Tensorlake vs Sprites

Both give each agent a Firecracker microVM with its own kernel. Tensorlake lets you pick the size, freeze memory and copy a running sandbox into warm clones, while Sprites gives every agent a fixed 8 vCPU machine that sleeps seconds after work stops and wakes 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

Sprites

Sprites is Fly.io's product for agents: persistent Linux computers you create by API or CLI, which sleep when idle and wake on the next request.

Each Sprite is a Firecracker microVM with 8 vCPU, memory the platform manages, and a 100 GB ext4 disk that syncs to object storage. It runs one managed Ubuntu image with Claude Code, Codex, Gemini CLI and Cursor preinstalled, gets an HTTPS URL that wakes it, and bills only for the CPU and memory it actually uses while awake. It is built for coding agents, dev environments and user code that sit idle most of the time.

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 rankSprites: price rankbochka: 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 with systemd and Docker, while Sprites is a compromise with no systemd and one public HTTP port; bochka adds /dev/kvm for emulators.
5th cheapest of 367
$1,010 a month
66th of 367, with limits
$546 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Tensorlake named sandboxes suspend with memory, while a Sprite drops open connections on every pause; bochka just keeps the machine running with no session cap.
9th cheapest of 366
$1,381 a month
157th of 366, with limits
$1,166 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: Sprites sleeps about 30 seconds after the last command and bills real CPU use, and Tensorlake boots in a few hundred milliseconds.
24th cheapest of 345
$250 a month
93rd of 345, with limits
$140 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
56th of 361, with limits
$428 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 1st here, built to fan out about a thousand rollouts from one warm state, which Sprites does not confirm and bochka's start-rate limits queue.
Cheapest of 360
$5,637 a month
105th of 360, with limits
$6,540 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
125th of 364, with limits
$545 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
54th cheapest of 377
$424 a month
63rd cheapest of 377
$476 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, since both are built around sleeping idle machines; bochka keeps it running with SSH and systemd.
185th of 368, with limits
$250 a month
213th of 368, with limits
$27 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, and Sprites is headless; bochka streams a 60fps desktop with Chromium.
9th cheapest of 369
$294 a month
85th of 369, with limits
$136 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 gives a browser agent a desktop to work in, while on Sprites you install and run a headless browser yourself.
13th cheapest of 367
$250 a month
171st of 367, with limits
$122 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
229th of 346, with limits
$206 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
141st of 338, with limits
$4,113 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 with outbound rules by domain, IP or CIDR; bochka adds raw TCP inbound and nested virtualization.
4th cheapest of 360
$250 a month
210th of 360, with limits
$223 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

FeatureTensorlakeSpritesbochka
IsolationFirecracker and Cloud Hypervisor microVMs with their own kernel; GPU sandboxes use gVisorFirecracker microVM with its own kernelFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Machine sizeYou set CPU, memory and disk at creation; up to 16 vCPU, 64 GB RAM and 100 GB disk on ProFixed 8 vCPU and 100 GB disk; memory managed and scaled by the platformYou choose; up to 16 vCPU / 32 GB on the $100 plan and above
Inside the machineRoot and Docker on the tensorlake/ubuntu-systemd image; no /dev/kvmRoot and Docker (with rough edges users report); no systemd, and no /dev/kvm in the docsRoot, Docker, systemd and /dev/kvm, so Android emulators and VMs run
Memory on pauseMemory snapshots and suspend keep running processes and restore warmPauses with memory and wakes in 100 to 500 ms, or 1 to 2 s after a cold stopNo: disk is kept, resume boots the machine again
Clone or forkCopy a running or suspended sandbox into N warm clones with memoryNo fork; checkpoints restore in placeFork a running sandbox with its disk into a new one
Idle behaviorIdle timeout, 600 s by default, then suspend (named) or terminate (ephemeral)Pauses about 30 seconds after activity stops and wakes on the next requestRuns until you stop it or its time to live ends; a stopped sandbox costs nothing
Desktop and browserXFCE desktop with Firefox over VNC, with screenshot, mouse and keyboard callsHeadless; no desktop or browser product60fps desktop and Chromium, computer use and browser control, embeddable stream
Coding agentsYou bring and run your own agent; managed images are plain OS basesClaude Code, Codex, Gemini CLI and Cursor preinstalled, run through exec or a consoleSeven agents preinstalled, with a prompt, steer and events API to drive them from outside
API keysStored secrets are injected into the sandboxConnectors gateway holds the token for GitHub, OpenRouter, Slack or any HTTP API, with path allow and block listsCredentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
Inbound trafficHTTP, WebSocket and gRPC through an authenticated proxy on exposed portsOne HTTPS URL to one HTTP port; other ports and SSH only through the sprite proxy CLIHTTPS URLs for up to 50 ports, token-protected, plus raw TCP, a dedicated IP and SSH
Outbound rulesallow_out and deny_out lists by domain, IP or CIDR, or no internet at allOptional DNS-based domain allowlist set from outside; private IPs always blockedNo provider-side allowlist; you set your own firewall as root
GPUsGPU sandboxes by request (H100 shown in the docs)NoneNone
IntegrationsAPI and SDKs, plus versioned file systems, hosted Git and an orchestration layerRemote MCP server, agent plugins, and backends for Claude Managed Agents and Cursor Cloud AgentsREST API, CLI and SDKs
Where it runsUS and EU, or your own cloud account through BYOCRegion not selectableEU only (Germany, Finland, France), with EU data residency
Every feature Battleships tracks (43)
FeatureTensorlakeSpritesbochka
Full VM (own kernel)YesYesYes
Docker insideYesYesYes
Nested virtualizationNoNoYes
RootYesYesYes
SystemdYesNoYes
Desktop GUIYesNoYes
BrowserYesNoYes
Computer-use APIYesNoYes
SSHYesNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesYesYes
Fork/cloneYesNoYes
Live fork (no pause)YesNoYes
Memory forkYesNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesYesNo
Wake on requestYesYesNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoNoYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsNoYesYes
Agent harness APINoNoYes
MCP serverNoYesNo
GPUYesNoNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingNoNoNo
BYOCYesNoNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)NoNoYes
Audit logsNot publishedNot publishedNo
SSOYesYesNo
SOC 2YesYesNo
HIPAAYesYesNo
EU data residencyYesNoYes
Zero data retentionYesNot publishedYes

Performance

TensorlakeNot measured
SpritesNot measured
bochka26.69 runs/s

Neither Tensorlake nor Sprites has a result on the hpc-sandbox-benchmarks test we use, so there is no CPU comparison between the two. bochka did 26.69 runs per second on the Node.js build-and-test loop at 4 vCPU / 8 GB, on dedicated AMD Ryzen 9 9950X hosts. Tensorlake's docs say its default image starts in a few hundred milliseconds, and Sprites says a warm wake takes 100 to 500 ms.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Tensorlake and Sprites 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 monthSprites, a monthbochka, 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$23 · Pay-as-you-go$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$250 · Pro$92 · Pay-as-you-go$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$1,120 · Pay-as-you-go$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$314 · Pay-as-you-go · 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$1,134 · Pay-as-you-go · with limits$2,000 · $2000/mo · with limits

Tensorlake: Pro is $250 per billing cycle, which includes 25,000 CU ($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 prepaid Usage Credits packs from $5 suit very small workloads.

Sprites: Sprites bills CPU time at $0.0385 per CPU-hour and actual memory at $0.021875 per GB-hour, only while the Sprite is awake, plus storage on the bytes you write. Optional plans such as Hero at $100 a month buy fixed allowances, not credit.

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

Limits in those scenarios

Tensorlake's Pro plan allows 1,000 sandboxes at once, so 300 sandboxes for your users and 1,000 short jobs at once both fit. Sprites does not publish how many Sprites can run at once on pay as you go, so those two scenarios are not confirmed, and creation is 10 a minute without a plan. On Tensorlake an ephemeral sandbox ends after 10 idle minutes by default, and a Sprite drops open connections on every pause unless a task holds it awake, for up to an hour at a time. bochka has no session cap on paid plans, but even its $2,000 plan queues starts above 90 a minute, so 1,000 short jobs at once does not fit.

ScenarioTensorlakeSpritesbochka
One coding agent, workdaysNone that biteNone that biteNone that bite
One agent that never stopsNone that biteNone that biteNone that bite
50 agents in parallelNone that bite
  • 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 runs from one warm state, need to pick the machine size or add GPUs, or want sandboxes in the US or your own cloud account.

  • Memory snapshots and warm clones. Useful when many runs must start from one prepared state: Tensorlake copies a running sandbox into warm clones with memory.
  • Pick the size, add GPUs. Tensorlake lets you set CPU, memory and disk per sandbox and offers GPU sandboxes by request, where a Sprite is always 8 vCPU.
  • Your cloud, your region. Tensorlake runs in the US or the EU, or inside your own AWS, GCP, Azure, CoreWeave, Nebius or bare-metal account.

Use Sprites when

your agents or apps sit idle most of the day and should wake on a request, with coding agents preinstalled and tokens kept in Connectors.

  • Sleeps when idle, wakes on request. Useful for agents and apps that sit idle most of the day: a Sprite stops billing compute and wakes on the next request.
  • Agents preinstalled, keys held outside. Sprites ships Claude Code, Codex, Gemini CLI and Cursor, and its Connectors keep API tokens out of the machine.
  • Plugs into agent platforms. Teams on Claude Managed Agents or Cursor Cloud Agents can use Sprites as the machine behind them, next to the rest of Fly.io.

Where bochka fits

Tensorlake and Sprites are both built around machines that sleep when idle. If your agents do long, hands-on work, such as builds, emulators, a desktop and services others connect to, look at bochka: a full VM on a dedicated Ryzen 9 host that stays on, with coding agents you drive from outside and keys kept outside the machine.

Run emulators and VMs inside

Neither Tensorlake nor Sprites gives a sandbox /dev/kvm, so an Android emulator or a nested VM does not start, and Sprites has no systemd either. bochka runs Docker, systemd and /dev/kvm in every sandbox.

Reach it like a server

Tensorlake's proxy carries only HTTP, WebSocket and gRPC, and a Sprite has one public HTTP port, with everything else tunneled through a CLI on your machine. bochka gives up to 50 HTTPS ports, raw TCP, SSH and its own IP.

Drive agents inside from outside, with a screen

On Tensorlake you install the agent yourself and secrets go into the sandbox; Sprites is headless and runs agents through exec. bochka preinstalls seven agents with a prompt, steer and events API, a 60fps desktop and a credentials proxy.

Use bochka when your agents do real work for hours: systemd, Docker, emulators, many ports, a desktop and browser, forks, and an API to drive the agents inside from outside. Compare it one to one: bochka vs Tensorlake and bochka vs Sprites.

Questions people ask

Is Tensorlake cheaper than Sprites?

For one agent it is not: one coding agent on workdays is $250 a month on Tensorlake Pro and $23 on Sprites, and one that never stops is $250 against $92. For 50 agents in parallel Tensorlake is $1,030 against $1,120 on Sprites, and bochka is $317 a month.

Which is faster, Tensorlake or Sprites?

Neither has a result on the CPU benchmark we use, so we cannot say. Both start quickly: Tensorlake in a few hundred milliseconds, and a Sprite wakes in 100 to 500 ms. bochka did 26.69 runs per second on that benchmark.

Can Tensorlake and Sprites run Docker?

Both run Docker inside. Tensorlake also offers an image with systemd, while Sprites does not run systemd and users report that docker exec fails for containers whose main process is not root. Neither exposes /dev/kvm; bochka runs Docker, systemd and /dev/kvm.

Do Tensorlake and Sprites keep memory when idle?

Yes, both can. Tensorlake named sandboxes suspend with memory and running processes, and can be copied into warm clones. A Sprite pauses about 30 seconds after work stops and wakes with its processes still in memory, but open connections drop.

Which one has GPUs or a desktop?

Tensorlake offers GPU sandboxes by request and an XFCE desktop with Firefox for computer use. Sprites has neither. bochka has no GPUs but streams a 60fps desktop with Chromium.

Where do Tensorlake and Sprites run?

Tensorlake runs in the US and the EU, or in your own cloud account through BYOC. Sprites does not let you choose a region. bochka runs only in the EU, in Germany, Finland and France.

Try bochka

Install the CLI, then run bochka new.

Product preview

More comparisons

Bochka product preview · Pricing, benchmarks and commands are illustrative. Sandbox provisioning is not connected.