smol machines vs Unikraft Cloud

Both run each workload in its own small Linux VM. smol machines bills the CPU and memory you actually use and lets you run the same open-source engine on your own servers, while Unikraft Cloud sells a flat pool of running capacity whose microVMs sleep when idle and wake in milliseconds.

The companies and products

smol machines

smol machines makes fast, isolated Linux microVMs that run the same way on your laptop, in their hosted cloud, or on your own servers.

The core is smolvm, an open-source microVM engine built on libkrun, where each machine has its own guest kernel. smol cloud is the paid hosted service that runs fleets of those machines behind a REST API and Node, Python and Rust SDKs. It is built for developers who want one VM model from local development to production, with live branching of running machines.

Unikraft Cloud

Unikraft Cloud is a microVM cloud from Unikraft Inc. that runs any Dockerfile-based workload as a minimal Linux microVM with millisecond cold starts and scale-to-zero.

Your Dockerfile becomes the VM image at build time, and each instance runs on a heavily customized Firecracker VMM, so it boots in milliseconds and can go into standby when no traffic arrives. It is a general compute platform built for dense, bursty work such as HTTP services, headless browsers and agent fleets, sold as flat self-serve plans plus Enterprise dedicated hosts, on-prem and bring your own cloud. It is not a dev machine you log into: instances are reached through services, the CLI and a sandbox plugin for commands and files.

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. “12th cheapest of 345” means 11 of the other 344 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 workloadsmol machines: price rankUnikraft Cloud: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
smol machines runs Docker inside the VM and Unikraft documents no container runtime inside its instances; boat adds /dev/kvm, SSH and coding agents you drive from outside.
73rd of 367, with limits
$604 a month
Can't run it3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
148th of 366, with limits
$1,038 a month
Can't run it5th cheapest of 366
$657 a month
Code interpreter bursts
100 at once · 1 vCPU / 2 GB · 200,000 sessions of 1 min a month
smol machines fits short code runs well with a one-minute minimum and a /code endpoint, while Unikraft's self-serve pools hold at most 24 running instances.
12th cheapest of 345
$140 a month
Can't run it186th 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
smol machines fits on its Startup plan; Unikraft's Pro pool holds 5,000 sleeping instances but only 24 running ones, so hundreds of active users need Enterprise.
7th cheapest of 361
$531 a month
Can't run itCheapest of 361
$209 a month
RL rollouts
1,000 at once · 2 vCPU / 4 GB · 1,000,000 sessions of 3 min a month
smol machines can branch a running machine with its memory and processes, so many rollouts start from one prepared state.
111th of 360, with limits
$6,978 a month
Can't run it34th 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
36th cheapest of 364
$670 a month
Can't run it10th cheapest of 364
$200 a month
CI runners
40 at once · 8 vCPU / 16 GB · 6,000 sessions of 12 min a month
CI jobs that build Docker images fit smol machines, but neither exposes nested virtualization on self-serve plans; boat has /dev/kvm on every plan.
66th cheapest of 377
$514 a month
Can't run it4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Both can keep a box all month, but neither has SSH, so you work through their command APIs; boat gives you SSH into every sandbox.
216th of 368, with limits
$29 a month
219th of 368, with limits
$39 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
Neither has a hosted desktop, so you build your own inside the VM; boat streams a Linux desktop at 60fps with computer use built in.
90th of 369, with limits
$156 a month
Can't run it6th cheapest of 369
$200 a month
Browser-use agents
50 at once · 2 vCPU / 4 GB · 30,000 sessions of 10 min a month
Both let you run your own headless Chromium inside a VM; boat ships Chromium on a desktop ready for agents.
176th of 367, with limits
$136 a month
Can't run it7th 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
241st of 346, with limits
$242 a month
Can't run it6th 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
148th of 338, with limits
$4,344 a month
Can't run it71st 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
252nd of 360, with limits
$377 a month
Can't run it2nd 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

Featuresmol machinesUnikraft Cloudboat
Isolationlibkrun microVM with its own guest kernelMinimal Linux microVM on a customized Firecracker VMMFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Machine sizeUp to 8 vCPU / 16 GB on Standard, 16 vCPU / 24 GB on Pro, 32 vCPU / 32 GB on StartupA plan pool shared by all running instances: 2 vCPU / 4 GiB, 8 vCPU / 8 GiB or 24 vCPU / 32 GiB4 vCPU / 8 GB by default, up to 16 vCPU / 32 GB per sandbox on the $100 plan and above
Running at once20 on Standard, 100 on Pro, 1,000 on Startup; stopped machines still hold a slot2, 8 or 24 running instances on self-serve plans; more needs Enterprise100 to 2,000 sandboxes at once on paid plans, no session cap
Docker insideYes, with Docker data on the machine's ext4 diskThe Dockerfile becomes the VM image; no container runtime inside documentedYes, Docker, systemd and root, like any Ubuntu machine
Nested virtualizationNot exposed in the cloud API; a local smolvm flag onlyPer-instance flag, Enterprise onlyYes, /dev/kvm for Android emulators and VMs on every plan
Shell accessCommand API and a WebSocket terminal capped at one hour per connection; no SSHSandbox plugin and CLI for commands and files; no SSH yetSSH, plus a command API and terminal
Sleep and wakeA command or terminal starts a stopped machine; idle apps wake on the next requestStandby after a 1 second idle cooldown; traffic wakes it in milliseconds, with memory kept in stateful modeDisk saved every minute and on stop; a stopped sandbox costs nothing and is started by API
Fork and checkpointsBranch a running machine with its memory and processes; checkpoints capture RAM to a fileCheckpoint memory and volumes of a running microVM, then start new instances from it; forking is in previewFork a running sandbox with its disk; snapshots every minute
Inbound accessUp to 16 published ports through a returned URL; no dedicated IPLoad balancer services: HTTP on 80, HTTPS on 443, TLS-wrapped TCP on other ports; no public IP per instanceHTTPS URLs for up to 50 ports, token-protected by default; raw TCP; dedicated IPv4 or IPv6
Outbound rulesBlocked, open, or an allowlist of hosts and CIDR rangesNetwork shield filters traffic, Enterprise only, limited accessOpen internet, no provider-side allowlist
Keeping API keys out of the sandboxCloud secrets are environment variables the guest can readNetwork shield can inject secrets into traffic, Enterprise onlyCredentials proxy for model providers and any HTTPS API on every plan; switch a credential to another account when credits run out
Desktop, browser and coding agentsNo hosted desktop; registry images with the Codex CLI and HarborNone built in; you bring your own browser and agent in the imageLinux desktop at 60fps, Chromium, computer use, and seven coding agents with a prompt, steer and events API
RegionsNo region choice in the cloud APIDallas, Frankfurt, San Francisco, Singapore and Washington DC, more on requestEU only (Germany, Finland, France), with EU data residency
Self-hostingOpen-source smolvm runs on your laptop or your own serversDedicated hosts, on-prem or your own cloud on EnterpriseNo
Every feature Battleships tracks (43)
Featuresmol machinesUnikraft Cloudboat
Full VM (own kernel)YesYesYes
Docker insideYesNoYes
Nested virtualizationNoYesYes
RootNot publishedYesYes
SystemdNot publishedNot publishedYes
Desktop GUINoNoYes
BrowserNoNoYes
Computer-use APINoNoYes
SSHNoNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsNoYesYes
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 inboundNot publishedNot publishedYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsYesNoYes
Agent harness APINoNoYes
MCP serverYesNoNo
GPUNoYesNo
WindowsNoNoNo
Arm64YesYesNo
Self-hostingYesYesNo
BYOCYesYesNo
Open sourceYesNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsYesNot publishedYes
Usage per sandbox (API)YesNoYes
Audit logsNot publishedYesNo
SSOYesNoNo
SOC 2NoYesNo
HIPAANoYesNo
EU data residencyNoYesYes
Zero data retentionNot publishedNot publishedYes

Performance

smol machinesNot measured
Unikraft CloudNot measured
boat26.69 runs/s

There is no comparable CPU measurement for smol machines or Unikraft Cloud: neither has been run on the StarSling hpc-sandbox-benchmarks test. boat did 26.69 runs per second on that Node.js build-and-test loop at 4 vCPU / 8 GB. smol publishes a boot under 200ms and Unikraft cold starts under 10 ms, which are start times, 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. smol machines and Unikraft 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.

Scenariosmol machines, a monthUnikraft 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
$25 · Standard$39 · Hobby$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$93 · Standard$39 · Hobby$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
$1,139 · ProCan't run it$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
$465 · StartupCan't run it$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
$1,389 · StartupCan't run it$2,000 · $2000/mo · with limits

smol machines: smol cloud charges a base fee for every hour a machine runs plus the CPU and memory the guest uses, with a one-minute minimum and disk billed while stopped. Pro and Startup are monthly fees on top of usage, not credit.

Unikraft Cloud: Unikraft charges a flat monthly fee for a pool of running capacity: free for 2 vCPU / 4 GiB, $39 for 8 vCPU / 8 GiB, $199 for 24 vCPU / 32 GiB, with sleeping instances not counted. It publishes no per-hour or egress rate, so anything bigger is an Enterprise quote.

Unikraft Cloud: Plans start at $20 a month, and the whole fee is usage credit. You pay per second while a sandbox runs, and a stopped sandbox costs nothing and keeps its disk.

Limits in those scenarios

Unikraft's limits are pools every running instance shares: one 4 vCPU / 8 GB agent fills the Team pool, so 50 agents, sandboxes for your users and 1,000 short jobs at once fit no self-serve plan. smol machines fits all five scenarios, but 50 agents need Pro and 1,000 jobs at once need Startup, whose fees sit on top of usage. boat fits four, and at 1,000 short jobs at once its $2,000 plan queues starts above 90 a minute.

Scenariosmol machinesUnikraft Cloudboat
One coding agent, workdaysNone that bite
  • flat pool: the tier is billed whether used or not
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
One agent that never stopsNone that bite
  • flat pool: the tier is billed whether used or not
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
50 agents in parallelNone that bite
  • no pool tier with 200 vCPU / 400 GiB for 50 VMs
  • no published per-resource rate
None that bite
Sandboxes for your usersNone that bite
  • no pool tier with 600 vCPU / 1,200 GiB for 300 VMs
  • no published per-resource rate
None that bite
1,000 short jobs at onceNone that bite
  • no pool tier with 2,000 vCPU / 4,000 GiB for 1,000 VMs
  • no published per-resource rate
  • 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 smol machines when

you want one open-source VM engine from your laptop to your own servers, pay only for what guests use, or branch running machines with their memory.

  • Open source, from laptop to your servers. Teams that want one VM engine locally, in a hosted cloud and on their own servers get it with open-source smolvm.
  • Pay for what the guest uses. smol bills the CPU and memory a machine actually uses, and self-serve plans scale to 1,000 machines and 32 vCPU each.
  • Live branches and outbound allowlists. Useful for RL and locked-down agents: branch a running machine with its memory, and allow only listed hosts on any plan.

Use Unikraft Cloud when

you run small services or headless browsers that sleep most of the time and must wake in milliseconds, or need US and Asia regions.

  • Millisecond wake from standby. Best for many small services that sleep most of the time and must answer the next request in milliseconds.
  • A flat fee for an always-on box. One small service running all month fits a fixed Team pool fee, with no usage meter to watch.
  • Regions in the US and Asia. Unikraft runs in Dallas, San Francisco, Washington DC and Singapore as well as Frankfurt, with more metros on request.

Where boat fits

smol machines and Unikraft Cloud are both built around small, fast microVMs you reach through an API. If what you are running is coding agents that need a whole machine, with Docker, emulators, SSH, a desktop and keys kept out of reach, boat gives each one that machine on every plan.

A whole machine with /dev/kvm and SSH

Neither has SSH, smol cloud does not expose nested virtualization, and Unikraft keeps it for Enterprise. An agent that runs an Android emulator or a VM has no way to start one on either self-serve plan.

Keys that never enter the sandbox

smol cloud secrets are environment variables the guest can read, and Unikraft's secret injection is Enterprise only. So one prompt injection can leak real keys; boat's credentials proxy keeps them outside for any HTTPS API.

A desktop and agents ready to drive

Neither ships a desktop or a computer-use stack, so you build and maintain your own. boat streams a 60fps Linux desktop with Chromium and lets you drive seven preinstalled coding agents inside from outside.

Use boat when your agents need a whole machine to work in: Docker, emulators, SSH, a desktop and a browser, coding agents you drive from outside, and keys that never enter the sandbox. Compare it one to one: boat vs smol machines and boat vs Unikraft Cloud.

Questions people ask

Is smol machines cheaper than Unikraft Cloud?

For one coding agent on workdays, smol machines is $25 a month against $39 for Unikraft's Team pool. For one agent that never stops, Unikraft's flat $39 a month beats smol's $93 a month. For 50 agents, user sandboxes or 1,000 short jobs, only smol machines has a self-serve price.

Which is faster?

Neither has a CPU score on the benchmark used here, so there is no fair speed comparison. On start time, Unikraft claims cold starts under 10 ms and smol claims boots under 200ms; both are vendor figures.

Can smol machines or Unikraft Cloud run Docker?

smol machines runs Docker inside the VM, with Docker data on the machine's ext4 disk. Unikraft builds your Dockerfile into the VM image and documents no container runtime inside a running instance. boat runs Docker, systemd and /dev/kvm in every sandbox.

Can I SSH into smol machines or Unikraft Cloud?

Not today. smol cloud gives you a command API and a WebSocket terminal, and Unikraft gives you a sandbox plugin and CLI. boat gives you SSH into every sandbox.

Can I self-host either one?

smolvm, the engine behind smol machines, is open source and runs on your laptop or servers. Unikraft offers dedicated hosts, on-prem and your own cloud on Enterprise, and its CLI is open source. boat is a hosted service only.

Is boat SOC 2 compliant?

SOC 2 is in progress. We're open about where we stand: live status at status.ascii.dev and our data retention policy at docs.boat.dev/data-retention.

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