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Cloud · head to head

Anyscale vs Buildah

Anyscale logo

Anyscale

Cloud

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

From
Free
Rated
-
Buildah logo

Buildah

Cloud

Build OCI container images without a daemon or a Dockerfile

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.; Buildah linux only, with no native macOS or Windows support
  • They diverge on capability: Anyscale covers Distributed model training, Buildah covers Daemonless builds.

Where they differ

Only the attributes on which Anyscale and Buildah actually diverge.

Attributes where Anyscale and Buildah differ
AttributeAnyscaleBuildah
Pricing modelusage-basedOpen source, no licence fee
Platformsweb, apiLinux

Identical on both: starting price (Free), free tier (Yes), 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 Buildah

  • Daemonless builds
  • Rootless
  • Dockerfile compatible
  • Scriptable builds

What people use each for

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

Anyscale

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

Buildah

  • Building images in CI without a privileged Docker daemonnot Anyscale
  • Producing minimal images with tighter layer control than a Dockerfile givesnot Anyscale
  • Scripted image assembly where a Dockerfile is the wrong abstractionnot 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.

Buildah

  • Linux only, with no native macOS or Windows support
  • Scriptable builds are powerful but less portable and less familiar than a Dockerfile
  • Narrow by design: it builds images and does not run them, so it needs Podman or another runtime alongside

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

Buildah

Free
  • BuildahFree
    • Full functionality
    • No usage limits
    • Community 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 Buildah if

  • You need daemonless builds.
  • You want to start without paying.
  • You work on Linux.
  • You also want rootless.

Questions people ask

Is Anyscale or Buildah better?
Neither clearly leads. Anyscale starts at Free and Buildah at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or Buildah?
Anyscale starts at Free and Buildah at Free.
Does Anyscale or Buildah run on more platforms?
Anyscale runs on web, api. Buildah runs on Linux.
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 Buildah is typically brought in for.
What can Anyscale do that Buildah cannot?
Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Buildah covers Daemonless builds, Rootless, Dockerfile compatible, Scriptable builds.

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
Buildah: Is Buildah free?

Yes, open source with no licence fee.

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
Buildah: Do I still need a Dockerfile?

No. Buildah reads Dockerfiles if you have them, but images can be built entirely from shell commands instead.

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
Buildah: How is Buildah different from Podman?

Buildah builds images; Podman runs them. Podman actually embeds Buildah for its build command, and the two are designed to be used together.

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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