Is Anyscale or Coolify better?

Neither clearly leads. Anyscale starts at Free and Coolify at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, Anyscale or Coolify?

Anyscale starts at Free and Coolify at Free.

Does Anyscale or Coolify run on more platforms?

Anyscale runs on web, api. Coolify runs on Web, Linux, Docker, Self-hosted.

Can I use Anyscale for free?

Both have a free tier, so you can try either at no cost before committing.

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 Coolify is typically brought in for.

What can Anyscale do that Coolify cannot?

Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Coolify covers Git push deployments, One-click services, Automatic certificates, Managed databases.

Cloud · head to head

Anyscale vs Coolify

Anyscale

Cloud

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

From: Free
Rated: -

Full review Website

Coolify

Cloud

Open source self-hosted platform that deploys applications and databases to servers you already own

From: Free
Rated: -

Full review Website

The short version

Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Coolify commit history since June 2026 shows one maintainer at 73 commits and a second at 15 with nobody else above one, and the same two people also ship four other coolLabs products, so the project depends on a very small number of individuals.
They diverge on capability: Anyscale covers Distributed model training, Coolify covers Git push deployments.
Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Anyscale and Coolify actually diverge.

Attributes where Anyscale and Coolify differ
Attribute	Anyscale	Coolify
Pricing model	usage-based	Open source, no licence fee
Platforms	web, api	Web, Linux, Docker, Self-hosted

Identical on both: starting price (Free), free tier (Yes), 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 Coolify

Git push deployments
One-click services
Automatic certificates
Managed databases
Docker Compose support
Notifications

What people use each for

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

Anyscale

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

Coolify

Replacing a managed platform bill with a single Hetzner or DigitalOcean instance running a dozen small applicationsnot Anyscale
An agency hosting many low-traffic client sites on shared servers with certificates handled automaticallynot Anyscale
Self-hosting analytics, databases and internal tools from the one-click catalogue without writing Compose filesnot Anyscale
Deploying inside a country or jurisdiction where no managed platform operates a regionnot 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.

Coolify

Commit history since June 2026 shows one maintainer at 73 commits and a second at 15 with nobody else above one, and the same two people also ship four other coolLabs products, so the project depends on a very small number of individuals.
Multi-server support is documented as experimental, load balancer configuration is manual, every server must share the same CPU architecture, and moving images between hosts requires you to run your own Docker registry.
In self-hosted mode the Coolify machine holds every SSH key and secret with no documented high availability, so the dashboard host is a single point of failure that the paid Cloud tier fixes and self-hosting does not.
Scheduled S3 backups cover PostgreSQL, MySQL, MariaDB and MongoDB only, so application persistent volumes are your responsibility and a restore is untested unless you test it yourself.
Release cadence is fast enough that six patch versions shipped inside ten days in August 2026 against several hundred open issues, and because instances can update themselves a regression can reach a production host before you have read the changelog.

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

Coolify

Free

Self-hostedFree
- Apache-2.0, no features held back
- Unlimited servers, applications and users
- You run, update and back up the dashboard yourself
Cloud$5/month
- Connects 2 servers, then 3 US dollars a month per extra server
- Managed and updated Coolify dashboard with high availability
- Managed backups of the Coolify instance itself

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 Coolify if

You need git push deployments.
You want to start without paying.
You work on Web, Linux, Docker, Self-hosted.
You also want one-click services.

Coolify review

Questions people ask

Is Anyscale or Coolify better?: Neither clearly leads. Anyscale starts at Free and Coolify at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or Coolify?: Anyscale starts at Free and Coolify at Free.
Does Anyscale or Coolify run on more platforms?: Anyscale runs on web, api. Coolify runs on Web, Linux, Docker, Self-hosted.
Can I use Anyscale for free?: Both have a free tier, so you can try either at no cost before committing.
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 Coolify is typically brought in for.
What can Anyscale do that Coolify cannot?: Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Coolify covers Git push deployments, One-click services, Automatic certificates, Managed databases.

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

Coolify: Is anything held back for the paid tier?

No. Coolify Cloud hosts, updates and backs up the dashboard and gives it high availability. Every feature that touches your applications is in the Apache-2.0 build you can run yourself.

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

Coolify: What does Coolify Cloud cost?

Five US dollars a month connects two servers, and each additional server is three dollars a month, with 20 per cent off for annual billing. You still supply and pay for the servers themselves.

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

Coolify: Does it back up my application data?

It backs up PostgreSQL, MySQL, MariaDB and MongoDB to S3 on a schedule. Application persistent volumes are not covered, so anything stored outside a managed database needs your own backup plan.

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

Coolify: Can I run it across several servers?

Yes, but the documentation calls multi-server experimental. Load balancing is not configured for you, all nodes must share a CPU architecture, and you need to run your own Docker registry.

Anyscale vs Coolify

Anyscale

Coolify

The short version

Where they differ

What each one covers

Only in Anyscale

Only in Coolify

What people use each for

Anyscale

Coolify

Where each one falls short

Anyscale

Coolify

Pricing, plan by plan

Anyscale

Coolify

Which should you pick?

Choose Anyscale if

Choose Coolify if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on Anyscale

More on Coolify

Keep looking

Other head to heads