Tensorlake vs Morph Cloud

Both can freeze a running sandbox with its memory and copy it into warm clones. Tensorlake runs microVMs built for big fan-outs, with GPUs, US and EU regions and your own cloud, while Morph Cloud runs full VMs with experimental nested virtualization that pause and wake on the next request.

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

Morph Cloud

Morph Cloud sells full virtual machines for AI agents that can be snapshotted, branched and restored with their memory, which it calls Infinibranch.

You get MorphVM instances as low-level building blocks and Devboxes as ready workspaces on top of them, with SSH, preview URLs and a tmux API for running coding agents you install yourself. Everything is billed in MCUs, where one MCU is 1 vCPU, 4 GB of RAM or 16 GB of disk for an hour. It is built for teams that fan agents out from one saved state, and it also sells managed GitHub Actions runners and a shared filesystem.

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 rankMorph Cloud: 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 (rank 5) while Morph is a compromise here; boat ranks 3 and adds nested virtualization and preinstalled coding agents.
5th cheapest of 367
$1,010 a month
198th of 367, with limits
$2,288 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
235th of 366, with limits
$3,014 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 suit short code runs, and Morph ranks a little higher (16 vs 24) because a paused VM costs almost nothing and wakes on the next request.
24th cheapest of 345
$250 a month
16th cheapest of 345
$154 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
Both create a sandbox per user through an API; boat ranks first and gives each one HTTPS on up to 50 ports and raw TCP.
5th cheapest of 361
$471 a month
12th cheapest of 361
$905 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 ranks first for RL rollouts, since it is built to fan out about a thousand sandboxes at once from one warm state.
Cheapest of 360
$5,637 a month
86th of 360, with limits
$4,847 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
38th cheapest of 364
$675 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
Morph ranks a little higher for CI and also sells managed GitHub Actions runners; boat ranks 4 on fast Ryzen 9 9950X hosts.
54th cheapest of 377
$424 a month
39th cheapest of 377
$355 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Morph fits a box that stays on all day better than Tensorlake, whose model is built around suspending idle sandboxes; boat ranks 18.
185th of 368, with limits
$250 a month
85th cheapest of 368
$116 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 with screenshot, mouse and keyboard calls, while on Morph you install the browser and agent yourself; boat ships a 60fps desktop with Chromium.
9th cheapest of 369
$294 a month
182nd of 369, with limits
$595 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
214th of 367, with limits
$250 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
239th of 346, with limits
$234 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
154th of 338, with limits
$4,750 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 fits parallel red teaming (rank 4) far better than Morph; boat ranks 2 and adds raw TCP inbound and /dev/kvm.
4th cheapest of 360
$250 a month
214th of 360, with limits
$228 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

FeatureTensorlakeMorph Cloudboat
IsolationFirecracker and Cloud Hypervisor microVMs with their own kernel; GPU sandboxes use gVisorFull VM with its own kernelFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Nested virtualizationNo: sandboxes set SANDBOX_KVM_AVAILABLE=0ExperimentalYes, /dev/kvm inside, so Android emulators and VMs run
Docker insideYes, on the tensorlake/ubuntu-systemd imageYes, including Docker in Docker and local KubernetesYes, with root and systemd
Pause with memoryYes: named sandboxes suspend with memory and running processes and restore warmYes: resume brings back all processes and memory, and a paused VM bills only its snapshotNo: disk is kept, resume boots the machine again
Clone a running sandboxCopy a running or suspended sandbox into N warm clones with memoryBranch a running VM with its memory into many copies in under 250 msFork a running sandbox with its disk
Idle handlingIdle timeout, 600 s by default, then suspend or terminateNo built-in idle timer; you set a TTL to pause, and a paused VM wakes on the next HTTP request, SSH or exec callTime-to-live (1 h by default, changeable or off); no idle timer
Desktop and computer useXFCE desktop with Firefox over VNC, with screenshot, mouse and keyboard callsBrowser-based remote desktop; you install the browser and any computer use agent yourself60fps desktop with Chromium, computer use and browser control, embeddable stream
Coding agentsYou bring and run your own agent; managed images are plain OS basesYou install the agent, then drive it through a tmux API that sends keys and reads the screenClaude Code, Codex, OpenCode and more preinstalled, with a prompt, steer and events API
API keysStored secrets are injected into the sandboxResponses Proxy for model APIs; other secrets are handed to the machineCredentials proxy for model providers and any HTTPS API: real keys never enter the sandbox
Inbound trafficHTTP, WebSocket and gRPC through an authenticated proxy on exposed portsNamed HTTP services with optional API key auth; SSH through Morph's gateway; no raw TCPHTTPS URLs for up to 50 ports, token-protected, plus raw TCP and a dedicated IP per machine
GPUsGPU sandboxes by request (H100 shown in the docs)NoneNone
Guest systemsLinuxLinux, with experimental Windows and macOS (x86)Linux
Where it runsUS and EU, or your own cloud account through BYOCRegions not publishedEU only: Germany, Finland, France, with zero data retention
Managed CI runnersGitHub Actions runner pricing is not on the sandbox rate cardGitHub Actions runners in three sizes, billed from the same MCU balanceNo; run your own runner inside a sandbox
Every feature Battleships tracks (43)
FeatureTensorlakeMorph Cloudboat
Full VM (own kernel)YesYesYes
Docker insideYesYesYes
Nested virtualizationNoYesYes
RootYesYesYes
SystemdYesYesYes
Desktop GUIYesYesYes
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 inboundNoNoYes
Public IPv4NoNoNo
Egress allowlistYesNoNo
Secret proxyNoYesYes
Secret proxy for any APINoNoYes
Preinstalled agentsNoNoYes
Agent harness APINoYesYes
MCP serverNoNoNo
GPUYesNoNo
WindowsNoYesNo
Arm64NoNoNo
Self-hostingNoNoNo
BYOCYesNoNo
Open sourceNoNoNo
Scoped API keysNot publishedYesYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)NoYesYes
Audit logsNot publishedYesNo
SSOYesNot publishedNo
SOC 2YesNot publishedNo
HIPAAYesNot publishedNo
EU data residencyYesNot publishedYes
Zero data retentionYesNot publishedYes

Performance

TensorlakeNot measured
Morph CloudNot measured
boat26.69 runs/s

Neither Tensorlake nor Morph Cloud is in the hpc-sandbox-benchmarks run, so there is no comparable CPU measurement between them. boat scores 26.69 runs/s on that Node.js build-and-test loop at 4 vCPU / 8 GB, on dedicated AMD Ryzen 9 9950X hosts. Tensorlake says its default image starts in a few hundred milliseconds and Morph says it restores a snapshot in under 250 ms, which measure start time, not CPU speed.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Tensorlake and Morph Cloud 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 monthMorph Cloud, 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$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$250 · Pro$121 · Team$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$1,459 · Scale$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$325 · Scale$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$869 · Scale$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 the sandbox runs, and smaller users can buy prepaid packs from $5 instead.

Morph Cloud: Morph bills MCUs at $0.05 an hour: the largest of a machine's vCPUs, its RAM in 4 GiB steps or its disk in 16 GiB steps. Team ($40 a month) and Scale ($250 a month) are prepaid MCU bundles at a discount, and a paused VM bills only its snapshot.

Limits in those scenarios

Tensorlake's $250 Pro minimum makes small workloads look expensive: one coding agent on workdays is $250 there and $32 on Morph, though Tensorlake's prepaid packs can cost less. Morph prices each machine by its largest resource, so our 50 GB disk is beyond its 16 GiB allowance and egress prices are not published, and its Developer pool of 64 vCPU holds only 16 machines at 4 vCPU. At 50 agents in parallel Tensorlake is $1,030 against Morph's $1,459, and both fit 1,000 short jobs at once, which boat's start-rate limits queue.

ScenarioTensorlakeMorph Cloudboat
One coding agent, workdaysNone that bite
  • disk beyond 16 GiB: price unknown
  • egress price not published
None that bite
One agent that never stopsNone that bite
  • disk beyond 16 GiB: price unknown
  • egress price not published
None that bite
50 agents in parallelNone that bite
  • disk beyond 16 GiB: price unknown
  • egress price not published
None that bite
Sandboxes for your usersNone that bite
  • egress price not published
None that bite
1,000 short jobs at onceNone that bite
  • egress price not published
  • 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 rollouts or evals from one warm state, or need GPUs, outbound rules, US regions or sandboxes in your own cloud account.

  • Big fan-outs from one warm state. For RL rollouts and evals, Tensorlake Pro allows 1,000 sandboxes at once and copies one warm sandbox into many 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 published regions. Tensorlake can allow or deny outbound traffic by domain, IP or CIDR, and it runs in both the US and the EU.

Use Morph Cloud when

you want full VMs that branch with their memory and sleep until the next request, or need experimental nested virtualization, Windows or macOS guests.

  • Full VMs that wake on request. Useful for agents that sleep between requests: a paused Morph VM keeps its memory, bills only its snapshot and wakes on the next call.
  • Windows, macOS and nested virtualization. Morph is a full VM and lists experimental nested virtualization plus Windows and macOS (x86) guests, which Tensorlake does not offer.
  • Managed CI runners and a shared filesystem. Morph also sells managed GitHub Actions runners and a filesystem many machines can mount at once.

Where boat fits

Tensorlake and Morph Cloud both shine at freezing a machine with its memory and copying it, and boat does not do that. If your agents instead work for hours on one machine, installing, building, running Docker and emulators, using a desktop or calling paid APIs, boat gives them more out of the box. It is also the cheaper of the three in four of the five scenarios we price.

Emulators and VMs run inside

Tensorlake sandboxes have no /dev/kvm, so an Android emulator or a VM will not start, and Morph lists nested virtualization as experimental. boat gives every sandbox /dev/kvm on a full VM.

Coding agents built in, keys kept outside

On both you install the agent yourself; Morph drives it by sending keystrokes to tmux. Tensorlake injects secrets into the sandbox, and Morph's proxy covers only model APIs, so other keys sit where a prompt injection can read them.

A desktop and ports you can reach

Morph has you build the browser and computer use loop yourself, and Tensorlake's desktop is Firefox over VNC. Neither carries raw TCP inbound. boat streams a 60fps desktop with Chromium and serves HTTPS on 50 ports plus raw TCP.

Use boat when your agents do long, real work on one machine: builds, 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 Morph Cloud.

Questions people ask

Is Tensorlake cheaper than Morph Cloud?

It depends on scale. Morph is cheaper for one agent ($32 vs $250 on workdays, $121 vs $250 always on) and for 1,000 short jobs ($869 vs $1,127), while Tensorlake is cheaper for 50 agents in parallel ($1,030 vs $1,459) and sandboxes for your users ($293 vs $325). boat is $20, $26, $317 and $200 in those scenarios but does not fit 1,000 short jobs at once.

Which is faster, Tensorlake or Morph Cloud?

Neither has a result on the hpc-sandbox-benchmarks CPU test, so there is no fair speed comparison. Both claim fast starts: a few hundred milliseconds for Tensorlake's default image and under 250 ms for a Morph snapshot restore. boat scores 26.69 runs/s on that benchmark, the fastest result measured.

Can Tensorlake and Morph Cloud run Docker?

Yes. Tensorlake runs Docker on its tensorlake/ubuntu-systemd image, and Morph runs Docker in Docker and local Kubernetes. For nested virtualization, Tensorlake has none and Morph lists it as experimental, while boat exposes /dev/kvm.

Do both keep a sandbox's memory?

Yes. Tensorlake suspends named sandboxes with their memory and copies them into warm clones, and Morph pauses and branches a running VM with its memory and wakes it on the next request. boat keeps the disk but boots the machine again on resume.

Which one has computer use?

Tensorlake has an XFCE desktop with Firefox over VNC and screenshot, mouse and keyboard calls. Morph has browser-based remote access, but you install the browser and any computer use agent yourself. boat ships a 60fps desktop with Chromium and a computer use API.

Which one has GPUs?

Tensorlake offers GPU sandboxes by request, running on gVisor. Morph Cloud and boat have no GPUs.

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