Cloud · head to head
Caddy vs Lambda Labs
The short version
- Only Caddy has a free tier, so it costs nothing to try first.
- Each has a real cost: Caddy smaller ecosystem than Nginx, so third-party guides and modules are fewer; Lambda Labs on demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed
- They diverge on capability: Caddy covers Automatic HTTPS, Lambda Labs covers NVIDIA GPUs.
Where they differ
Only the attributes on which Caddy and Lambda Labs actually diverge.
| Attribute | Caddy | Lambda Labs |
|---|---|---|
| Starting price | Free | $1.1/per-hour |
| Pricing model | Open source, no licence fee | usage-based |
| Free tier | Yes | No |
| Platforms | Linux, macOS, Windows, Docker | Cloud |
| Category | Cloud | AI |
| Founded | Unknown | 2012 |
Identical on both: user rating (Not yet rated).
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 Caddy
- Automatic HTTPS
- Caddyfile
- Reverse proxy
- Single binary
Only in Lambda Labs
- NVIDIA GPUs
- Pre-installed frameworks
- Persistent storage
- SSH access
- JupyterLab
- VSCode
- SSH
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
Caddy
- Sites and services where expired certificates have caused outages beforenot Lambda Labs
- Small deployments where Nginx configuration is more effort than the problem warrantsnot Lambda Labs
- Reverse proxying internal services with TLS without a certificate workflownot Lambda Labs
Lambda Labs
- Renting GPU instances for model training and inferencenot Caddy
- Short term access to high memory accelerators without buying hardwarenot Caddy
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Caddy
- Smaller ecosystem than Nginx, so third-party guides and modules are fewer
- Adding plugins means rebuilding the binary rather than loading a module
- Under very high throughput Nginx generally still benchmarks ahead
- Automatic certificate issuance needs outbound internet access, which complicates air-gapped deployments
Lambda Labs
- On demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed
- H100 pricing varies within a band, at $3.99 to $4.29 an hour per GPU, so the rate is not fixed
- Reserved capacity is arranged by contacting the team rather than self serve
- Prices are quoted before applicable tax
Pricing, plan by plan
Caddy
Free- CaddyFree
- Full functionality
- Commercial use permitted
- Community support
Lambda Labs
$1.1/per-hour- On-Demand$1.1/per-hour
- A10 GPU
- Instant availability
- ReservedFree
- Volume discounts
- Guaranteed capacity
Which should you pick?
Choose Caddy if
- You need automatic https.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker.
- You also want caddyfile.
Choose Lambda Labs if
- You need nvidia gpus.
- You work on Cloud.
- You also want pre-installed frameworks.
Questions people ask
- Is Caddy or Lambda Labs better?
- Neither clearly leads. Caddy starts at Free and Lambda Labs at $1.1/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Caddy or Lambda Labs?
- Caddy has a free tier; the other does not. Paid plans start at Free for Caddy and $1.1/per-hour for Lambda Labs.
- Does Caddy or Lambda Labs run on more platforms?
- Caddy runs on Linux, macOS, Windows, Docker. Lambda Labs runs on Cloud.
- Can I use Caddy for free?
- Yes. Caddy has a free tier, so you can try it without paying. Lambda Labs starts at $1.1/per-hour.
- What is Caddy best used for?
- Caddy is most often used for sites and services where expired certificates have caused outages before, small deployments where nginx configuration is more effort than the problem warrants, reverse proxying internal services with tls without a certificate workflow. Of those, sites and services where expired certificates have caused outages before and small deployments where nginx configuration is more effort than the problem warrants are not what Lambda Labs is typically brought in for.
- What can Caddy do that Lambda Labs cannot?
- Caddy covers Automatic HTTPS, Caddyfile, Reverse proxy, Single binary. Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access.
Answered from the vendors’ own pages
Caddy: Is Caddy free?
Yes, open source under the Apache 2.0 licence, free for commercial use.
Lambda Labs: What does Lambda Labs GPU pricing depend on?
Lambda Labs pricing depends on the GPU model (H100, B200, A100, V100, etc.), cluster size, and contract length. For example, a 16-GPU H100 cluster costs $6.16/GPU/hour for 2 weeks to 1 year, while A100 GPUs are $1.99-$2.79/GPU/hour.
SourceCaddy: What does automatic HTTPS mean?
Caddy obtains certificates from Let’s Encrypt or ZeroSSL on first request and renews them before expiry, with no cron job or configuration.
Lambda Labs: Are there volume discounts for larger GPU clusters?
Yes. Pricing decreases with larger cluster orders. For example, NVIDIA H100 clusters cost $6.16/GPU/hour for 16 GPUs, $5.85/GPU/hour for 64 GPUs, and $5.54/GPU/hour for 256 GPUs (all for 2 weeks to 1 year terms).
SourceCaddy: Caddy or Nginx?
Caddy is dramatically simpler to configure and removes certificate management. Nginx has the larger ecosystem and better peak throughput.
Lambda Labs: Can I get custom pricing for a long-term GPU contract?
Yes. For cluster orders of 16+ GPUs with 1-year or longer contracts, Lambda Labs offers custom pricing. Contact their sales team to request a quote.
SourceLambda Labs: What additional costs should I expect beyond the hourly GPU rate?
All listed prices are plus applicable sales tax, VAT, or GST depending on your location.
SourceRelated pages
More on Lambda Labs
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