Software · head to head
Replicate vs Lambda Labs
The short version
- Only Replicate has a free tier, so it costs nothing to try first.
- Each has a real cost: Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing; 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: Replicate covers Model hosting, Lambda Labs covers NVIDIA GPUs.
Where they differ
Only the attributes on which Replicate and Lambda Labs actually diverge.
| Attribute | Replicate | Lambda Labs |
|---|---|---|
| Starting price | Free | $1.1/per-hour |
| Free tier | Yes | No |
| Platforms | Api, Cloud | Cloud |
| Founded | 2019 | 2012 |
Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Unknown).
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 Replicate
- Model hosting
- Simple API
- Auto-scaling
- Custom models
- REST API
- Python client
- JavaScript client
- Api support
Only in Lambda Labs
- NVIDIA GPUs
- Pre-installed frameworks
- Persistent storage
- SSH access
- JupyterLab
- VSCode
- SSH
Both cover
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
Replicate
- Running open source machine learning models through a hosted API without managing GPUsnot Lambda Labs
- Deploying and serving a custom or fine tuned model on rented GPU hardwarenot Lambda Labs
- Per second billed batch image, video and language model inferencenot Lambda Labs
Lambda Labs
- Renting GPU instances for model training and inferencenot Replicate
- Short term access to high memory accelerators without buying hardwarenot Replicate
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Replicate
- Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
- The pricing page publishes no free tier allowance
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
Replicate
Free- FreeFree
- Limited free credits
- Public models
- Pay-per-use$0.000225/per-second
- All models
- Private models
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 Replicate if
- You need model hosting.
- You want to start without paying.
- You work on Api, Cloud.
- You also want simple api.
Choose Lambda Labs if
- You need nvidia gpus.
- You work on Cloud.
- You also want pre-installed frameworks.
Questions people ask
- Is Replicate or Lambda Labs better?
- Neither clearly leads. Replicate 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, Replicate or Lambda Labs?
- Replicate has a free tier; the other does not. Paid plans start at Free for Replicate and $1.1/per-hour for Lambda Labs.
- Does Replicate or Lambda Labs run on more platforms?
- Replicate runs on Api, Cloud. Lambda Labs runs on Cloud.
- Can I use Replicate for free?
- Yes. Replicate has a free tier, so you can try it without paying. Lambda Labs starts at $1.1/per-hour.
- What is Replicate best used for?
- Replicate is most often used for running open source machine learning models through a hosted api without managing gpus, deploying and serving a custom or fine tuned model on rented gpu hardware, per second billed batch image, video and language model inference. Of those, running open source machine learning models through a hosted api without managing gpus and deploying and serving a custom or fine tuned model on rented gpu hardware are not what Lambda Labs is typically brought in for.
- What can Replicate do that Lambda Labs cannot?
- Replicate covers Model hosting, Simple API, Auto-scaling, Custom models. Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access. Both handle Cloud support.