Software · head to head
Anyscale vs Deno Deploy

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.; Deno Deploy smaller ecosystem compared to AWS Lambda with fewer third-party integrations
- They diverge on capability: Anyscale covers Distributed model training, Deno Deploy covers Edge Functions.
Where they differ
Only the attributes on which Anyscale and Deno Deploy actually diverge.
| Attribute | Anyscale | Deno Deploy |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | web, api | Cloud/Web |
| Founded | Unknown | 2021 |
Identical on both: starting price (Free), 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 Deno Deploy
- Edge Functions
- Deno KV
- Automatic HTTPS
- Global Distribution
- Zero Config Deploy
- Git Integration
- Instant Rollbacks
- Web Standard APIs
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Deno Deploy
- Running batch inference and embedding jobsnot Deno Deploy
- Preparing multimodal datasets at scalenot Deno Deploy
- Post-training LLMs with reinforcement learning frameworksnot Deno Deploy
Deno Deploy
- API endpointsnot Anyscale
- Edge functionsnot Anyscale
- Static sitesnot Anyscale
- Real-time appsnot 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.
Deno Deploy
- Smaller ecosystem compared to AWS Lambda with fewer third-party integrations
- Less mature than established serverless platforms; newer company and platform
- 1GB deployment size limit may restrict larger applications
- 512MB memory limit lower than some competitors for memory-intensive workloads
- Smaller user base and community compared to Lambda or Netlify
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
Deno Deploy
Free- FreeFree
- 1M requests/month
- 100GB outbound bandwidth
- 50ms CPU time per request
- Pro$20/month
- Unlimited requests
- 5GB KV storage
- Priority 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 Deno Deploy if
- You need edge functions.
- You want to start without paying.
- You work on Cloud/Web.
- You also want deno kv.
Questions people ask
- Is Anyscale or Deno Deploy better?
- Neither clearly leads. Anyscale starts at Free and Deno Deploy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Deno Deploy?
- Anyscale starts at Free and Deno Deploy at Free.
- Does Anyscale or Deno Deploy run on more platforms?
- Anyscale runs on web, api. Deno Deploy runs on Cloud/Web.
- 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 Deno Deploy is typically brought in for.
- What can Anyscale do that Deno Deploy cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Deno Deploy covers Edge Functions, Deno KV, Automatic HTTPS, Global Distribution.
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.
SourceDeno Deploy: What does Deno Deploy's free tier include?
Deno Deploy free tier includes 1 million requests per month, 100 GB of outbound bandwidth, 50 milliseconds of CPU time per request, 50 custom domains, 1 GiB of KV storage, and up to 5 team members.
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.
SourceDeno Deploy: What are Deno Deploy's Pro plan features and pricing?
Deno Deploy Pro costs $20/month and removes request limits, increases KV storage to 5GB, and includes priority support. Additional storage beyond 5GB costs $0.75/GiB.
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.
SourceDeno Deploy: What are the deployment size and memory limits for Deno Deploy?
The total size of all files within a deployment (source files and static files) should not exceed 1 gigabyte. Applications have a maximum memory allocation of 512MB.
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.
SourceDeno Deploy: Does Deno Deploy support TypeScript natively?
Yes. Deno Deploy runs TypeScript natively with zero-configuration TypeScript support. Code can be written in TypeScript or JavaScript and runs on the same V8 engine.
SourceDeno Deploy: What security features does Deno Deploy provide?
Deno Deploy features an opt-in permission system to mitigate supply chain attacks. Permissions can be explicitly granted for file, network, and environment access, running code securely by default.
SourceRelated pages
More on Deno Deploy
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