Software · head to head
Anyscale vs Vultr

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.; Vultr vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan
- They diverge on capability: Anyscale covers Distributed model training, Vultr covers Cloud servers.
Where they differ
Only the attributes on which Anyscale and Vultr 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 Vultr
- Cloud servers
- Bare metal servers
- Block storage
- Object storage
- Load balancers
- Kubernetes
- Firewalls
- Private networks
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Vultr
- Running batch inference and embedding jobsnot Vultr
- Preparing multimodal datasets at scalenot Vultr
- Post-training LLMs with reinforcement learning frameworksnot Vultr
Vultr
- High performance computingnot Anyscale
- Game serversnot Anyscale
- Streamingnot Anyscale
- Database hostingnot Anyscale
- Application serversnot 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.
Vultr
- Vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan
Pricing, plan by plan
Anyscale
Free- Pay-as-you-go$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
Vultr
Free- Cloud Compute$2.5/month
- 512MB RAM
- 10GB SSD
- 500GB bandwidth
- Bare Metal$32/month
- Dedicated hardware
- High performance
- Full root access
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 Vultr if
- You need cloud servers.
- You want to start without paying.
- You work on Web, Api, Cli.
- You also want bare metal servers.
Questions people ask
- Is Anyscale or Vultr better?
- Neither clearly leads. Anyscale starts at Free and Vultr at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Vultr?
- Anyscale starts at Free and Vultr at Free.
- Does Anyscale or Vultr run on more platforms?
- Anyscale runs on web, api. Vultr runs on Web, Api, Cli.
- 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 Vultr is typically brought in for.
- What can Anyscale do that Vultr cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Vultr covers Cloud servers, Bare metal servers, Block storage, Object storage.
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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