Hyperstack vs Baseten

Hyperstack is a GPU cloud: you rent full virtual machines, with or without Nvidia GPUs, and run whatever you like on them. Baseten is an inference cloud: you hand it a model or a Docker image, and it runs it as containers that scale with traffic, down to zero when idle.

The companies and products

Hyperstack

Hyperstack is the GPU cloud of NexGen Cloud, a UK company founded in 2020: you rent GPU and CPU virtual machines, Kubernetes clusters and storage by the minute.

A Hyperstack VM is a full virtual machine with root and SSH, booted from an Ubuntu image (with or without Docker) and sized from a fixed list of flavors, from one RTX A4000 to 8-GPU B300 nodes, plus CPU-only flavors from 4 to 32 vCPUs. It also runs managed Kubernetes, volumes, object storage and an AI Studio inference API. It is built for teams that train, fine-tune and serve models, not as a sandbox API for agents, so this page compares the parts that overlap: VMs as machines for agent work.

Baseten

Baseten is an inference cloud: it runs AI models on GPUs for production apps, and sells hosted open models and training.

You package a model with Truss, its open-source format, or bring a Docker image, and Baseten runs it as replicas on Kubernetes that scale up with traffic and down to zero. It also sells Model APIs (open models priced per token) and training jobs on the same GPUs. Sandboxes, isolated environments where an agent runs commands and works with files, are in private preview; this page compares bochka with both the CPU instances and the sandbox preview.

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. “122nd cheapest of 377” means 121 of the other 376 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 workloadHyperstack: price rankBaseten: price rankbochka: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
A coding agent needs root, Docker and a disk that stays; Hyperstack has the first two but bills a stopped VM in full, and Baseten's containers have neither root nor a kept disk.
343rd of 367, with limits
$11,458 a month
216th of 367, with limits
$2,619 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
An assistant that lives for months needs a kept disk: Hyperstack keeps it but bills a stopped VM in full, and Baseten's preview sandboxes are deleted after 7 days by default.
337th of 366, with limits
$12,775 a month
242nd of 366, with limits
$3,258 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
No one fits short code bursts cleanly here: Hyperstack bills by the minute with no idle stop, and each Baseten burst also pays for cold start and, by default, 15 idle minutes.
172nd of 345, with limits
$1,167 a month
319th of 345, with limits
$1,856 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
Hyperstack does not publish how many VMs can run at once, and Baseten's sandbox preview allows 10 per organization by default, so 300 user sandboxes is not confirmed on either.
173rd of 361, with limits
$4,207 a month
277th of 361, with limits
$1,868 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
173rd of 360, with limits
$17,500 a month
322nd of 360, with limits
$31,140 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
204th of 364, with limits
$3,250 a month
297th of 364, with limits
$1,609 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
Hyperstack fits CI on full VMs with root and Docker images; Baseten's containers run as a non-root user with no documented Docker inside, and bochka gives root and Docker on every VM.
122nd cheapest of 377
$1,560 a month
320th of 377, with limits
$1,119 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Hyperstack fits a 24/7 dev box because its VM keeps its whole disk, while Baseten's CPU instances lose their files when they stop; bochka keeps the disk and charges nothing while stopped.
115th cheapest of 368
$475 a month
170th of 368, with limits
$130 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 graphical desktop: Hyperstack gives SSH and text console logs, Baseten runs commands and file operations, and bochka streams a 60fps desktop with Chromium and computer use.
332nd of 369, with limits
$3,250 a month
294th of 369, with limits
$1,799 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
335th of 367, with limits
$1,750 a month
318th of 367, with limits
$1,194 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
327th of 346, with limits
$1,750 a month
220th of 346, with limits
$183 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
310th of 338, with limits
$35,000 a month
126th of 338, with limits
$3,654 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
309th of 360, with limits
$876 a month
254th of 360, with limits
$381 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
Both fit, and here Hyperstack ranks 2nd: it rents whole GPU VMs by the minute, while Baseten bills GPU instances per minute including image builds and cold starts; bochka has no GPUs.
2nd cheapest of 98
$625 a month
24th cheapest of 98
$1,625 a month
Can'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

FeatureHyperstackBasetenbochka
Kind of productGPU cloud: GPU and CPU VMs, managed Kubernetes, volumes, object storageInference cloud for serving and training models; agent sandboxes in private previewSandboxes for AI agents: VMs with agents, desktop and hosting ready
IsolationFull VMs with root, on flavors mapped 1:1 to physical resourcesKubernetes containers in a dedicated namespace per customer; sandbox isolation is not documentedEvery sandbox is a full VM with its own kernel
Root and DockerRoot and SSH; Ubuntu 22.04 and 24.04 images with or without DockerContainers run as the non-root app user; Docker inside is not documentedDocker, Docker Compose, root, systemd and /dev/kvm on every machine
Files after a stopThe whole disk stays; a SHUTOFF VM bills at the full rate, a hibernated one bills only disk and a kept IPReplicas start fresh from the image; preview sandboxes keep files on standby but are deleted after 7 days by defaultA stopped sandbox costs nothing and keeps its whole disk
SnapshotsOn request only, with the VM shut off, one at a time, up to 100 GBNo snapshots of model replicasThe disk is snapshotted every minute and on stop, while the sandbox keeps running
ForkNo fork; you snapshot, make a custom image and deploy a new VMNo fork or clone; new replicas cold-start from the imageFork a running sandbox into a new one with the same disk
Scale to zero and wake on requestVMs never stop on their own when idleDeployments scale to zero and start on the next request; standby sandboxes resume on the next requestNo wake on request; you start a stopped sandbox through the API
GPUsNvidia RTX A4000 up to H100, H200, B200 and B300, on demand, spot or reserved, up to 8-GPU nodesNvidia T4 up to B200 and RTX PRO 6000, 1 to 8 per instance, multi-nodeNone
Desktop and computer useSSH and text console logs; no graphical desktopNo desktop or computer-use API60fps desktop and Chromium, computer use and browser control, embeddable stream
Coding agentsA hosted MCP server lets your own agent manage Hyperstack; nothing runs an agent inside a VMBaseten Switch points Claude Code or Codex on your laptop at its Model APIsClaude Code, Codex, OpenCode and more preinstalled, with a prompt, steer and events API
Reaching the machineA public IPv4 you can keep static; you open ports with firewall rules and run your own TLSAn HTTPS API endpoint per deployment; sandbox ports through a /port/ route on its API serverHTTPS URLs for up to 50 ports, token-protected; raw TCP; dedicated IPv6 or IPv4
Network rulesPer-VM firewall: inbound closed by default, outbound rules by IP, protocol and portOutbound on TCP 443 and 80 by default; IP and domain allowlists once enabled for your organizationOpen internet out; inbound through HTTPS URLs and TCP ports
Keeping keys out of the machineNo credentials proxy; keys go in with cloud-init, files or environment variablesSecrets are passed into the model as arguments or files under /secretsAI credentials proxy for model providers and any HTTPS API you register
RegionsNorway, Canada and the USUS and EU for GPU deployments; self-hosted in your own AWS, GCP or OCI account on EnterpriseEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureHyperstackBasetenbochka
Full VM (own kernel)YesNoYes
Docker insideYesNoYes
Nested virtualizationNot publishedNoYes
RootYesNot publishedYes
SystemdNot publishedNot publishedYes
Desktop GUINoNoYes
BrowserNoNoYes
Computer-use APINoNoYes
SSHYesYesYes
Persistent diskYesNoYes
Pause/resumeYesNoYes
Automatic snapshotsNoNoYes
Fork/cloneNoNoYes
Live fork (no pause)NoNoYes
Memory forkNoNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopNoYesNo
Wake on requestNoYesNo
HTTPS preview URLsNoYesYes
Raw TCP inboundNoNot publishedYes
Public IPv4YesNoNo
Egress allowlistYesYesNo
Secret proxyNoNoYes
Secret proxy for any APINoNoYes
Preinstalled agentsNoNoYes
Agent harness APINoNoYes
MCP serverYesYesNo
GPUYesYesNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingNoYesNo
BYOCNoYesNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedNoYes
Usage per sandbox (API)NoYesYes
Audit logsNot publishedNot publishedNo
SSONoYesNo
SOC 2YesYesNo
HIPAANoYesNo
EU data residencyYesYesYes
Zero data retentionNot publishedNot publishedYes

Performance

HyperstackNot measured
BasetenNot measured
bochka26.69 runs/s

There is no comparable CPU measurement for Hyperstack or Baseten: neither is in the public StarSling sandbox benchmark run we use. bochka did 26.69 Node.js build-and-test runs per second at 4 vCPU / 8 GB in that run of 2026-09-29, on dedicated AMD Ryzen 9 9950X (Zen 5) hosts.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Hyperstack and Baseten 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.

ScenarioHyperstack, a monthBaseten, 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
$114 · Prepaid on-demand$34 · Basic · with limits$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$475 · Prepaid on-demand$136 · Basic · with limits$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
$5,720 · Prepaid on-demand$1,701 · Basic · with limits$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
$1,750 · Prepaid on-demand · with limits$1,246 · Basic · 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
$3,500 · Prepaid on-demand · with limits$6,228 · Basic · with limits$2,000 · $2000/mo · with limits

Hyperstack: Hyperstack bills a running VM per minute from a prepaid balance, at a fixed hourly price per flavor, with no charge for bandwidth. The closest CPU flavor in the scenarios is 8 vCPU / 8 GB at $0.65 an hour, and a stopped VM keeps billing in full unless you hibernate it.

Baseten: Baseten bills per minute, partial minutes rounded up, from image build and cold start until the replica stops; a 4 vCPU / 16 GiB CPU instance is $0.00346 a minute. There is no plan fee on Basic, and sandbox pricing for the private preview is not published.

Baseten: You pick a monthly plan from $20, and all of it becomes usage credit spent per second on running sandboxes. A stopped sandbox costs nothing and keeps its whole disk.

Limits in those scenarios

Hyperstack does not publish how many VMs can run at once, so 300 user sandboxes and 1,000 short jobs at once are not confirmed there; its API allows 500 requests a minute per IP. Baseten's CPU instances have no persistent disk, so files are lost when a replica stops and the table marks them as not fitting; its preview sandboxes run at most 10 per organization by default. A Baseten monthly budget only sends alerts for dedicated deployments, and a Hyperstack VM never stops on its own, so both keep billing until you act. On bochka the 1,000-job burst is queued and needs more starts per day than the $2,000 plan allows.

ScenarioHyperstackBasetenbochka
One coding agent, workdaysNone that bite
  • adjacent product, not a like-for-like sandbox
  • missing persistent disk
  • different kind of product: app platform
  • no persistent disk: files lost when it stops or sleeps
None that bite
One agent that never stopsNone that bite
  • adjacent product, not a like-for-like sandbox
  • missing persistent disk
  • different kind of product: app platform
  • no persistent disk: files lost when it stops or sleeps
None that bite
50 agents in parallel
  • how many machines can run at once: limit not published, probably fine at 50 (the typical published limit is 50)
  • adjacent product, not a like-for-like sandbox
  • missing persistent disk, Docker inside
  • different kind of product: app platform
  • no persistent disk: files lost when it stops or sleeps
None that bite
Sandboxes for your users
  • not confirmed: how many machines can run at once (you need 300; the typical published limit is 50)
  • adjacent product, not a like-for-like sandbox
  • different kind of product: app platform
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
1,000 short jobs at once
  • not confirmed: how many machines can run at once (you need 1,000; the typical published limit is 50)
  • adjacent product, not a like-for-like sandbox
  • different kind of product: app platform
  • disk beyond 0 GiB: price unknown
  • 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 Hyperstack when

you want plain GPU or CPU VMs with root and a kept disk, for training, fine-tuning or long jobs, in Norway, Canada or the US.

  • A plain VM you fully control. Useful if you want a normal machine: Hyperstack gives full VMs with root, SSH, Docker images and a disk that stays.
  • GPUs by the minute, up to 8-GPU nodes. Useful for training and fine-tuning: Hyperstack rents Nvidia GPUs up to 8-GPU B300 nodes, with spot and reserved prices too.
  • Canada, firewalls and Kubernetes. Useful if you need a region in Canada, outbound rules by IP and port, or managed Kubernetes clusters.

Use Baseten when

you serve models in production and want deployments that scale to zero, hosted open models per token, or Baseten running in your own cloud.

  • Scale to zero, wake on request. Useful for spiky traffic: Baseten deployments scale to zero when idle and start again on the next request.
  • Model serving and hosted models. Useful if you ship a model: package it with Truss or a Docker image, or call hosted open models priced per token.
  • Run it in your own cloud. Useful if your data must stay in your account: on Enterprise, Baseten can run in your own AWS, GCP or OCI account.

Where bochka fits

Hyperstack and Baseten are both built for GPU work: training, fine-tuning and serving models. If what you are really running is agents that write and run code for hours, neither gives each agent a ready machine. bochka does, and it pairs well with either one for the GPU part.

A full VM whose disk is saved every minute

Baseten's containers run as a non-root user and lose their files when they stop. Hyperstack VMs have root, but snapshots are taken by hand with the VM shut off, and a stopped VM bills in full unless you hibernate it.

Coding agents, a desktop and computer use built in

Neither has a desktop: Hyperstack gives SSH and a text console, Baseten runs commands and file operations. On both you install the agent, a browser and a screen stream yourself, then write the code that prompts and watches it.

Fork a running machine, keep keys off it

To copy a set-up machine on Hyperstack you shut it off, snapshot it, make an image and deploy a new VM; Baseten replicas cold-start from the image. Both pass keys onto the machine, where bochka's credentials proxy keeps them outside.

Use bochka when your agents write and run code: full VMs with root and Docker, a disk saved every minute and free stops, forks of a running sandbox, and coding agents and a desktop built in. Compare it one to one: bochka vs Hyperstack and bochka vs Baseten.

Questions people ask

Is Hyperstack cheaper than Baseten?

For CPU work Baseten looks lower in our scenarios: one agent running all month is $136 on Baseten and $475 on Hyperstack, but Baseten's instances lose their files when they stop, so they do not fit. For GPU eval jobs Hyperstack comes to $625 a month against $1,625 on Baseten. The same always-on agent is $26 a month on bochka.

Which is faster, Hyperstack or Baseten?

There is no comparable CPU measurement for either one, so we cannot say. bochka did 26.69 Node.js build-and-test runs per second at 4 vCPU / 8 GB in StarSling's public benchmark run.

Can I run Docker on Hyperstack or Baseten?

On Hyperstack, yes: VMs are full machines with root, and its Ubuntu images come with or without Docker. Baseten runs your Docker image as a model server, but its containers run as a non-root user and Docker inside is not documented. bochka sandboxes come with Docker, Docker Compose, systemd and /dev/kvm.

Do idle machines cost money?

On Hyperstack a stopped (SHUTOFF) VM bills at the full rate; a hibernated one bills only its disk and a kept IP, and restoring it needs the flavor in stock. Baseten deployments can scale to zero, but by default a replica stays billed for 15 idle minutes, and cold starts are billed. A stopped bochka sandbox costs nothing and keeps its disk.

Does Baseten have sandboxes for AI agents?

Yes, in private preview: you ask Baseten for access, and an organization can run up to 10 at once by default. They go on standby when idle and are deleted with their files after 7 days by default. Hyperstack has no sandbox product; you use its VMs.

Does bochka have GPUs like Hyperstack and Baseten?

No. bochka runs Linux VMs on dedicated AMD Ryzen 9 9950X hosts and has no GPUs. Run training or model serving on Hyperstack or Baseten, and let your agents work on bochka.

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.