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Cloud · head to head

Anyscale vs containerd

Anyscale logo

Anyscale

Cloud

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

From
Free
Rated
-
Full reviewWebsite
containerd logo

containerd

Cloud

Industry-standard container runtime, and the engine inside Docker

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; containerd not a developer-facing tool: there is no build command and the CLI is deliberately minimal, so it needs companions like nerdctl or Buildah
  • They diverge on capability: Anyscale covers Distributed model training, containerd covers Full container lifecycle.

Where they differ

Only the attributes on which Anyscale and containerd actually diverge.

Attributes where Anyscale and containerd differ
AttributeAnyscalecontainerd
Pricing modelusage-basedOpen source, no licence fee
Platformsweb, apiLinux, Windows

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 containerd

  • Full container lifecycle
  • CRI support
  • OCI compliant
  • Snapshotter plugins
  • Namespaces
  • Stable API

What people use each for

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

Anyscale

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

containerd

  • Running the container runtime under a Kubernetes cluster after the Docker shim removalnot Anyscale
  • Building a platform or PaaS that needs to execute containersnot Anyscale
  • Reducing the moving parts on nodes that only ever run Kubernetes workloadsnot Anyscale
  • Embedding container execution inside another productnot 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.

containerd

  • Not a developer-facing tool: there is no build command and the CLI is deliberately minimal, so it needs companions like nerdctl or Buildah
  • Debugging is lower-level than Docker, and error messages assume knowledge of the runtime internals
  • Documentation is aimed at platform engineers, so newcomers usually find Docker or Podman material more useful
  • No image building at all — that is out of scope by design

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

containerd

Free
  • containerdFree
    • 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.
Anyscale review

Choose containerd if

  • You need full container lifecycle.
  • You want to start without paying.
  • You work on Linux, Windows.
  • You also want cri support.
containerd review

Questions people ask

Is Anyscale or containerd better?
Neither clearly leads. Anyscale starts at Free and containerd at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or containerd?
Anyscale starts at Free and containerd at Free.
Does Anyscale or containerd run on more platforms?
Anyscale runs on web, api. containerd runs on Linux, Windows.
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 containerd is typically brought in for.
What can Anyscale do that containerd cannot?
Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. containerd covers Full container lifecycle, CRI support, OCI compliant, Snapshotter plugins.

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
containerd: Is containerd free?

Yes. It is an open-source CNCF graduated project 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
containerd: Do I need containerd if I use Docker?

You already have it. Docker uses containerd underneath to run containers; it is not an alternative you install separately.

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
containerd: Why did Kubernetes drop Docker for containerd?

Kubernetes talks to runtimes through the Container Runtime Interface. Docker did not speak CRI natively and needed a shim, so Kubernetes removed the shim and talks to containerd directly, which Docker was already using anyway.

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
containerd: Can containerd build images?

No. Image building is deliberately out of scope. Tools such as Buildah, BuildKit or Docker handle that.

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