Softwr

Cloud · head to head

Beam Cloud vs Coolify

Beam Cloud logo

Beam Cloud

Cloud

Serverless GPU computing with sub-second cold starts and multi-cloud support

From
Free
Rated
-
Full reviewWebsite
Coolify logo

Coolify

Cloud

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; 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: Beam Cloud covers Sub-second cold starts, Coolify covers Git push deployments.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Beam Cloud and Coolify actually diverge.

Attributes where Beam Cloud and Coolify differ
AttributeBeam CloudCoolify
Pricing modelFreemium with pay-per-millisecond usage chargesOpen source, no licence fee
PlatformsCloud, PythonWeb, 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 Beam Cloud

  • Sub-second cold starts
  • Inference endpoints
  • Task queues
  • Sandboxes
  • Multi-cloud support
  • Python SDK
  • Global distribution
  • Massive parallelization

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.

Beam Cloud

  • Deploying ML models with minimal latency and setup timenot Coolify
  • Large-scale batch processing across thousands of concurrent tasksnot Coolify
  • Cost-effective inference serving with bursty workloadsnot Coolify
  • Multi-cloud AI deployments with global low-latency accessnot Coolify
  • Serverless AI development for rapid experimentationnot Coolify

Coolify

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

Where each one falls short

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

Beam Cloud

  • Free tier limited to $30 monthly credits with 5 GPU containers
  • Massive parallelization complexity may require DevOps expertise
  • Per-millisecond pricing model requires careful cost monitoring
  • Smaller team relative to established cloud providers

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

Beam Cloud

Free
  • DeveloperFree
    • $30 monthly free credits
    • 5 GPU containers, 30 CPU containers
    • Community support
  • Team$89/month
    • $30 monthly free credits included
    • 50 GPU containers, 1,000 CPU containers
    • 3 seats included, $25 per additional
  • Growth$undefined/custom
    • 1,000+ GPU containers
    • Unlimited CPU containers
    • Unlimited seats
  • Serverless GPUs$undefined/per-millisecond
    • RTX 4090: $0.00019/sec

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 Beam Cloud if

  • You need sub-second cold starts.
  • You want to start without paying.
  • You work on Cloud, Python.
  • You also want inference endpoints.
Beam Cloud 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 Beam Cloud or Coolify better?
Neither clearly leads. Beam Cloud 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, Beam Cloud or Coolify?
Beam Cloud starts at Free and Coolify at Free.
Does Beam Cloud or Coolify run on more platforms?
Beam Cloud runs on Cloud, Python. Coolify runs on Web, Linux, Docker, Self-hosted.
Can I use Beam Cloud for free?
Both have a free tier, so you can try either at no cost before committing.
What is Beam Cloud best used for?
Beam Cloud is most often used for deploying ml models with minimal latency and setup time, large-scale batch processing across thousands of concurrent tasks, cost-effective inference serving with bursty workloads, multi-cloud ai deployments with global low-latency access. Of those, deploying ml models with minimal latency and setup time and large-scale batch processing across thousands of concurrent tasks are not what Coolify is typically brought in for.
What can Beam Cloud do that Coolify cannot?
Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes. Coolify covers Git push deployments, One-click services, Automatic certificates, Managed databases.

Answered from the vendors’ own pages

Beam Cloud: What is included in the Developer plan?

The Developer plan includes $30 monthly free credits, 5 GPU containers, 30 CPU containers, and community support. No upfront commitment is required.

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.

Beam Cloud: How fast are the cold starts?

Beam Cloud achieves sub-second cold starts through memory snapshots that restore GPU containers 35x faster than traditional cold boots.

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.

Beam Cloud: Can I deploy across multiple cloud providers?

Yes, Beam Cloud supports multi-cloud deployment across AWS, GCP, Azure, Hetzner, and other providers with 30+ global regions available.

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.

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.

Share

Related pages

More on Beam Cloud

More on Coolify

Keep looking

Other head to heads