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Anyscale vs Deno Deploy

Anyscale logo

Anyscale

Software

Platform for scaling AI and data workloads on Ray, built by Ray's creators

From
Free
Rated
-
Deno Deploy logo

Deno Deploy

Software

Serverless JavaScript at the edge

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.

Attributes where Anyscale and Deno Deploy differ
AttributeAnyscaleDeno Deploy
Pricing modelusage-basedUnknown
Platformsweb, apiCloud/Web
FoundedUnknown2021

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.

Source
Deno 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.

Source
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.

Source
Deno 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.

Source
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.

Source
Deno 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.

Source
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.

Source
Deno 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.

Source
Deno 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.

Source
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