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Cloud · head to head

containerd vs DeepInfra

containerd logo

containerd

Cloud

Industry-standard container runtime, and the engine inside Docker

From
Free
Rated
-
DeepInfra logo

DeepInfra

Cloud

Low-cost cloud API for running open-source AI models

From
$0.08/month
Rated
-

The short version

  • Only containerd has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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; DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • They diverge on capability: containerd covers Full container lifecycle, DeepInfra covers Open model hosting.

Where they differ

Only the attributes on which containerd and DeepInfra actually diverge.

Attributes where containerd and DeepInfra differ
AttributecontainerdDeepInfra
Starting priceFree$0.08/month
Pricing modelOpen source, no licence feeusage-based
Free tierYesNo
PlatformsLinux, Windowsweb, api

Identical on both: 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 containerd

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

Only in DeepInfra

  • Open model hosting
  • Pay-per-token pricing
  • Long context support
  • DeepCluster
  • Zero retention policy
  • Real-time metrics

What people use each for

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

containerd

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

DeepInfra

  • Running open-source LLM inference without managing GPUsnot containerd
  • Serving speech and image generation models via APInot containerd
  • Cost-sensitive production inference at scalenot containerd
  • Reserved GPU capacity via DeepCluster for steady workloadsnot containerd

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

DeepInfra

  • Focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • Model selection is limited to what DeepInfra chooses to host, unlike self-managed platforms.
  • No published free tier; usage is billed from the first token.

Pricing, plan by plan

containerd

Free
  • containerdFree
    • Full functionality
    • No usage limits
    • Community support

DeepInfra

$0.08/month
  • Pay-as-you-go$undefined/mo
    • Per-model token pricing from $0.08 to $2.85 per million input tokens
    • No long-term contract
  • DeepCluster$1.98/month
    • Dedicated NVIDIA B300 GPU clusters at $1.98/GPU-hour

Which should you pick?

Choose containerd if

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

Choose DeepInfra if

  • You need open model hosting.
  • You work on web, api.
  • You also want pay-per-token pricing.

Questions people ask

Is containerd or DeepInfra better?
Neither clearly leads. containerd starts at Free and DeepInfra at $0.08/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, containerd or DeepInfra?
containerd has a free tier; the other does not. Paid plans start at Free for containerd and $0.08/month for DeepInfra.
Does containerd or DeepInfra run on more platforms?
containerd runs on Linux, Windows. DeepInfra runs on web, api.
Can I use containerd for free?
Yes. containerd has a free tier, so you can try it without paying. DeepInfra starts at $0.08/month.
What is containerd best used for?
containerd is most often used for running the container runtime under a kubernetes cluster after the docker shim removal, building a platform or paas that needs to execute containers, reducing the moving parts on nodes that only ever run kubernetes workloads, embedding container execution inside another product. Of those, running the container runtime under a kubernetes cluster after the docker shim removal and building a platform or paas that needs to execute containers are not what DeepInfra is typically brought in for.
What can containerd do that DeepInfra cannot?
containerd covers Full container lifecycle, CRI support, OCI compliant, Snapshotter plugins. DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster.

Answered from the vendors’ own pages

containerd: Is containerd free?

Yes. It is an open-source CNCF graduated project with no licence fee.

DeepInfra: Is there a free tier on DeepInfra?

No free tier is published; usage is billed pay-as-you-go from the first token, though a credit card or pre-payment is required before you can send requests.

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.

DeepInfra: How is usage priced?

Language models are billed per million input/output tokens, other models by inference execution time, and audio models per minute of audio processed, with no minimum commitment.

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.

DeepInfra: What are the Standard, Priority, and Flex tiers?

Standard is default best-effort pricing at 1x, Priority costs 1.5x for faster time-to-first-token during peak demand, and Flex costs 0.8x for non-production or asynchronous workloads.

Source
containerd: Can containerd build images?

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

DeepInfra: How does billing scale with spend?

Accounts advance through usage tiers as cumulative payments cross $20, $100, $500, $2,000, and $10,000 thresholds, with invoices generated monthly or at each threshold.

Source
DeepInfra: Is there a limit on concurrent requests?

Yes, accounts are limited to 200 concurrent requests by default, though spending limits can also be configured to prevent unexpected charges.

Source
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