Cloud · head to head
Anyscale vs Wasabi

Anyscale
Cloud
Platform for scaling AI and data workloads on Ray, built by Ray's creators
- From
- Free
- Rated
- -
The short version
- Only Anyscale has a free tier, so it costs nothing to try first.
- Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Wasabi 90-day minimum storage duration with no option to delete before full period without penalty
- They diverge on capability: Anyscale covers Distributed model training, Wasabi covers Hot Cloud Storage.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Anyscale and Wasabi actually diverge.
Identical on both: platforms (web, api), 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 Wasabi
- Hot Cloud Storage
- S3 Compatible API
- Object Lock
- Versioning
- Multi-region
- Data Migration Tools
- Immutability
- Ransomware Protection
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Wasabi
- Running batch inference and embedding jobsnot Wasabi
- Preparing multimodal datasets at scalenot Wasabi
- Post-training LLMs with reinforcement learning frameworksnot Wasabi
Wasabi
- Backup and recoverynot Anyscale
- Media storagenot Anyscale
- Archive replacementnot Anyscale
- Ransomware protectionnot 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.
Wasabi
- 90-day minimum storage duration with no option to delete before full period without penalty
- Significantly smaller global footprint than AWS with only 16 regions, resulting in higher latency for users in underserved regions
- Performance can degrade with high-volume transactions requiring throughput management strategies
- Hot storage only, no cold/archival storage tier for long-term data at lower cost
- Support responsiveness gaps with teams experiencing multi-day waits for critical issue resolution
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
Wasabi
$7.99/monthNo published plan breakdown. See the Wasabi review.
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 Wasabi if
- You need hot cloud storage.
- You work on Web, API.
- You also want s3 compatible api.
Questions people ask
- Is Anyscale or Wasabi better?
- Neither clearly leads. Anyscale starts at Free and Wasabi at $7.99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Wasabi?
- Anyscale has a free tier; the other does not. Paid plans start at Free for Anyscale and $7.99/month for Wasabi.
- Does Anyscale or Wasabi run on more platforms?
- Anyscale runs on web, api. Wasabi runs on Web, API.
- Can I use Anyscale for free?
- Yes. Anyscale has a free tier, so you can try it without paying. Wasabi starts at $7.99/month.
- 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 Wasabi is typically brought in for.
- What can Anyscale do that Wasabi cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Wasabi covers Hot Cloud Storage, S3 Compatible API, Object Lock, Versioning.
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.
SourceWasabi: What is Wasabi's pricing structure?
Wasabi offers pay-as-you-go pricing at $7.99 per TB per month as of July 2026, with no egress or API request fees. Reserved capacity plans are available for multi-year terms with volume discounts.
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.
SourceWasabi: Does Wasabi charge for data downloads or API calls?
No. Wasabi includes zero egress fees and zero API request fees, which is a major cost advantage over AWS S3. Customers can plan their budget to the penny without worrying about surprise data transfer charges.
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.
SourceWasabi: Is there a minimum storage duration requirement?
Yes. Wasabi enforces a 90-day minimum storage term. Users who delete data before 90 days are still charged for the full 90-day period.
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.
SourceWasabi: Is Wasabi S3-compatible?
Yes. Wasabi Hot Cloud Storage is fully S3-compatible, meaning organizations can integrate it into existing workflows without rewriting application code used with AWS S3.
Related pages
Other head to heads
- Anyscale vs Fireworks AI
- Anyscale vs DeepInfra
- Anyscale vs Cerebrium
- Anyscale vs Lambda
- Anyscale vs Proxmox VE
- Anyscale vs Jaeger
- Anyscale vs Neon
- Anyscale vs Beam Cloud
- Anyscale vs Go
- Anyscale vs Rancher
- Anyscale vs Packer
- Anyscale vs Caddy
- Anyscale vs Longhorn
- Anyscale vs Vault
- Anyscale vs AWS (Amazon Web Services)
- Anyscale vs DigitalOcean
- Anyscale vs Hetzner Cloud
- Anyscale vs Scaleway
- Anyscale vs Linode
- Anyscale vs Vultr
- Anyscale vs Zeabur
- Anyscale vs Porter
- Anyscale vs Contabo
- Anyscale vs Encore
- Anyscale vs Google Cloud Platform
- Anyscale vs Microsoft Azure
- Anyscale vs HAProxy
- Anyscale vs IBM Cloud
- Anyscale vs kind
- Anyscale vs Koyeb
- Anyscale vs Kustomize
- Anyscale vs Linkerd
- Wasabi vs Fireworks AI
- Wasabi vs DeepInfra
- Wasabi vs Cerebrium
- Wasabi vs Lambda
- Wasabi vs Proxmox VE
- Wasabi vs Jaeger
- Wasabi vs Neon
- Wasabi vs Beam Cloud
- Wasabi vs Go
- Wasabi vs Rancher
- Wasabi vs Packer
- Wasabi vs Caddy
- Wasabi vs Longhorn
- Wasabi vs Vault
- Wasabi vs AWS (Amazon Web Services)
- Wasabi vs DigitalOcean
- Wasabi vs Hetzner Cloud
- Wasabi vs Scaleway
- Wasabi vs Linode
- Wasabi vs Vultr
- Wasabi vs Zeabur
- Wasabi vs Porter
- Wasabi vs Contabo
- Wasabi vs Encore
- Wasabi vs Google Cloud Platform
- Wasabi vs Microsoft Azure
- Wasabi vs HAProxy
- Wasabi vs IBM Cloud
- Wasabi vs kind
- Wasabi vs Koyeb
- Wasabi vs Kustomize
- Wasabi vs Linkerd

