Beam vs Islo

Beam is a serverless GPU platform whose sandboxes are fast gVisor containers, with separate CPU VMs on the side. Islo is built only for coding agents: each one gets a microVM with its own kernel, and a gateway controls and logs what it reaches.

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.

Islo

Islo is an agent sandbox from Incredibuild: each coding agent gets its own microVM, with network rules and credentials handled at a gateway.

An Islo sandbox is a Linux microVM with its own kernel, built from a container image, with Claude Code, Cursor CLI and Codex preinstalled. Outbound traffic can pass through a gateway that allows or blocks hosts, injects credentials and logs every request. It is built for teams that run coding agents, evals and RL rollouts in the background, on Islo's cloud or in their own cloud account.

Launched
May 4, 2026

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 rankIslo: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
69th of 367, with limits
$551 a month
326th of 367, with limits
$7,402 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Islo fits an always-on assistant well, since it can pause with its memory and wake on the next request; Beam sandboxes end with their time to live unless you set it to run forever.
115th of 366, with limits
$651 a month
30th cheapest of 366
$9,928 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
Beam fits short code runs well: sandboxes start in a second or two, bill per second and end on their own when the timer runs out, while Islo bills more for the same work.
8th cheapest of 345
$117 a month
153rd of 345, with limits
$503 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
Beam's Team plan allows 1,000 containers at once, so 300 sandboxes for your users fit, while Islo's Team plan is reported at 50 running sandboxes; boat fits too, with a full VM per user.
3rd cheapest of 361
$290 a month
171st of 361, with limits
$3,160 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
341st of 360, with limits
$939 a month
167th of 360, with limits
$15,265 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
Islo has a Harbor integration and gateway rules that stop trials from looking up answers; Beam and boat both run many more eval sandboxes at once.
13th cheapest of 364
$251 a month
198th of 364, with limits
$2,456 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 Docker for CI jobs, but neither documents /dev/kvm, so Android builds and VM image builds need boat.
12th cheapest of 377
$171 a month
119th cheapest of 377
$1,507 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
13th cheapest of 368
$21 a month
112th cheapest of 368
$402 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 Beam nor Islo has a desktop or a computer-use API; boat streams a 60fps desktop with Chromium that agents can see and click.
111th of 369, with limits
$237 a month
310th of 369, with limits
$2,210 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
195th of 367, with limits
$176 a month
113th of 367, with limits
$1,105 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
200th of 346, with limits
$131 a month
66th cheapest of 346
$748 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
42nd of 338, with limits
$923 a month
265th of 338, with limits
$14,966 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
Islo's per-host egress rules and request logs help keep red-team agents contained; boat runs many more of them at once on full VMs.
175th of 360, with limits
$155 a month
47th of 360, with limits
$746 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
Only Beam has GPUs here, from RTX 4090 to H100 and B200; Islo and boat are 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

FeatureBeamIsloboat
IsolationgVisor container by default for sandboxes; separate Beam VMs are CPU microVMs with their own kernelEvery sandbox is a microVM with its own kernelEvery sandbox is a full VM with its own kernel, on dedicated AMD Ryzen 9 9950X hosts
Docker and systemdDocker inside sandboxes with docker_enabled; systemd only in Beam VMsDocker inside and sudo; systemd not documentedDocker, systemd and root, like a normal Ubuntu server
Nested virtualizationNot documentedNo /dev/kvm or nested virtualization documentedYes, /dev/kvm for Android emulators and VMs
GPUsGPU sandboxes and serverless GPUs up to H100, H200 and B200No, CPU onlyNo, CPU only
Desktop and computer useNo desktop or browser productA browser inside the sandbox for testing; no desktop or computer-use API60fps desktop with Chromium, computer use and browser control, embeddable stream
Coding agentsNone preinstalled; you install and run them through process execClaude Code, Cursor CLI and Codex preinstalled; factory lines run agent steps on a schedule, webhook or GitHub, Slack and Linear eventsClaude Code, Codex and five other agents preinstalled, with a prompt, steer and events API
Keeping API keys out of the sandboxSecrets are environment variables inside the sandboxGateway injects stored credentials into outbound requests for any hostCredentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
Outbound rulesBlock all outbound traffic, or allow up to 10 CIDR ranges, changeable while runningGateway rules by host, path and HTTP method, default deny, rate limits, and a log of every requestOpen internet, no provider-side allowlist
Pause and snapshotsMemory snapshot of a running sandbox, restored into new sandboxesPause keeps files, processes and memory; can pause after idle time and wake on the next exec, file access or webhookDisk saved every minute and on stop; a stopped sandbox costs nothing; fork a running sandbox
Disk between runsA sandbox ends with its time to live unless you save an image or use a volume; a Beam VM keeps a 50 GiB root diskFiles kept while paused; snapshots of a sandbox's files start new onesDisk is saved every minute and on stop, and a stopped sandbox keeps it for free
Reaching the sandboxA public HTTPS URL per exposed port with no built-in auth; no raw TCP or dedicated IPHTTPS share links anyone with the URL can open, expiring after 24 hours by default; SSH and port-forward through the CLIHTTPS URLs for up to 50 ports, token-protected by default; raw TCP; dedicated IPv4 or IPv6
Sandboxes at onceDeveloper 30 CPU containers, Team 1,000, Growth by contactFree 5 and Team 50 running sandboxes per launch coverage; paused ones do not count100 to 2,000 running sandboxes by plan, raised by adding seats
Where it runsUS only; open-source Beta9 to self-host, or bring your own cloud for a feeUS West, or inside your own cloud account with BYOCEU only (Germany, Finland, France), with EU data residency
Every feature Battleships tracks (43)
FeatureBeamIsloboat
Full VM (own kernel)NoYesYes
Docker insideYesYesYes
Nested virtualizationNoNoYes
RootYesYesYes
SystemdNoNot publishedYes
Desktop GUINoNoYes
BrowserNoYesYes
Computer-use APINoNoYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeNoYesYes
Automatic snapshotsNoYesYes
Fork/cloneYesYesYes
Live fork (no pause)YesYesYes
Memory forkYesNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopNoYesNo
Wake on requestNoYesNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoNoYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsNoYesYes
Agent harness APINoYesYes
MCP serverYesNoNo
GPUYesNoNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingYesNoNo
BYOCYesYesNo
Open sourceYesNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)NoYesYes
Audit logsNot publishedYesNo
SSONoYesNo
SOC 2YesNot publishedNo
HIPAAYesNot publishedNo
EU data residencyNot publishedNoYes
Zero data retentionNot publishedNot publishedYes

Performance

BeamNot measured
IsloNot measured
boat26.69 runs/s

There is no comparable measurement for either: neither Beam nor Islo has a result on the StarSling hpc-sandbox-benchmarks CPU test, so we cannot say which is faster at CPU work. boat did 26.69 runs per second on that test at 4 vCPU / 8 GB. Beam's own guide says its sandboxes cold-boot in 1 to 3 seconds.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Beam and Islo 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 monthIslo, 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$101 · Free$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$22 · Developer$420 · 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
$410 · Team$4,863 · Team$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 · Team$1,382 · Team · 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
$259 · Team$3,053 · Team · with limits$2,000 · $2000/mo · with limits

Beam: Beam sandboxes bill per second for each CPU core (one core is two vCPU) and each GiB of RAM, until you terminate them or their time to live ends, so an idle tail is billed too. Developer has no fee; Team costs $89 a month plus usage, with no usage credit and no egress fees.

Islo: Islo bills each CPU core and each GB of memory and disk while a sandbox runs, billed per hour, with no plan fee and signup credits with no card. An idle sandbox keeps billing until a pause-after-idle timer fires, and egress has no published price.

Islo: Plans start at $20 a month, and the whole fee is usage credit spent per second on running sandboxes. A stopped sandbox costs nothing and keeps its disk.

Limits in those scenarios

Islo's Team plan is reported at 50 running sandboxes at once, so 300 sandboxes for your users and 1,000 short jobs at once do not fit it without a custom contract, while Beam's Team plan allows 1,000 containers and fits both. Beam's Developer plan allows 30 CPU containers, so 50 parallel agents need Team. Beam publishes no price for disk beyond what a VM includes and Islo publishes no egress price, so those are left out of the totals. boat's start limits queue the 1,000-job burst on its $2,000 plan.

ScenarioBeamIsloboat
One coding agent, workdays
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
One agent that never stops
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
50 agents in parallel
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
Sandboxes for your users
  • disk beyond 0 GiB: price unknown
  • Team: max 50 concurrent
  • egress price not published
None that bite
1,000 short jobs at once
  • disk beyond 0 GiB: price unknown
  • Team: max 50 concurrent
  • 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 Beam when

your agents or evals need GPUs, when you run large bursts of short jobs, or when you want to self-host the open-source runtime.

  • GPUs in the same platform. For agents or evals that need a GPU, Beam offers GPU sandboxes and serverless GPUs from RTX 4090 to H100 and B200.
  • Large bursts of short jobs. For many short runs at once, Beam's Team plan allows 1,000 containers that start in a second or two and bill per second.
  • Open source and self-hosting. For teams that must run it themselves, the Beta9 runtime is AGPL-3.0 and free to self-host.

Use Islo when

you want each coding agent in its own microVM with per-host egress rules, a log of every outbound call, keys injected at a gateway, and pause with memory.

  • A microVM for every agent. For agents running untrusted code, every Islo sandbox is a microVM with its own kernel, not a shared-kernel container.
  • Egress rules and request logs. For teams that must control what agents reach, Islo allows or blocks each host, path and method, and logs every call.
  • Keys and agents built in. For coding agents, Islo preinstalls Claude Code, Cursor CLI and Codex and injects credentials at a gateway, so keys never enter the sandbox.

Where boat fits

If what you are really running is coding or computer-use agents that work for hours, look at boat. Each sandbox is a full VM with /dev/kvm, systemd, a 60fps desktop and ports you can host on, things neither Beam nor Islo documents. boat also runs up to 2,000 sandboxes at once, with real keys kept outside in a credentials proxy.

A desktop agents can see and use

Neither Beam nor Islo has a screen or a computer-use API, so an agent that must check a UI or fill a form in a real app needs a VNC stack you build into each image. boat streams a 60fps desktop with Chromium.

Nested virtualization and systemd

Android emulators and tools that start their own VMs stop at boot without /dev/kvm, which neither Beam nor Islo documents. Beam sandboxes also have no systemd. Every boat sandbox has root, systemd, Docker and /dev/kvm.

Ports you can host on

Beam gives each port a public URL with no auth, and Islo share links are public and expire after 24 hours by default; neither offers raw TCP. boat serves 50 token-protected HTTPS ports, raw TCP and a dedicated IP.

Use boat when your agents do real work over hours: Docker, emulators with /dev/kvm, a desktop for computer use and ports you can host on, on a full VM in the EU. Compare it one to one: boat vs Beam and boat vs Islo.

Questions people ask

Is Beam cheaper than Islo?

Yes, in every scenario we priced. One agent running all month comes to $22 on Beam and $420 on Islo, and 50 agents in parallel come to $410 versus $4,863. boat lands at $26 and $317 for the same two.

Which is faster, Beam or Islo?

We cannot say for CPU work, since neither has a result on the StarSling CPU benchmark we use. Beam's guide says its sandboxes cold-boot in 1 to 3 seconds. boat did 26.69 runs per second on that benchmark at 4 vCPU / 8 GB.

Are Beam and Islo sandboxes VMs or containers?

Beam sandboxes are gVisor containers by default, and Beam sells separate CPU microVMs with their own kernel. Every Islo sandbox is a microVM with its own kernel. Every boat sandbox is a full VM with its own kernel and /dev/kvm.

Can Beam and Islo run Docker?

Yes. Beam supports Docker inside a sandbox with docker_enabled, and Islo runs Docker inside its microVMs. Neither documents /dev/kvm, which boat has for emulators and nested VMs.

Do Beam or Islo have a desktop for computer use?

No. Beam has no desktop or browser product, and Islo has a browser for testing but no screen or computer-use API. boat streams a 60fps desktop with Chromium and has a computer-use API on every sandbox.

Can I limit what an agent reaches on the internet?

On both. Beam can block all outbound traffic or allow up to 10 CIDR ranges, and Islo's gateway allows or denies by host, path and HTTP method and logs each request. boat has open internet with no provider-side allowlist.

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