Cloud · head to head
Northflank vs Lambda Labs
The short version
- Only Northflank has a free tier, so it costs nothing to try first.
- Each has a real cost: Northflank pricing complexity with multiple rate dimensions; 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: Northflank covers Application deployments, Lambda Labs covers NVIDIA GPUs.
Where they differ
Only the attributes on which Northflank and Lambda Labs actually diverge.
| Attribute | Northflank | Lambda Labs |
|---|---|---|
| Starting price | Free | $1.1/per-hour |
| Pricing model | Unknown | usage-based |
| Free tier | Yes | No |
| Platforms | AWS, GCP, Azure, On-premises | 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 Northflank
- Application deployments
- GPU support
- Preview environments
- Database management
- Multi-cloud support
- GitOps integration
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.
Northflank
- Deploying AI inference models with GPU accelerationnot Lambda Labs
- Running training workloads on distributed GPUsnot Lambda Labs
- Building microservices with multi-cloud reliabilitynot Lambda Labs
Lambda Labs
- Renting GPU instances for model training and inferencenot Northflank
- Short term access to high memory accelerators without buying hardwarenot Northflank
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Northflank
- Pricing complexity with multiple rate dimensions
- GPU costs can be expensive for large-scale deployments
- Learning curve for Kubernetes concepts
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 $4.29 an hour per GPU, so the rate is not fixed
- Reserved capacity is arranged by contacting the team rather than self serve
- Prices are quoted before applicable tax
Pricing, plan by plan
Northflank
Free- Sandbox (Free)Free
- Always-on compute with no sleeping
- 2 free services
- 1 free database
- Pay-as-you-go$undefined/usage
- CPU: $0.01667 per vCPU per hour
- Memory: $0.00833 per GB per hour
- Network egress: $0.06 per GB
- Enterprise$undefined/custom
- Custom pricing with volume discounts
- Invoice-based billing
- Annual commitments
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 Northflank if
- You need application deployments.
- You want to start without paying.
- You work on AWS, GCP, Azure, On-premises.
- You also want gpu support.
Choose Lambda Labs if
- You need nvidia gpus.
- You work on Cloud.
- You also want pre-installed frameworks.
Questions people ask
- Is Northflank or Lambda Labs better?
- Neither clearly leads. Northflank 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, Northflank or Lambda Labs?
- Northflank has a free tier; the other does not. Paid plans start at Free for Northflank and $1.1/per-hour for Lambda Labs.
- Does Northflank or Lambda Labs run on more platforms?
- Northflank runs on AWS, GCP, Azure, On-premises. Lambda Labs runs on Cloud.
- Can I use Northflank for free?
- Yes. Northflank has a free tier, so you can try it without paying. Lambda Labs starts at $1.1/per-hour.
- What is Northflank best used for?
- Northflank is most often used for deploying ai inference models with gpu acceleration, running training workloads on distributed gpus, building microservices with multi-cloud reliability. Of those, deploying ai inference models with gpu acceleration and running training workloads on distributed gpus are not what Lambda Labs is typically brought in for.
- What can Northflank do that Lambda Labs cannot?
- Northflank covers Application deployments, GPU support, Preview environments, Database management. Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access.
Answered from the vendors’ own pages
Northflank: What is included in the free Sandbox tier?
The Sandbox includes always-on compute, 2 free services, 1 free database, 2 free cron jobs, and is perfect for testing applications.
SourceLambda 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.
SourceNorthflank: How much does CPU cost on Northflank?
CPU costs $0.01667 per vCPU per hour on pay-as-you-go pricing.
SourceLambda 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).
SourceNorthflank: What GPUs are available?
GPU options include NVIDIA L4 at $0.80/hr through H100 at $2.74/hr.
SourceLambda 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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