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Launched 2020 · Verified Oct 16, 2026

dstack

Verified Oct 16, 2026 Active
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Open-source control plane that provisions and schedules GPU jobs across clouds, Kubernetes and on-prem.

gpu orchestrationmlopsopen sourceFreemium

Listed on EffectHub ·

Web · API · Linux · macOS
Screenshot of the dstack website
#1207
dstack.ai as we captured it — our own screenshot, not the vendor’s press image.

Pricing

Pricing model
Freemium

The open-source control plane is free under MPL 2.0. dstack Sky bills GPU time by the hour, with per-GPU price ranges shown on the site (for example H100 on-demand $2.89–12.74 per GPU-hour); dstack Factory has no public price and goes through a booked demo.

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Overview

About dstack

dstack is a control plane for GPU work. You declare fleets, dev environments, training tasks, inference services and volumes in YAML, and it handles provisioning, queuing, autoscaling and networking across whatever compute you point it at: cloud GPU providers, Kubernetes, VMs or bare-metal racks, on NVIDIA, AMD, TPU and Tenstorrent hardware. The core is open source under the Mozilla Public License 2.0 and free to self-host. dstack Inc. also runs dstack Sky, a hosted account that rents GPUs from several cloud partners under one bill, and sells dstack Factory, a self-hosted multi-tenant edition with usage metering and billing for AI labs and data centres.

Platforms
Web · API · Linux · macOS
API
Yes
Last verified
Oct 16, 2026

Verified sources

  • dstack Sky page: GPU capacity from several cloud partners under one billing, per-GPU-hour ranges such as H100 80GB on-demand $2.89–12.74 and spot $1.09–8.94 (15 October 2026)dstack.ai ↗
  • Site products menu: dstack (open source, self-hosted), dstack Factory (multi-tenant stack for AI labs and data centres, 'Book a demo') and dstack Sky (15 October 2026)dstack.ai ↗
  • GitHub repository dstackai/dstack under MPL-2.0, release 0.22.4 published 15 October 2026 (15 October 2026)github.com ↗
Fact check

Is dstack legit?

We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.

Domain registered
Nov 18, 2019 (6 years ago)Registry record (RDAP), registrar GoDaddy.com, LLC, looked up Sep 16, 2026
TLS certificate
Issued by Let's Encrypt, valid until Nov 22, 2026Seen in our own connection to the site on Oct 16, 2026
Last checked
Oct 16, 2026The site answered
On the market since
2020The vendor's own material, read by us
Operated by
dstack Inc.Our research, card verified Oct 15, 2026

How we collect these records

Editorial verdict

Pros & cons of dstack

high confidence

dstack's pitch is not owning GPUs but not caring whose they are, so the same config runs against a cloud marketplace, your Kubernetes cluster or a rack in the office. The MPL licence means you can run the whole control plane yourself and never speak to the vendor. It is a developer tool through and through: config files and a CLI rather than a dashboard-first experience, with hosted GPU time on Sky billed by the hour and the multi-tenant Factory edition priced only through sales.

Pros

  • Open source under MPL 2.0 and fully self-hostable at no cost
  • Runs against cloud GPUs, Kubernetes and on-prem clusters from the same configs
  • Supports NVIDIA, AMD, TPU and Tenstorrent rather than CUDA only
  • Handles queuing, autoscaling and networking, not just container launches

Cons

  • dstack Factory, the multi-tenant edition, has no public price
  • Config- and CLI-driven, with no polished console to hand a non-engineer
  • Sky's GPU prices are shown as wide ranges across partners, so the real rate depends on which offer you land

Best for

  • ML teams juggling several GPU providers who want one interface
  • Anyone who wants the orchestration layer self-hosted
  • Groups running non-NVIDIA hardware such as AMD, TPU or Tenstorrent

Not for

  • Teams wanting a managed platform with a console and a flat monthly price
  • Single-machine experiments where orchestration is pure overhead

Watch out: Self-hosting is free, but the GPU bill still lands wherever the compute actually runs. dstack schedules the work, it does not discount it.

#5inGPU Cloud & Compute· of 9 tools, ranked by rating and popularity

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