprise; regions not listed, docs name San Jose, USNo GPUs; EU only (Germany, Finland, France) with zero data retention
Every feature Battleships tracks (43)
FeatureTensorlakeFreestyleboat
Full VM (own kernel)YesYesYes
Docker insideYesYesYes
Nested virtualizationNoYesYes
RootYesYesYes
SystemdYesYesYes
Desktop GUIYesNoYes
BrowserYesNoYes
Computer-use APIYesNoYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesYesYes
Fork/cloneYesYesYes
Live fork (no pause)YesYesYes
Memory forkYesYesNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesYesNo
Wake on requestYesYesNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoYesYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsNoYesYes
Agent harness APINoNoYes
MCP serverNoNoNo
GPUYesYesNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingNoNoNo
BYOCYesNoNo
Open sourceNoNoNo
Scoped API keysNot publishedYesYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)NoNoYes
Audit logsNot publishedYesNo
SSOYesYesNo
SOC 2YesNot publishedNo
HIPAAYesNot publishedNo
EU data residencyYesNoYes
Zero data retentionYesNot publishedYes

Performance

TensorlakeNot measured
Freestyle9.64 runs/s
boat26.69 runs/s

On the hpc-sandbox-benchmarks Node.js build-and-test loop at 4 vCPU / 8 GB, boat did 26.69 runs per second and Freestyle did 9.64, so boat finished about 2.8 times as much CPU work in the same time. Tensorlake has no published result on this benchmark, so it cannot be compared on CPU speed. This test does not measure start time: Tensorlake says its default image starts in a few hundred milliseconds and Freestyle advertises about 65 ms.

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.

ScenarioTensorlake, a monthFreestyle, 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$27 · Free$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$250 · Pro$159 · Free$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$2,139 · Pro$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$581 · Pro$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$1,305 · Pro · with limits$2,000 · $2000/mo · with limits

Tensorlake: Tensorlake Pro is $250 per billing cycle, which includes 25,000 CU of usage, then $0.01 per CU. CPU is billed only while it is actively working, RAM and disk on what you allocate while running, and a suspended sandbox pays snapshot storage; small users can buy prepaid packs from $5 instead.

Freestyle: Freestyle bills per second for the vCPU, RAM and disk allocated to a VM, busy or idle, after monthly allowances of 200 vCPU-hours, 400 GiB-hours of RAM and 60,000 GiB-hours of storage. On Free those allowances are hard stops; Hobby and Pro set a $50 or $500 monthly minimum that counts as usage.

Freestyle: Plans start at $20 a month, and the whole fee becomes usage credit. Running time is billed per second, and a stopped sandbox costs nothing while its disk is kept.

Limits in those scenarios

For 1,000 short jobs at once, Tensorlake Pro fits because it allows 1,000 sandboxes at once, while Freestyle Pro caps at 400 concurrent VMs and boat queues starts above 90 a minute. Tensorlake's ephemeral sandboxes end after 10 idle minutes by default, and only named ones can suspend. Freestyle has no idle timeout by default, so a VM bills until you pause it, and on Free an agent that runs all month pauses once the allowances run out.

ScenarioTensorlakeFreestyleboat
One coding agent, workdaysNone that biteNone that biteNone that bite
One agent that never stopsNone that biteNone that biteNone that bite
50 agents in parallelNone that biteNone that biteNone that bite
Sandboxes for your usersNone that biteNone that biteNone that bite
1,000 short jobs at onceNone that bite
  • Pro: max 400 concurrent
  • shared vCPUs on this tier”): heavy, sustained CPU use can be slowed by other tenants
  • 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

you fan out about a thousand short rollouts at once from one warm state, want a desktop ready for computer use, or need GPUs, EU regions or sandboxes in your own cloud account.

  • Thousands of warm clones at once. For RL rollouts and evals, Tensorlake Pro runs 1,000 sandboxes at once and copies one warm state into many clones.
  • A desktop out of the box. For computer-use agents, Tensorlake ships an XFCE desktop with Firefox and calls for screenshots, mouse and keyboard.
  • GPUs, EU and your own cloud. Tensorlake offers GPU sandboxes by request, an EU endpoint, and can run in your own AWS, GCP, Azure or bare-metal account.

Use Freestyle when

your agents need nested virtualization, machines bigger than 16 vCPU, or VMs that sleep with their memory and wake on the next request behind a default-deny firewall.

  • Full VMs with nested virtualization. For agents that boot Android emulators or their own VMs, Freestyle exposes KVM, which Tensorlake does not.
  • Agents preinstalled and big machines. Freestyle ships claude, codex, opencode and openclaw on PATH, and Pro VMs go up to 32 vCPU / 64 GiB.
  • VMs that sleep and wake on traffic. For a VM per user, Freestyle pauses with memory, sets no idle timeout by default and wakes on the next request.

Where boat fits

If your agents do long work on one machine, like installs, builds, tests, Docker and a browser, look at boat. It gives each one a full VM with /dev/kvm on faster CPUs, a 60fps desktop, coding agents you drive from outside, and keys that never enter the machine. Tensorlake and Freestyle are ahead on memory snapshots and huge bursts of short jobs.

Emulators and fast builds in one machine

Tensorlake has no /dev/kvm, so Android emulators and VMs do not start. Freestyle has KVM, but did 9.64 runs/s on the CPU benchmark against boat's 26.69, so every build and test waits almost three times as long.

A desktop and agents you drive from outside

Freestyle makes you install a desktop, VNC and Chromium in your own snapshot. Tensorlake has a desktop but no agents, and on Freestyle you start the CLI through exec and parse its output yourself.

Keys outside and a reachable server

Tensorlake injects secrets into the sandbox the agent controls and only proxies HTTP, WebSocket and gRPC. Freestyle's edge injection needs the VM to trust its CA. boat's proxy covers any HTTPS API and adds raw TCP on its own IP.

Use boat when your agents do real work for hours: builds, tests, Docker, emulators, a desktop and a browser, on fast CPUs, with an API to drive the agents inside from outside and keys kept out of the machine. Compare it one to one: boat vs Tensorlake and boat vs Freestyle.

Questions people ask

Is Tensorlake cheaper than Freestyle?

It depends on the workload. One coding agent on workdays is $27 a month on Freestyle against $250 on Tensorlake Pro, but 50 agents in parallel is $1,030 on Tensorlake against $2,139 on Freestyle. On boat those two cost $20 and $317.

Which is faster, Tensorlake or Freestyle?

Freestyle did 9.64 runs per second on the hpc-sandbox-benchmarks CPU test at 4 vCPU / 8 GB, and Tensorlake has no published result, so there is no fair CPU comparison. boat did 26.69 on the same test. For start time, Tensorlake says a few hundred milliseconds and Freestyle advertises about 65 ms.

Can Tensorlake or Freestyle run Docker and Android emulators?

Both run Docker with systemd. Only Freestyle supports nested virtualization, so Android emulators and VMs run there but not on Tensorlake, whose sandboxes set SANDBOX_KVM_AVAILABLE=0. boat also exposes /dev/kvm.

Do both keep a sandbox's memory when it sleeps?

Yes. Tensorlake's named sandboxes suspend with memory and running processes, and Freestyle pauses a VM with memory and can wake it on the next request. boat keeps the disk through snapshots every minute and on stop, but a resume boots the machine again.

Which one fits computer-use agents?

Tensorlake ships an XFCE desktop with Firefox over VNC and calls for screenshots, mouse and keyboard. On Freestyle you follow guides to install a desktop, VNC and Chromium yourself. boat streams a 60fps desktop with Chromium and computer use built in.

Where do Tensorlake and Freestyle run?

Tensorlake runs in the US and the EU, and in your own cloud account through BYOC. Freestyle does not list regions, and its docs name a San Jose, US data center. boat runs only in the EU (Germany, Finland, France).

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