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Cloud · head to head

Anyscale vs Qovery

Anyscale logo

Anyscale

Cloud

Platform for scaling AI and data workloads on Ray, built by Ray's creators

From
Free
Rated
-
Full reviewWebsite
Qovery logo

Qovery

Cloud

Deployment platform that provisions and operates Kubernetes inside your own cloud account

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Anyscale has a free tier, so it costs nothing to try first.
  • Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Qovery no plan publishes a price, deployment minute overage rates are not disclosed, and there is a 14 day trial rather than a free tier, so you cannot budget or compare against alternatives without going through sales.
  • They diverge on capability: Anyscale covers Distributed model training, Qovery covers Bring your own cloud.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Anyscale and Qovery actually diverge.

Attributes where Anyscale and Qovery differ
AttributeAnyscaleQovery
Starting priceFreeOn request
Pricing modelusage-basedquote
Free tierYesNo
Platformsweb, apiWeb, CLI, REST API, Kubernetes

Identical on both: user rating (Not yet rated), category (Cloud).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Anyscale

  • Distributed model training
  • Multimodal data curation
  • Batch embedding generation
  • Multi-cloud orchestration
  • Governance and security
  • Observability
  • Bring-your-own-cloud deployment
  • Elastic GPU allocation

Only in Qovery

  • Bring your own cloud
  • Preview environments
  • Cluster lifecycle
  • Terraform provider
  • MCP server
  • Policy as code

What people use each for

The jobs each tool is most often brought in to do.

Anyscale

  • Training large models on distributed GPU clustersnot Qovery
  • Running batch inference and embedding jobsnot Qovery
  • Preparing multimodal datasets at scalenot Qovery
  • Post-training LLMs with reinforcement learning frameworksnot Qovery

Qovery

  • A regulated business that must keep application data inside its own AWS account but has nobody to build a deployment platformnot Anyscale
  • Giving twenty engineers preview environments per pull request without writing and maintaining Terraform and Helm by handnot Anyscale
  • Standardising deployment across AWS and GCP when acquisitions have left the organisation on two cloudsnot Anyscale
  • Replacing a managed platform when data residency rules put every hosted option out of reachnot Anyscale

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Anyscale

  • Pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.
  • Built around Ray, so teams not already using Ray face a steeper adoption curve than single-purpose inference APIs.
  • No published fixed-fee subscription tier; all listed pricing is usage-based on-demand compute.

Qovery

  • No plan publishes a price, deployment minute overage rates are not disclosed, and there is a 14 day trial rather than a free tier, so you cannot budget or compare against alternatives without going through sales.
  • The GPL-3.0 engine and console do not constitute a self-hostable product, because the control plane and API are closed and the self-hosted option is gated behind Enterprise, so the open licence gives you no exit if the company changes direction.
  • Qovery provisions managed Kubernetes into your account, which means the cloud bill sits on top of the licence and Qovery initiates control plane and ingress controller upgrades on infrastructure your team is accountable for.
  • The company repositioned to agentic infrastructure in June 2026 and now ships a deployment platform, a browser development portal and autonomous coding agents concurrently, so a buyer of the deployment product is not at the centre of the roadmap.
  • Team and Business are capped at two and three connected clusters with fixed 4 vCPU CI runners and no single sign-on on Team, which pushes teams of moderate size onto quoted Enterprise pricing earlier than the plan names imply.

Pricing, plan by plan

Anyscale

Free
  • Pay-as-you-go$undefined/mo
    • CPU only from $0.0135/hr
    • NVIDIA T4 $0.5682/hr
    • NVIDIA L4 $0.9542/hr
  • Committed contract$undefined/mo
    • Volume discounts
    • Use of existing GPU reservations

Qovery

On request
  • Team$undefined/year
    • Billed on usage with no published rate card
    • 10 users, up to 100 environments, 2 connected clusters
    • 5,000 deployment minutes and 7 day audit logs
  • Business$undefined/year
    • Billed on usage with no published rate card
    • 20 users, up to 250 environments, 3 connected clusters
    • 10,000 deployment minutes and 30 day audit logs
  • Enterprise$undefined/year
    • Custom users, environments and clusters
    • Self-hosted or air-gapped control plane
    • On-premises and bring-your-own-Kubernetes

Which should you pick?

Choose Anyscale if

  • You need distributed model training.
  • You want to start without paying.
  • You work on web, api.
  • You also want multimodal data curation.
Anyscale review

Choose Qovery if

  • You need bring your own cloud.
  • You work on Web, CLI, REST API, Kubernetes.
  • You also want preview environments.
Qovery review

Questions people ask

Is Anyscale or Qovery better?
Neither clearly leads. Anyscale starts at Free and Qovery at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or Qovery?
Anyscale has a free tier; the other does not. Paid plans start at Free for Anyscale and On request for Qovery.
Does Anyscale or Qovery run on more platforms?
Anyscale runs on web, api. Qovery runs on Web, CLI, REST API, Kubernetes.
Can I use Anyscale for free?
Yes. Anyscale has a free tier, so you can try it without paying. Qovery starts at On request.
What is Anyscale best used for?
Anyscale is most often used for training large models on distributed gpu clusters, running batch inference and embedding jobs, preparing multimodal datasets at scale, post-training llms with reinforcement learning frameworks. Of those, training large models on distributed gpu clusters and running batch inference and embedding jobs are not what Qovery is typically brought in for.
What can Anyscale do that Qovery cannot?
Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Qovery covers Bring your own cloud, Preview environments, Cluster lifecycle, Terraform provider.

Answered from the vendors’ own pages

Anyscale: How much does Anyscale cost?

Anyscale bills on a pay-as-you-go basis: CPU compute starts at $0.0135/hr, NVIDIA T4 at $0.5682/hr, and NVIDIA A100 at $4.9591/hr, with committed contracts offering volume discounts for larger workloads.

Source
Qovery: Does Qovery run my applications on its own servers?

No. It provisions and operates Kubernetes inside your AWS, GCP, Azure or Scaleway account, so compute and data stay with your cloud provider and that bill is entirely separate from the Qovery licence.

Anyscale: Is there a free trial or credit?

New users receive $100 in Anyscale credits to explore the platform, which can be applied toward starter templates and on-demand compute usage.

Source
Qovery: Can I self-host Qovery?

Only on Enterprise. The deployment engine and console are GPL-3.0, but the control plane is closed source and the self-hosted and air-gapped deployments are commercial Enterprise features.

Anyscale: How is usage billed?

Hosted usage is billed hourly per compute instance type and invoiced monthly by credit card; bring-your-own-cloud usage is invoiced through Anyscale or the customer's cloud marketplace account.

Source
Qovery: What does it cost?

Qovery does not publish a rate card. Team and Business are billed on usage and quoted through sales, and Enterprise is fully custom. There is a 14 day trial with no card required.

Anyscale: What support is included?

Hosted plans include business-hours support with up to 5 case submissions, while bring-your-own-cloud deployments get 24x7 enterprise SLAs and unlimited case submissions.

Source
Qovery: What survives if I stop paying?

The Kubernetes cluster and the workloads keep running in your cloud account, but you lose the console, the deployment pipeline, preview environments and every process built on top of them.

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