Cloud · head to head
Anyscale vs HAProxy

Anyscale
Cloud
Platform for scaling AI and data workloads on Ray, built by Ray's creators
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; HAProxy configuration syntax is dense and unforgiving, with a steep initial learning curve
- They diverge on capability: Anyscale covers Distributed model training, HAProxy covers High throughput.
Where they differ
Only the attributes on which Anyscale and HAProxy actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 Anyscale
- Distributed model training
- Multimodal data curation
- Batch embedding generation
- Multi-cloud orchestration
- Governance and security
- Observability
- Bring-your-own-cloud deployment
- Elastic GPU allocation
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.
Anyscale
- Training large models on distributed GPU clustersnot HAProxy
- Running batch inference and embedding jobsnot HAProxy
- Preparing multimodal datasets at scalenot HAProxy
- Post-training LLMs with reinforcement learning frameworksnot HAProxy
HAProxy
- Load balancing at traffic levels where proxy efficiency shows up in the hardware billnot Anyscale
- Precise traffic control — rate limits, sticky sessions, complex routing rulesnot Anyscale
- TCP load balancing for databases and non-HTTP servicesnot Anyscale
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Anyscale
- Pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.
- Built around Ray, so teams not already using Ray face a steeper adoption curve than single-purpose inference APIs.
- No published fixed-fee subscription tier; all listed pricing is usage-based on-demand compute.
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
Anyscale
Free- Pay-as-you-go$undefined/mo
- CPU only from $0.0135/hr
- NVIDIA T4 $0.5682/hr
- NVIDIA L4 $0.9542/hr
- Committed contract$undefined/mo
- Volume discounts
- Use of existing GPU reservations
HAProxy
Free- HAProxyFree
- Full functionality
- No usage limits
- Community support
Which should you pick?
Choose Anyscale if
- You need distributed model training.
- You want to start without paying.
- You work on web, api.
- You also want multimodal data curation.
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 Anyscale or HAProxy better?
- Neither clearly leads. Anyscale starts at Free and HAProxy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or HAProxy?
- Anyscale starts at Free and HAProxy at Free.
- Does Anyscale or HAProxy run on more platforms?
- Anyscale runs on web, api. HAProxy runs on Linux, Docker, Kubernetes, Self-hosted.
- Can I use Anyscale for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Anyscale best used for?
- Anyscale is most often used for training large models on distributed gpu clusters, running batch inference and embedding jobs, preparing multimodal datasets at scale, post-training llms with reinforcement learning frameworks. Of those, training large models on distributed gpu clusters and running batch inference and embedding jobs are not what HAProxy is typically brought in for.
- What can Anyscale do that HAProxy cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. HAProxy covers High throughput, Layer 4 and 7, Health checking, Rate limiting and ACLs.
Answered from the vendors’ own pages
Anyscale: How much does Anyscale cost?
Anyscale bills on a pay-as-you-go basis: CPU compute starts at $0.0135/hr, NVIDIA T4 at $0.5682/hr, and NVIDIA A100 at $4.9591/hr, with committed contracts offering volume discounts for larger workloads.
SourceHAProxy: Is HAProxy free?
Yes, the community version is open source. HAProxy Technologies sells HAProxy Enterprise separately.
Anyscale: Is there a free trial or credit?
New users receive $100 in Anyscale credits to explore the platform, which can be applied toward starter templates and on-demand compute usage.
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.
Anyscale: How is usage billed?
Hosted usage is billed hourly per compute instance type and invoiced monthly by credit card; bring-your-own-cloud usage is invoiced through Anyscale or the customer's cloud marketplace account.
SourceHAProxy: Does HAProxy handle TLS certificates automatically?
No. Certificate issuance and renewal are external, unlike Caddy where it is automatic.
Anyscale: What support is included?
Hosted plans include business-hours support with up to 5 case submissions, while bring-your-own-cloud deployments get 24x7 enterprise SLAs and unlimited case submissions.
SourceRelated pages
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