Software · head to head
Anyscale vs Vagrant

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.; Vagrant vagrant 2.4.3 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
- They diverge on capability: Anyscale covers Distributed model training, Vagrant covers Box management.
Where they differ
Only the attributes on which Anyscale and Vagrant actually diverge.
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 Vagrant
- Box management
- Provider support
- Multi-machine setups
- Provisioners
- Networking
- Synced folders
- Snapshots
- Plugins
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Vagrant
- Running batch inference and embedding jobsnot Vagrant
- Preparing multimodal datasets at scalenot Vagrant
- Post-training LLMs with reinforcement learning frameworksnot Vagrant
Vagrant
- Reproducible local development environments defined in a Vagrantfilenot Anyscale
- Provisioning identical VMs across VirtualBox, VMware and Hyper-V for a teamnot Anyscale
- Sandboxing multi-machine setups on a developer laptopnot 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.
Vagrant
- Vagrant 2.4.3 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
- The Additional Use Grant forbids offering Vagrant to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions of Vagrant
- Each version converts to the MPL 2.0 Change License only four years after that version is first published
- Uses that fall outside the Additional Use Grant require a separately negotiated licence from the licensor
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
Vagrant
Free- Open SourceFree
- Development environment provisioning
- Multiple providers
- Provisioner 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 Vagrant if
- You need box management.
- You want to start without paying.
- You work on Linux, Windows, Mac.
- You also want provider support.
Questions people ask
- Is Anyscale or Vagrant better?
- Neither clearly leads. Anyscale starts at Free and Vagrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Vagrant?
- Anyscale starts at Free and Vagrant at Free.
- Does Anyscale or Vagrant run on more platforms?
- Anyscale runs on web, api. Vagrant runs on Linux, Windows, Mac.
- 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 Vagrant is typically brought in for.
- What can Anyscale do that Vagrant cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Vagrant covers Box management, Provider support, Multi-machine setups, Provisioners.
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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