Beam vs Unikraft Cloud

Beam is a serverless GPU platform whose sandboxes are gVisor containers billed per second. Unikraft Cloud turns a Dockerfile into a small Firecracker microVM that wakes in milliseconds, sleeps when idle and is sold as flat pools of running capacity.

The companies and products

Beam

Beam is a serverless cloud for GPU inference, sandboxes and background jobs, built on its open-source runtime Beta9.

Beam runs functions, REST endpoints, task queues, pods, sandboxes and VMs on CPUs and GPUs, all from a Python or TypeScript SDK. A sandbox is a container isolated with gVisor that starts in a second or two, lives until you terminate it or its time to live runs out, and can be saved as a filesystem image or a memory snapshot. Beam VMs are a separate CPU product: a microVM with its own kernel, systemd and a root disk that stays when it stops. Much of Beam is a GPU serverless platform for AI teams.

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. “8th cheapest of 345” means 7 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 workloadBeam: price rankUnikraft Cloud: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
A software factory needs Docker, systemd and /dev/kvm in each sandbox; Beam sandboxes have Docker but no systemd, Unikraft documents no container runtime inside, and boat gives all three.
69th of 367, with limits
$551 a month
Can't run it3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
115th of 366, with limits
$651 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
Beam fits short code runs well, starting in a second or two and billing per second, while Unikraft's largest self-serve plan holds only 24 running instances.
8th cheapest of 345
$117 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
Beam's Team plan runs up to 1,000 CPU containers at once, while Unikraft Pro holds only 24 running instances, so hundreds of active users need its Enterprise contract.
3rd cheapest of 361
$290 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
341st of 360, with limits
$939 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
Both Beam and boat fit agent evals on self-serve plans; Unikraft's shared pools are too small for a parallel eval run.
13th cheapest of 364
$251 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 or Android apps need a container runtime and /dev/kvm; Beam has Docker but no /dev/kvm, Unikraft keeps nested virtualization for Enterprise, and boat has both.
12th cheapest of 377
$171 a month
Can't run it4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
All three can keep one box all month; Beam is cheapest at $21 a month, while Unikraft has no SSH yet and its $39 Team pool is the smallest plan that fits.
13th cheapest of 368
$21 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
Computer-use agents need a desktop to see and click; neither Beam nor Unikraft has one, while boat streams a Linux desktop at 60fps with Chromium.
111th of 369, with limits
$237 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
195th of 367, with limits
$176 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
200th of 346, with limits
$131 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
42nd of 338, with limits
$923 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
175th of 360, with limits
$155 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
Beam offers GPUs from T4 to H100, H200 and B200 on self-serve plans; Unikraft keeps GPUs for Enterprise, and boat is CPU only.
Cheapest of 98
$458 a month
Can'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

FeatureBeamUnikraft Cloudboat
IsolationgVisor container for sandboxes; separate Beam VMs are CPU microVMs with their own kernelMinimal Linux microVM per instance on a customized Firecracker VMMFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Start timeSandboxes cold boot in 1 to 3 seconds, by Beam's own guideCold boots in milliseconds and wakes on the next request, by Unikraft's own figureBoots a full machine and starts again from its saved disk
Docker and systemd insideDocker inside sandboxes with docker_enabled; systemd only in Beam VMsThe Dockerfile becomes the VM image; no container runtime inside is documentedDocker, systemd and root, like a normal Ubuntu server
Nested virtualizationNot documentedYes, with a per-instance flag, Enterprise onlyYes, /dev/kvm for Android emulators and VMs on every plan
Shell accessRoot shell into a sandbox through beam shellNo SSH yet; commands and files go through the sandbox plugin and CLISSH into every sandbox, or drive it through the API
GPUsGPU sandboxes and serverless GPUs from T4 up to H100, H200 and B200NVIDIA GPUs and vGPUs on Enterprise onlyNo, CPU only
When idleA sandbox runs and bills until you terminate it or its time to live ends, 10 minutes by defaultGoes into standby after 1 second idle by default; sleeping instances do not count toward the poolDisk saved every minute and on stop; a stopped sandbox costs nothing
Snapshots and forkMemory snapshot of a running sandbox, restored into new sandboxesCheckpoint memory and volumes of a running microVM, then start new instances from itFork a running sandbox with its disk; disk snapshots every minute
Inbound accessPublic HTTPS URL per exposed port with no built-in auth; no raw TCP or dedicated IPServices on its load balancer: HTTP, HTTPS and TLS-wrapped TCP; no public IP per instanceHTTPS URLs for up to 50 ports, token-protected by default; raw TCP; dedicated IPv4 or IPv6
Outbound rulesBlock all outbound traffic, or allow up to 10 CIDR ranges, changeable while runningNetwork shield filters traffic, Enterprise only, limited accessOpen internet, no provider-side allowlist
Keeping API keys out of the sandboxSecrets are environment variables inside the sandboxNetwork shield can inject secrets into traffic, Enterprise only, limited accessCredentials proxy for model providers and any HTTPS API, on every plan
Desktop and browserNo desktop or browser productNone built in; you can run your own headless browser from a DockerfileLinux desktop streamed at 60fps with Chromium and computer use
Coding agentsNone preinstalled; you install and run them through process execNone preinstalled; you bring the agent in your own imageSeven agents preinstalled, with a prompt, steer and events API
RegionsUnited States onlyDallas, Frankfurt, San Francisco, Singapore and Washington DC, more on requestEU only (Germany, Finland, France)
Every feature Battleships tracks (43)
FeatureBeamUnikraft Cloudboat
Full VM (own kernel)NoYesYes
Docker insideYesNoYes
Nested virtualizationNoYesYes
RootYesYesYes
SystemdNoNot publishedYes
Desktop GUINoNoYes
BrowserNoNoYes
Computer-use APINoNoYes
SSHYesNoYes
Persistent diskYesYesYes
Pause/resumeNoYesYes
Automatic snapshotsNoYesYes
Fork/cloneYesYesYes
Live fork (no pause)YesYesYes
Memory forkYesYesNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopNoYesNo
Wake on requestNoYesNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoNot publishedYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsNoNoYes
Agent harness APINoNoYes
MCP serverYesNoNo
GPUYesYesNo
WindowsNoNoNo
Arm64NoYesNo
Self-hostingYesYesNo
BYOCYesYesNo
Open sourceYesNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)NoNoYes
Audit logsNot publishedYesNo
SSONoNoNo
SOC 2YesYesNo
HIPAAYesYesNo
EU data residencyNot publishedYesYes
Zero data retentionNot publishedNot publishedYes

Performance

BeamNot measured
Unikraft CloudNot measured
boat26.69 runs/s

There is no comparable CPU measurement for Beam or Unikraft Cloud: neither is in the StarSling hpc-sandbox-benchmarks run that measured boat at 26.69 runs per second at 4 vCPU / 8 GB. Beam's guide says its sandboxes cold boot in 1 to 3 seconds, and Unikraft states cold starts under 10 ms; both are their own figures and 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. Beam 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.

ScenarioBeam, 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
$5 · Developer$39 · Hobby$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$22 · Developer$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
$410 · TeamCan'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
$191 · TeamCan'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
$259 · TeamCan't run it$2,000 · $2000/mo · with limits

Beam: Beam bills sandboxes per second for each CPU core (two vCPU) and each GiB of RAM until you terminate them or their time to live ends, with no egress fees. Developer has no fee, and Team costs $89 a month plus usage, with no usage 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 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: Team has 8 vCPU and 8 GiB in total, so one 4 vCPU / 8 GB agent fills it, and 50 agents, user sandboxes or 1,000 short jobs fit no self-serve plan. Beam's Developer plan allows 30 CPU containers at once, so those three scenarios need its Team plan, and Beam publishes no disk price, so the scenarios count no disk cost for it. boat fits every scenario but the burst, where its $2,000 plan queues starts.

ScenarioBeamUnikraft Cloudboat
One coding agent, workdays
  • disk beyond 0 GiB: price unknown
  • 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 stops
  • disk beyond 0 GiB: price unknown
  • 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 parallel
  • disk beyond 0 GiB: price unknown
  • no pool tier with 200 vCPU / 400 GiB for 50 VMs
  • no published per-resource rate
None that bite
Sandboxes for your users
  • disk beyond 0 GiB: price unknown
  • 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 once
  • disk beyond 0 GiB: price unknown
  • 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 Beam when

your sandboxes need GPUs, when you want large fleets of short-lived sandboxes billed per second on a self-serve plan, or when you want to self-host its open-source runtime.

  • GPUs on self-serve plans. Teams whose sandboxes need a GPU can attach one on Beam, from T4 up to H100, H200 and B200, without a sales call.
  • Big fleets billed per second. Beam's Team plan runs up to 1,000 CPU containers at once, billed per second, so large parallel runs fit without an Enterprise deal.
  • Open source and outbound rules. Its Beta9 runtime is AGPL-3.0 and free to self-host, and any sandbox can be locked to up to 10 CIDR ranges.

Use Unikraft Cloud when

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

  • Millisecond starts and scale-to-zero. Best for many small services that sleep most of the time and must wake on the next request in milliseconds.
  • Regions in the US, EU and Asia. Unikraft runs in Dallas, Frankfurt, San Francisco, Singapore and Washington DC, where Beam lists only the United States.
  • A free plan with real VMs. The Hobby plan is free with no card and runs two microVMs, each with its own kernel instead of a shared one.

Where boat fits

Beam and Unikraft Cloud are both built for short, fast workloads: a container that lives for minutes, or a microVM that sleeps between requests. If what you are really running is coding agents that install, build and test over hours, boat gives each one a full machine with the agent, desktop and keys already set up.

A whole machine for the agent

A Beam sandbox has no systemd or /dev/kvm, and Beam VMs have no /dev/kvm either. Unikraft has no container runtime inside or SSH, and nested virtualization needs Enterprise. boat gives Docker, systemd, SSH and /dev/kvm on every plan.

Agents, desktop and keys built in

Neither ships a coding agent or a desktop, so you build the harness yourself. Beam keeps secrets as environment variables the agent can read, and Unikraft's secret injection is Enterprise only. boat keeps real keys in a credentials proxy outside the sandbox.

Hosting with access control

A Beam preview URL is public with no built-in auth, and neither Beam nor Unikraft gives an instance its own IP. boat serves HTTPS on up to 50 ports, token-protected by default, plus raw TCP and a dedicated IPv4 or IPv6.

Use boat when your agents need a real machine to work in for hours: Docker, systemd, emulators, a desktop and a browser, coding agents you drive from outside, and a disk that is still there next time. Compare it one to one: boat vs Beam and boat vs Unikraft Cloud.

Questions people ask

Is Beam cheaper than Unikraft Cloud?

In every scenario on this page, yes. One coding agent on workdays costs $5 on Beam against $39 on Unikraft's Team pool, and one that never stops costs $22 against $39. For 50 agents, sandboxes for your users or 1,000 short jobs, Beam's Team plan fits at $410, $191 and $259 a month, while no self-serve Unikraft plan is big enough.

Which is faster, Beam or Unikraft Cloud?

Neither has a comparable CPU measurement, so we cannot say which is faster at CPU work. For start time, Unikraft states cold starts under 10 ms and Beam says its sandboxes cold boot in 1 to 3 seconds; both are the providers' own figures.

Can I run Docker in Beam or Unikraft Cloud?

Beam supports Docker inside a sandbox with docker_enabled. Unikraft uses your Dockerfile to build the VM itself and does not document a container runtime inside a running instance. A boat sandbox runs Docker, systemd and /dev/kvm on every plan.

Which one has GPUs?

Beam offers GPU sandboxes and serverless GPUs on its self-serve plans, from T4 up to H100, H200 and B200. Unikraft offers NVIDIA GPUs only on Enterprise. boat is CPU only.

Is a Beam sandbox a VM like Unikraft Cloud?

Not by default. Beam sandboxes are containers using gVisor, and Beam sells separate CPU VMs with their own kernel. Every Unikraft instance is a Firecracker microVM, and every boat sandbox is a full VM with its own kernel and /dev/kvm.

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