Cloud · head to head
Anyscale vs Encore

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.; Encore limited language support (TypeScript and Go only)
- They diverge on capability: Anyscale covers Distributed model training, Encore covers Local development environment.
Where they differ
Only the attributes on which Anyscale and Encore 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 Encore
- Local development environment
- Preview environments
- Infrastructure automation
- Cloud deployment
- Self-service operations
- Distributed tracing
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Encore
- Running batch inference and embedding jobsnot Encore
- Preparing multimodal datasets at scalenot Encore
- Post-training LLMs with reinforcement learning frameworksnot Encore
Encore
- Building microservices with database provisioningnot Anyscale
- Creating feature branch preview environmentsnot Anyscale
- Deploying TypeScript and Go backends to AWS/GCPnot 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.
Encore
- Limited language support (TypeScript and Go only)
- Pro tier requires per-member subscription pricing
- Additional resource costs beyond subscription for AWS/GCP provisioning
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
Encore
Free- StarterFree
- 2 free dev environments
- 1M distributed tracing events/month
- 7-day log retention
- Pro$49/month
- Unlimited free dev environments
- 20M tracing events/month
- 30-day log retention
- Enterprise$undefined/custom
- Enterprise security and compliance
- SSO/SAML
- Custom RBAC
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 Encore if
- You need local development environment.
- You want to start without paying.
- You work on Web, CLI.
- You also want preview environments.
Questions people ask
- Is Anyscale or Encore better?
- Neither clearly leads. Anyscale starts at Free and Encore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Encore?
- Anyscale starts at Free and Encore at Free.
- Does Anyscale or Encore run on more platforms?
- Anyscale runs on web, api. Encore runs on Web, 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 Encore is typically brought in for.
- What can Anyscale do that Encore cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Encore covers Local development environment, Preview environments, Infrastructure automation, Cloud deployment.
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.
SourceEncore: What happens after the free tier?
The Pro plan costs $49/member/month plus usage charges of $2.50 per resource and $99 per AWS/GCP environment.
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.
SourceEncore: Do I own my infrastructure?
Yes, Encore deploys infrastructure in your own AWS or GCP cloud account, so you maintain complete control and avoid vendor lock-in.
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
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