Software · head to head
Anyscale vs Fastly

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.; Fastly bandwidth is priced per region, and delivery to India, Africa and South Korea is $0.28 per GB against $0.12 in North America and Europe
- They diverge on capability: Anyscale covers Distributed model training, Fastly covers Edge Compute.
Where they differ
Only the attributes on which Anyscale and Fastly actually diverge.
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), platforms (web, api), 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 Fastly
- Edge Compute
- CDN
- DDoS Protection
- Real-time Analytics
- Image Optimization
- Video Streaming
- API
- Instant Purge
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Fastly
- Running batch inference and embedding jobsnot Fastly
- Preparing multimodal datasets at scalenot Fastly
- Post-training LLMs with reinforcement learning frameworksnot Fastly
Fastly
- Serving static and dynamic content through a global CDNnot Anyscale
- Running edge logic and caching in front of an origin applicationnot 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.
Fastly
- Bandwidth is priced per region, and delivery to India, Africa and South Korea is $0.28 per GB against $0.12 in North America and Europe
- The same traffic therefore costs more than twice as much depending on where the audience is, which is invisible until the bill arrives
- The free allowance is 100 GB of bandwidth and 1M requests a month
- Requests are billed separately from bandwidth, at $0.01 per 10,000 above the first million
- High volume rates past 50 TB are not published and require contacting sales
Pricing, plan by plan
Anyscale
Free- Pay-as-you-go$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
Fastly
Free- Free TrialFree
- CDN
- DDoS protection
- Real-time analytics
- Pay-As-You-GoFree
- Usage-based pricing
- Advanced features
- 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 Fastly if
- You need edge compute.
- You want to start without paying.
- You work on Web, Api.
- You also want cdn.
Questions people ask
- Is Anyscale or Fastly better?
- Neither clearly leads. Anyscale starts at Free and Fastly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Fastly?
- Anyscale starts at Free and Fastly at Free.
- Does Anyscale or Fastly run on more platforms?
- Anyscale runs on web, api. Fastly runs on Web, Api.
- 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 Fastly is typically brought in for.
- What can Anyscale do that Fastly cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Fastly covers Edge Compute, CDN, DDoS Protection, Real-time Analytics.
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
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