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Software · head to head

Anyscale vs Nomad

Anyscale logo

Anyscale

Software

Platform for scaling AI and data workloads on Ray, built by Ray's creators

From
Free
Rated
-
Nomad logo

Nomad

Software

Flexible workload orchestration

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.; Nomad nomad 1.7.0 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, Nomad covers Container orchestration.

Where they differ

Only the attributes on which Anyscale and Nomad actually diverge.

Attributes where Anyscale and Nomad differ
AttributeAnyscaleNomad
Pricing modelusage-basedopen-source
Platformsweb, apiLinux, Windows, Mac, Cloud
FoundedUnknown2015

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 Nomad

  • Container orchestration
  • Job scheduling
  • Multi-cloud support
  • Auto-scaling
  • Service discovery
  • Rolling deployments
  • Monitoring integration
  • High availability

What people use each for

The jobs each tool is most often brought in to do.

Anyscale

  • Training large models on distributed GPU clustersnot Nomad
  • Running batch inference and embedding jobsnot Nomad
  • Preparing multimodal datasets at scalenot Nomad
  • Post-training LLMs with reinforcement learning frameworksnot Nomad

Nomad

  • Scheduling containers, binaries, Java and VM workloads on the same clusternot Anyscale
  • Running an orchestrator with a single binary and no external dependenciesnot Anyscale
  • Batch and edge workload scheduling across multiple datacentresnot 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.

Nomad

  • Nomad 1.7.0 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 Nomad to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions
  • Each version converts to MPL 2.0 only four years after that version is published
  • Resource quotas, Sentinel policies and audit logging sit in a Governance and Policy add-on module that is separate from the Enterprise base platform package
  • Multi-region deployments, multiple Vault namespaces and Nomad Autopilot advanced server management require Nomad Enterprise

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

Nomad

Free
  • Open SourceFree
    • Workload orchestration
    • Multi-cloud
    • Flexible scheduling

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 Nomad if

  • You need container orchestration.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Cloud.
  • You also want job scheduling.

Questions people ask

Is Anyscale or Nomad better?
Neither clearly leads. Anyscale starts at Free and Nomad at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or Nomad?
Anyscale starts at Free and Nomad at Free.
Does Anyscale or Nomad run on more platforms?
Anyscale runs on web, api. Nomad runs on Linux, Windows, Mac, Cloud.
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 Nomad is typically brought in for.
What can Anyscale do that Nomad cannot?
Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Nomad covers Container orchestration, Job scheduling, Multi-cloud support, Auto-scaling.

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.

Source
Anyscale: 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.

Source
Anyscale: 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.

Source
Anyscale: 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.

Source
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