Software · head to head
Anyscale vs Fly.io

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.; Fly.io egress is priced by destination region, from $0.02 per GB in North America and Europe to $0.12 per GB for Africa and India, so the same traffic costs six times more depending on where users are
- They diverge on capability: Anyscale covers Distributed model training, Fly.io covers Global deployment.
Where they differ
Only the attributes on which Anyscale and Fly.io actually diverge.
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 Fly.io
- Global deployment
- Docker support
- Postgres databases
- Redis support
- Auto-scaling
- Health checks
- Backups
- Monitoring
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Fly.io
- Running batch inference and embedding jobsnot Fly.io
- Preparing multimodal datasets at scalenot Fly.io
- Post-training LLMs with reinforcement learning frameworksnot Fly.io
Fly.io
- Deploying containerised applications close to users across regionsnot Anyscale
- Running full stack apps and databases on managed machinesnot 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.
Fly.io
- Egress is priced by destination region, from $0.02 per GB in North America and Europe to $0.12 per GB for Africa and India, so the same traffic costs six times more depending on where users are
- Stopped machines still bill at $0.15 per GB of root filesystem a month, so a paused service is not a free one
- Volumes are billed on provisioned capacity rather than usage, at $0.15 per GB a month
- Reservation discounts of 40% require paying a year up front, from $36 to $1,440
- Fly Kubernetes is a separate $75 a month per cluster
- Dedicated IPv4 addresses are $2 a month each
Pricing, plan by plan
Anyscale
Free- Pay-as-you-go$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
Fly.io
Free- FreeFree
- 3 shared-cpu-1x VMs
- 3GB persistence storage
- 160GB outbound data/month
- Pay-as-you-goFree
- Unlimited applications
- Dedicated machines
- Global deployment
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 Fly.io if
- You need global deployment.
- You want to start without paying.
- You work on Web, Api, Docker.
- You also want docker support.
Questions people ask
- Is Anyscale or Fly.io better?
- Neither clearly leads. Anyscale starts at Free and Fly.io at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Fly.io?
- Anyscale starts at Free and Fly.io at Free.
- Does Anyscale or Fly.io run on more platforms?
- Anyscale runs on web, api. Fly.io runs on Web, Api, Docker.
- 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 Fly.io is typically brought in for.
- What can Anyscale do that Fly.io cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Fly.io covers Global deployment, Docker support, Postgres databases, Redis support.
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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