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Software · head to head

Anyscale vs Packer

Anyscale logo

Anyscale

Software

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

From
Free
Rated
-
P

Packer

Software

Build automated machine images

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.; Packer packer 1.10.0 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, Packer covers Image building.

Where they differ

Only the attributes on which Anyscale and Packer actually diverge.

Attributes where Anyscale and Packer differ
AttributeAnyscalePacker
Pricing modelusage-basedopen-source
Platformsweb, apiLinux, Windows, Mac
FoundedUnknown2013

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 Packer

  • Image building
  • Multi-platform support
  • Provisioners
  • Builders
  • Post-processors
  • Variables
  • Data sources
  • Validation

What people use each for

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

Anyscale

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

Packer

  • Building identical machine images for multiple clouds from one templatenot Anyscale
  • Baking golden AMIs and VM images into a CI pipelinenot Anyscale
  • Creating immutable infrastructure artifacts consumed by Terraformnot 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.

Packer

  • Packer 1.10.0 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 Packer to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions of Packer
  • Each version converts to the MPL 2.0 Change License only four years after that version is first published, and the Change Date is set separately per version
  • Alternative licensing for uses outside the grant must be arranged with the licensor rather than taken under the public licence

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

Packer

Free
  • Open SourceFree
    • Multi-platform image building
    • Template-driven
    • 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 Packer if

  • You need image building.
  • You want to start without paying.
  • You work on Linux, Windows, Mac.
  • You also want multi-platform support.

Questions people ask

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

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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