Software · head to head
Anyscale vs Hetzner Cloud

Anyscale
Software
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.; Hetzner Cloud cost-Optimized plans are shown as currently unavailable
- They diverge on capability: Anyscale covers Distributed model training, Hetzner Cloud covers Cloud servers.
Where they differ
Only the attributes on which Anyscale and Hetzner Cloud actually diverge.
| Attribute | Anyscale | Hetzner Cloud |
|---|---|---|
| Platforms | web, api | Web, Api, Cli |
| Founded | Unknown | 1997 |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), 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 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 Hetzner Cloud
- Cloud servers
- Block storage
- Object storage
- Load balancers
- Networks
- Firewalls
- Floating IPs
- Backups
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Hetzner Cloud
- Running batch inference and embedding jobsnot Hetzner Cloud
- Preparing multimodal datasets at scalenot Hetzner Cloud
- Post-training LLMs with reinforcement learning frameworksnot Hetzner Cloud
Hetzner Cloud
- Low-cost virtual servers for development and testingnot Anyscale
- European hosting with data held in Germany or Finlandnot Anyscale
- Workloads with heavy egress, where included traffic mattersnot Anyscale
- Self-hosting applications away from the hyperscalersnot 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.
Hetzner Cloud
- Cost-Optimized plans are shown as currently unavailable
- The shared-resource tiers are positioned for variable usage and development rather than sustained production workloads
- Regions are limited to Germany, Finland, the United States and Singapore, so latency to other markets is a real constraint
- The uptime guarantee is 99.9 percent, below what the large hyperscalers offer on comparable services
- Support is 24/7 by email, without a phone channel
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
Hetzner Cloud
Free- CX11$3.29/month
- 1 vCPU
- 1GB RAM
- 25GB SSD
- CX21$6.59/month
- 2 vCPU
- 4GB RAM
- 40GB SSD
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 Hetzner Cloud if
- You need cloud servers.
- You want to start without paying.
- You work on Web, Api, Cli.
- You also want block storage.
Questions people ask
- Is Anyscale or Hetzner Cloud better?
- Neither clearly leads. Anyscale starts at Free and Hetzner Cloud at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Hetzner Cloud?
- Anyscale starts at Free and Hetzner Cloud at Free.
- Does Anyscale or Hetzner Cloud run on more platforms?
- Anyscale runs on web, api. Hetzner Cloud runs on Web, Api, Cli.
- 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 Hetzner Cloud is typically brought in for.
- What can Anyscale do that Hetzner Cloud cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Hetzner Cloud covers Cloud servers, Block storage, Object storage, Load balancers.
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.
SourceAnyscale: 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.
SourceAnyscale: 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.
SourceAnyscale: 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
More on Hetzner Cloud
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