Cloud · head to head
Coolify vs Lambda

Coolify
Cloud
Open source self-hosted platform that deploys applications and databases to servers you already own
- From
- Free
- Rated
- -

Lambda
Cloud
GPU supercomputers for AI training and inference at enterprise scale
- From
- On request
- Rated
- -
The short version
- Only Coolify has a free tier, so it costs nothing to try first.
- Each has a real cost: 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.; Lambda no free tier or trial, requiring immediate commitment for testing
- They diverge on capability: Coolify covers Git push deployments, Lambda covers Superclusters.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Coolify and Lambda actually diverge.
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 Coolify
- Git push deployments
- One-click services
- Automatic certificates
- Managed databases
- Docker Compose support
- Notifications
Only in Lambda
- Superclusters
- 1-Click Clusters
- On-demand instances
- Liquid cooling
- InfiniBand networking
- Managed orchestration
- Co-engineering support
What people use each for
The jobs each tool is most often brought in to do.
Coolify
- Replacing a managed platform bill with a single Hetzner or DigitalOcean instance running a dozen small applicationsnot Lambda
- An agency hosting many low-traffic client sites on shared servers with certificates handled automaticallynot Lambda
- Self-hosting analytics, databases and internal tools from the one-click catalogue without writing Compose filesnot Lambda
- Deploying inside a country or jurisdiction where no managed platform operates a regionnot Lambda
Lambda
- Training foundation models at scale with dedicated GPU infrastructurenot Coolify
- Large-scale inference serving on enterprise-grade hardwarenot Coolify
- Multi-GPU distributed training with InfiniBand networkingnot Coolify
- Single-tenant secure compute for regulated industriesnot Coolify
- AI lab infrastructure for frontier model developmentnot Coolify
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Lambda
- No free tier or trial, requiring immediate commitment for testing
- Single-tenant Superclusters require custom pricing discussions
- Pricing complexity across multiple GPU types and cluster sizes
- Less suitable for experimentation or small teams with tight budgets
Pricing, plan by plan
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$5/month
- Connects 2 servers, then 3 US dollars a month per extra server
- Managed and updated Coolify dashboard with high availability
- Managed backups of the Coolify instance itself
Lambda
On request- 1-Click Clusters B200$undefined/hourly
- 16 GPUs: $9.86/GPU/hour
- 256+ GPUs: $8.87/GPU/hour
- 1-year+ reserved discounts available
- 1-Click Clusters H100$undefined/hourly
- 16 GPUs: $6.16/GPU/hour
- 256+ GPUs: $5.54/GPU/hour
- On-Demand Instances B200$undefined/hourly
- SXM6: $6.69/GPU/hour
- On-Demand Instances H100$undefined/hourly
- SXM: $3.99/GPU/hour
Which should you pick?
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.
Choose Lambda if
- You need superclusters.
- You work on Cloud.
- You also want 1-click clusters.
Questions people ask
- Is Coolify or Lambda better?
- Neither clearly leads. Coolify starts at Free and Lambda at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Coolify or Lambda?
- Coolify has a free tier; the other does not. Paid plans start at Free for Coolify and On request for Lambda.
- Does Coolify or Lambda run on more platforms?
- Coolify runs on Web, Linux, Docker, Self-hosted. Lambda runs on Cloud.
- Can I use Coolify for free?
- Yes. Coolify has a free tier, so you can try it without paying. Lambda starts at On request.
- What is Coolify best used for?
- Coolify is most often used for replacing a managed platform bill with a single hetzner or digitalocean instance running a dozen small applications, an agency hosting many low-traffic client sites on shared servers with certificates handled automatically, self-hosting analytics, databases and internal tools from the one-click catalogue without writing compose files, deploying inside a country or jurisdiction where no managed platform operates a region. Of those, replacing a managed platform bill with a single hetzner or digitalocean instance running a dozen small applications and an agency hosting many low-traffic client sites on shared servers with certificates handled automatically are not what Lambda is typically brought in for.
- What can Coolify do that Lambda cannot?
- Coolify covers Git push deployments, One-click services, Automatic certificates, Managed databases. Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling.
Answered from the vendors’ own pages
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.
Lambda: What makes Lambda's infrastructure different?
Lambda offers single-tenant Superclusters with exclusive GPU access, liquid cooling, and NVIDIA Quantum-2 InfiniBand networking. The company is 100% focused on AI infrastructure with co-engineering support from teams who built infrastructure for major AI labs.
SourceCoolify: 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.
Lambda: How does pricing work for large clusters?
1-Click Clusters pricing ranges from $5.54-$9.86 per GPU/hour depending on GPU type and cluster size, with volume discounts for 256+ GPUs. Reserved capacity is available at custom pricing for 1-year+ commitments.
SourceCoolify: 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.
Lambda: Which GPU types are available?
Lambda offers NVIDIA B200, H100, A100, and Tesla V100 GPUs. Individual instances range from V100 at $0.79/hour to B200 SXM6 at $6.69/hour. Newer models like Vera Rubin are available in Superclusters.
SourceCoolify: 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.
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