Tensorlake vs Northflank

Tensorlake is built around sandboxes that suspend when idle, keep their memory and copy into warm clones. Northflank runs sandboxes as one workload on a wider cloud platform with GPUs, many regions and your own cloud, but a pause keeps only attached volumes.

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

Northflank

Northflank is a London developer platform for running services, jobs and databases on Kubernetes, and Sandboxes is its product for running untrusted code.

A Northflank sandbox is a container image deployed as a service: CPU sandboxes run in Kata microVMs with their own kernel, and GPU sandboxes run under gVisor. You create and drive them from the JavaScript or Python SDK, the CLI or the dashboard, on Northflank's cloud or inside your own. It suits teams that already want one platform for apps, databases, GPUs and sandboxes.

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 rankNorthflank: 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, while on Northflank packages installed outside attached volumes reset on every pause; boat keeps the whole disk and adds /dev/kvm.
5th cheapest of 367
$1,010 a month
159th of 367, with limits
$1,477 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
173rd of 366, with limits
$1,365 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; Northflank's per-second plans start at a tenth of a vCPU, and Tensorlake can also restore warm from a memory snapshot.
24th cheapest of 345
$250 a month
84th of 345, with limits
$115 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
5th cheapest of 361
$471 a month
89th of 361, with limits
$815 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 1,000 sandboxes at once on Pro and warm clones from one state; Northflank does not publish how many can run at once.
Cheapest of 360
$5,637 a month
342nd of 360, with limits
$1,762 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
134th of 364, with limits
$689 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
Both run fresh build machines; boat's Ryzen 9 9950X hosts are the fastest measured on the CPU benchmark, and neither Tensorlake nor Northflank has a result.
54th cheapest of 377
$424 a month
38th cheapest of 377
$352 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Both are a compromise for a box that stays on all day: Tensorlake suspends idle sandboxes, and Northflank bills the full plan until paused, then keeps only volumes.
185th of 368, with limits
$250 a month
151st of 368, with limits
$59 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 has an XFCE desktop with Firefox over VNC for computer use, Northflank sandboxes are headless, and boat ships a 60fps desktop with Chromium.
9th cheapest of 369
$294 a month
151st of 369, with limits
$371 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
Tensorlake has a browser and desktop inside its sandboxes; on Northflank you install and run a browser in your own image.
13th cheapest of 367
$250 a month
200th of 367, with limits
$194 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
196th of 346, with limits
$117 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
83rd of 338, with limits
$2,049 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
141st of 360, with limits
$99 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
Northflank has GPU sandboxes from L4 to H100 and up billed per hour; Tensorlake offers GPUs only by request, and boat is CPU only.
Can't run it4th cheapest of 98
$693 a month
Can'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

FeatureTensorlakeNorthflankboat
IsolationFirecracker and Cloud Hypervisor microVMs with their own kernel; GPU sandboxes use gVisorKata microVM with its own kernel for CPU; gVisor for GPUFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
What survives a stopNamed sandboxes suspend with memory and running processes, billed as snapshot storageOnly attached volumes, which bill while paused; the rest of the disk and all processes resetThe whole disk, saved every minute and on stop; a stopped sandbox costs nothing
Idle handlingIdle timeout, 600 s by default, then suspend or terminateNo idle auto-pause: the plan bills until you pause itTime-to-live (1 h by default, changeable or off); no idle timer
Clone a running sandboxCopy a running or suspended sandbox into N warm clones with memoryFilesystem snapshots of a running or stopping sandbox, opt-in; restore into a new oneFork a running sandbox (disk)
Nested virtualizationNo: sandboxes set SANDBOX_KVM_AVAILABLE=0Not documented inside a sandboxYes, /dev/kvm inside, so Android emulators and VMs run
Docker insideYes, on the tensorlake/ubuntu-systemd imageYes, each sandbox has its own kernelYes, with root and systemd
Desktop and computer useXFCE desktop with Firefox over VNC, with screenshot, mouse and keyboard callsHeadless; access by SDK, browser terminal or SSH60fps desktop and Chromium, computer-use and browser control, embeddable stream
Coding agentsYou bring and run your own agent; managed images are plain OS basesHarnesses with Claude Code, Codex, Cursor, OpenCode or Pi; you reach the agent through a terminal or SSHSeven agents preinstalled, with a prompt, steer and events API
Keeping API keys out of the sandboxStored secrets are injected into the sandboxHeader injection for listed hosts in the network policy API; otherwise secrets are env vars or filesCredentials proxy for model providers and any HTTPS API; real keys never enter the sandbox
Inbound accessHTTP, WebSocket and gRPC through an authenticated proxy; no raw TCPHTTPS ports on a code.run domain, private by default; public TCP and UDP need a separate load balancerHTTPS URLs for up to 50 ports, token-protected, plus raw TCP and a dedicated IP per machine
Outbound rulesallow_out and deny_out lists by domain, IP or CIDR, or no internet at allNetwork policies with allow lists by IP, CIDR or domain, documented for your own clusterNo provider-side allowlist; you set your own firewall as root
GPUsGPU sandboxes by request (H100 shown in the docs)L4, A100, H100, RTX PRO 6000 and more, billed per hourNone
RegionsUS and EUUS, Canada, Brazil, UK, EU, Switzerland, Asia, Australia and South AfricaEU only: Germany, Finland, France
Your own cloudBYOC on AWS, GCP, Azure, CoreWeave, Nebius and bare metalYour own AWS, GCP, Azure, Oracle, CoreWeave and others, or the control plane in your VPC on EnterpriseNo
Every feature Battleships tracks (43)
FeatureTensorlakeNorthflankboat
Full VM (own kernel)YesYesYes
Docker insideYesYesYes
Nested virtualizationNoNoYes
RootYesNot publishedYes
SystemdYesNot publishedYes
Desktop GUIYesNoYes
BrowserYesNoYes
Computer-use APIYesNoYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesYesYes
Fork/cloneYesYesYes
Live fork (no pause)YesYesYes
Memory forkYesNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesNoNo
Wake on requestYesNoNo
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
Arm64NoYesNo
Self-hostingNoYesNo
BYOCYesYesNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)NoYesYes
Audit logsNot publishedYesNo
SSOYesYesNo
SOC 2YesYesNo
HIPAAYesYesNo
EU data residencyYesYesYes
Zero data retentionYesNot publishedYes

Performance

TensorlakeNot measured
NorthflankNot measured
boat26.69 runs/s

Neither Tensorlake nor Northflank has a result on the hpc-sandbox-benchmarks Node.js build-and-test loop, so there is no comparable CPU measurement between them. boat did 26.69 runs per second on that test at 4 vCPU / 8 GB, on dedicated AMD Ryzen 9 9950X hosts, the fastest result measured. 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 and Northflank 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 monthNorthflank, 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$32 · Developer Sandbox (free tier) · with limits$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$250 · Pro$108 · Developer Sandbox (free tier) · 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$1,322 · Developer Sandbox (free tier) · 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$361 · Developer Sandbox (free tier) · 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$688 · Developer Sandbox (free tier) · 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 it is actively working, RAM and disk on what you allocate while running, and a suspended sandbox pays snapshot storage.

Tensorlake: Small users can skip Pro and buy prepaid Usage Credits packs from $5 at higher rates; sandboxes stop when the balance hits zero. The tables price the Pro path, so they overstate very small workloads.

Northflank: Northflank bills per second for the plan size you pick, with no monthly fee, until you pause the sandbox; there is no idle auto-pause. Volumes cost $0.15 per GB a month even while paused, and outbound traffic costs $0.06 per GB.

Northflank: 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 whole disk is kept.

Limits in those scenarios

On Northflank the limit that bites in every scenario is what survives a stop: only attached volumes keep their files, so packages installed anywhere else reset. Northflank also does not publish how many sandboxes can run at once, so 300 or 1,000 at a time is not confirmed. Tensorlake fits all five scenarios on Pro, which allows 1,000 sandboxes at once, though its prepaid Usage Credits plan caps each sandbox at 4 vCPU / 16 GB and 24-hour sessions. boat's limit is the burst: even the $2,000 plan queues starts above 90 a minute.

ScenarioTensorlakeNorthflankboat
One coding agent, workdaysNone that bite
  • files survive a stop only in attached volumes: packages installed elsewhere reset
None that bite
One agent that never stopsNone that bite
  • files survive a stop only in attached volumes: packages installed elsewhere reset
None that bite
50 agents in parallelNone that bite
  • files survive a stop only in attached volumes: packages installed elsewhere reset
  • 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
  • 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
  • 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

you fan out many short rollouts or evals from one warm state, need agents to resume mid-process with their memory, or want idle sandboxes to suspend on their own.

  • Memory snapshots and warm clones. For agents that must pick up mid-process, Tensorlake saves a sandbox's memory and copies it into many warm clones.
  • Idle sandboxes go to sleep. Tensorlake suspends a named sandbox after 10 idle minutes by default, so a forgotten sandbox stops paying for compute.
  • Large fan-out with a published limit. Tensorlake Pro allows 1,000 sandboxes at once, which suits RL rollouts and evals that start many runs together.

Use Northflank when

you need GPUs next to the agent, regions outside Europe and the US, or sandboxes on the same platform as your apps, jobs and databases.

  • GPU sandboxes. For agents that train or run models, Northflank has GPU sandboxes from L4 and A100 up to H100, billed per hour.
  • Regions around the world. For users far from Europe and the US, Northflank also runs in Asia, Australia, South America and Africa.
  • One platform for apps and sandboxes. For teams that want services, jobs, databases and sandboxes in one place, billed per second with no monthly fee.

Where boat fits

If your agents do long work on one machine, installing packages, running Docker, emulators and a desktop, look at boat. It gives each agent a full VM that keeps its whole disk, with coding agents built in that you drive from outside, keys kept out of the machine, and HTTPS on 50 ports plus raw TCP. Tensorlake still wins on warm memory snapshots, and Northflank on GPUs and regions.

The whole disk comes back, and stops are free

On Northflank a pause wipes everything outside attached volumes, which still bill while paused. On Tensorlake a suspended sandbox pays snapshot storage, and an ephemeral one ends after 10 idle minutes. boat saves the whole disk every minute and on stop.

Emulators, VMs and a 60fps desktop inside

Tensorlake sandboxes set SANDBOX_KVM_AVAILABLE=0 and Northflank does not document /dev/kvm, so an Android emulator has nowhere to run. Northflank is headless and Tensorlake streams a VNC desktop; boat ships a 60fps desktop with Chromium.

Agents driven from outside, keys kept outside

On Tensorlake you install your own agent and its secrets are injected into the sandbox. Northflank Harnesses are reached through a terminal or SSH. boat preinstalls seven agents with a prompt, steer and events API, and a proxy keeps keys outside.

Use boat when your agents work on one machine for hours or days and should find it as they left it: installs, Docker, emulators and a desktop, with coding agents built in and keys kept outside the machine. Compare it one to one: boat vs Tensorlake and boat vs Northflank.

Questions people ask

Is Tensorlake cheaper than Northflank?

It depends on scale. Tensorlake Pro has a $250 monthly minimum, so one coding agent on workdays is $250 on Tensorlake against $32 on Northflank, though Northflank keeps only files on attached volumes. 50 agents in parallel is $1,030 on Tensorlake and $1,322 on Northflank, while 1,000 short jobs at once is $1,127 against $688.

Which is faster, Tensorlake or Northflank?

Neither has a result on the hpc-sandbox-benchmarks CPU test, so there is no fair speed comparison between them. boat did 26.69 runs per second on that test. Tensorlake's docs say its default image starts in a few hundred milliseconds.

Do Tensorlake and Northflank keep memory when a sandbox stops?

Tensorlake does: named sandboxes suspend with memory and running processes, and memory snapshots restore warm. Northflank keeps only attached volumes when paused, and the rest of the disk and all processes are lost. boat keeps the whole disk, but a resume boots the machine again.

Can Tensorlake and Northflank run Docker or Android emulators?

Both run Docker inside, Tensorlake on its ubuntu-systemd image. Neither offers nested virtualization: Tensorlake sets SANDBOX_KVM_AVAILABLE=0 and Northflank does not document it. boat exposes /dev/kvm, so Android emulators and VMs run inside.

Which one has GPUs?

Northflank has GPU sandboxes with L4, A100, H100, RTX PRO 6000 and more, billed per hour. Tensorlake offers GPU sandboxes by request, with no published rate. boat has no GPUs.

Where do Tensorlake and Northflank run?

Tensorlake runs in the US and the EU, or in your own cloud account through BYOC. Northflank runs in many regions from the US and Canada to Asia, Australia and South Africa, and also in your own cloud. boat runs only in the EU, in Germany, Finland and France.

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