Cloud · head to head
Lambda vs HAProxy

Lambda
Cloud
GPU supercomputers for AI training and inference at enterprise scale
- From
- On request
- Rated
- -
The short version
- Only HAProxy has a free tier, so it costs nothing to try first.
- Each has a real cost: Lambda no free tier or trial, requiring immediate commitment for testing; HAProxy configuration syntax is dense and unforgiving, with a steep initial learning curve
- They diverge on capability: Lambda covers Superclusters, HAProxy covers High throughput.
Where they differ
Only the attributes on which Lambda and HAProxy 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 Lambda
- Superclusters
- 1-Click Clusters
- On-demand instances
- Liquid cooling
- InfiniBand networking
- Managed orchestration
- Co-engineering support
Only in HAProxy
- High throughput
- Layer 4 and 7
- Health checking
- Rate limiting and ACLs
What people use each for
The jobs each tool is most often brought in to do.
Lambda
- Training foundation models at scale with dedicated GPU infrastructurenot HAProxy
- Large-scale inference serving on enterprise-grade hardwarenot HAProxy
- Multi-GPU distributed training with InfiniBand networkingnot HAProxy
- Single-tenant secure compute for regulated industriesnot HAProxy
- AI lab infrastructure for frontier model developmentnot HAProxy
HAProxy
- Load balancing at traffic levels where proxy efficiency shows up in the hardware billnot Lambda
- Precise traffic control — rate limits, sticky sessions, complex routing rulesnot Lambda
- TCP load balancing for databases and non-HTTP servicesnot Lambda
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
HAProxy
- Configuration syntax is dense and unforgiving, with a steep initial learning curve
- No automatic certificate management, unlike newer servers that treat it as default behaviour
- The built-in stats page is basic, so real observability needs exporters and dashboards
- A dedicated load balancer is more machinery than small deployments need
Pricing, plan by plan
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
HAProxy
Free- HAProxyFree
- Full functionality
- No usage limits
- Community support
Which should you pick?
Choose Lambda if
- You need superclusters.
- You work on Cloud.
- You also want 1-click clusters.
Choose HAProxy if
- You need high throughput.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want layer 4 and 7.
Questions people ask
- Is Lambda or HAProxy better?
- Neither clearly leads. Lambda starts at On request and HAProxy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lambda or HAProxy?
- HAProxy has a free tier; the other does not. Paid plans start at On request for Lambda and Free for HAProxy.
- Does Lambda or HAProxy run on more platforms?
- Lambda runs on Cloud. HAProxy runs on Linux, Docker, Kubernetes, Self-hosted.
- Can I use HAProxy for free?
- Yes. HAProxy has a free tier, so you can try it without paying. Lambda starts at On request.
- What is Lambda best used for?
- Lambda is most often used for training foundation models at scale with dedicated gpu infrastructure, large-scale inference serving on enterprise-grade hardware, multi-gpu distributed training with infiniband networking, single-tenant secure compute for regulated industries. Of those, training foundation models at scale with dedicated gpu infrastructure and large-scale inference serving on enterprise-grade hardware are not what HAProxy is typically brought in for.
- What can Lambda do that HAProxy cannot?
- Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. HAProxy covers High throughput, Layer 4 and 7, Health checking, Rate limiting and ACLs.
Answered from the vendors’ own pages
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.
SourceHAProxy: Is HAProxy free?
Yes, the community version is open source. HAProxy Technologies sells HAProxy Enterprise separately.
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.
SourceHAProxy: HAProxy or Nginx?
HAProxy is a specialist load balancer with deeper balancing and health-check features. Nginx also serves static content and is more approachable, which is why it is more common as a general web server.
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.
SourceHAProxy: Does HAProxy handle TLS certificates automatically?
No. Certificate issuance and renewal are external, unlike Caddy where it is automatic.
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