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DeepInfra vs OpenEBS

DeepInfra logo

DeepInfra

Cloud

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

From
$0.08/month
Rated
-
Full reviewWebsite
OpenEBS logo

OpenEBS

Cloud

Open source container-attached storage for Kubernetes

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only OpenEBS has a free tier, so it costs nothing to try first.
  • Each has a real cost: DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.; OpenEBS there is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
  • They diverge on capability: DeepInfra covers Open model hosting, OpenEBS covers Replicated engine.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which DeepInfra and OpenEBS actually diverge.

Attributes where DeepInfra and OpenEBS differ
AttributeDeepInfraOpenEBS
Starting price$0.08/monthFree
Pricing modelusage-basedOpen source, no licence fee
Free tierNoYes
Platformsweb, apiLinux

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 DeepInfra

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

Only in OpenEBS

  • Replicated engine
  • Local PV engines
  • Kubernetes-native management
  • Snapshots and clones
  • No licence fee
  • Hardware independence

What people use each for

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

DeepInfra

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

OpenEBS

  • Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot DeepInfra
  • A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot DeepInfra
  • An edge or lab deployment where a commercial storage licence cannot be justifiednot DeepInfra
  • Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot DeepInfra

Where each one falls short

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

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.

OpenEBS

  • There is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
  • The project has several storage engines with different maturity and different operational characteristics, and choosing the wrong one for your workload produces poor results that look like a product failure.
  • Documentation and upgrade guidance assume real Kubernetes storage knowledge, so teams without that expertise underestimate the operational load they are taking on.
  • Project governance shifted after DataCore acquired MayaData in 2021, which means the direction of a supposedly neutral project is influenced by one commercial sponsor.
  • Disaster recovery, cross-cluster replication and policy-driven data services are thinner than in the commercial alternatives, so organisations with those requirements end up building them or buying a product anyway.

Pricing, plan by plan

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

OpenEBS

Free
  • OpenEBSFree
    • Apache 2.0 licensed
    • All storage engines included
    • No node or capacity limits

Which should you pick?

Choose DeepInfra if

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

Choose OpenEBS if

  • You need replicated engine.
  • You want to start without paying.
  • You work on Linux.
  • You also want local pv engines.
OpenEBS review

Questions people ask

Is DeepInfra or OpenEBS better?
Neither clearly leads. DeepInfra starts at $0.08/month and OpenEBS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepInfra or OpenEBS?
OpenEBS has a free tier; the other does not. Paid plans start at $0.08/month for DeepInfra and Free for OpenEBS.
Does DeepInfra or OpenEBS run on more platforms?
DeepInfra runs on web, api. OpenEBS runs on Linux.
Can I use OpenEBS for free?
Yes. OpenEBS has a free tier, so you can try it without paying. DeepInfra starts at $0.08/month.
What is DeepInfra best used for?
DeepInfra is most often used for running open-source llm inference without managing gpus, serving speech and image generation models via api, cost-sensitive production inference at scale, reserved gpu capacity via deepcluster for steady workloads. Of those, running open-source llm inference without managing gpus and serving speech and image generation models via api are not what OpenEBS is typically brought in for.
What can DeepInfra do that OpenEBS cannot?
DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones.

Answered from the vendors’ own pages

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
OpenEBS: Who supports it in production?

The project is community supported. Commercial support is available from DataCore, which acquired the original sponsor MayaData in 2021. Establish that relationship before production, not during an incident.

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
OpenEBS: Which engine should we use?

If your application replicates its own data, use a Local engine and avoid replicating twice. If it does not, such as with PostgreSQL, use the Replicated engine.

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
OpenEBS: Does it cost anything?

No licence fee. The cost is operational, and a support contract if you want someone accountable.

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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