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Rook vs Together AI

Rook logo

Rook

Cloud

Kubernetes operator that deploys and manages Ceph storage clusters

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Rook rook automates Ceph but does not abstract it, so an incident still demands Ceph expertise, and organisations without it end up hiring consultants at exactly the wrong moment.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Rook covers Ceph operator, Together AI covers Open-source models.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Rook and Together AI actually diverge.

Attributes where Rook and Together AI differ
AttributeRookTogether AI
Pricing modelOpen source, no licence feeusage-based
PlatformsLinux, KubernetesApi, Cloud
CategoryCloudAI
FoundedUnknown2022

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Rook

  • Ceph operator
  • Block, file and object
  • Erasure coding
  • CSI driver
  • Automated upgrades
  • Multi-cluster mirroring

Only in Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

What people use each for

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

Rook

  • An on-premises Kubernetes platform needing block, shared filesystem and S3 storage without buying three productsnot Together AI
  • A team that already runs Ceph and wants its lifecycle managed declaratively inside Kubernetesnot Together AI
  • A large cluster where three-way replication overhead is unaffordable and erasure coding is requirednot Together AI
  • An organisation building a private cloud that cannot use managed cloud storage services for residency reasonsnot Together AI

Together AI

  • LLM inference for production AI applicationsnot Rook
  • Content generation at scalenot Rook
  • Code execution and embeddingsnot Rook
  • Model fine-tuning and trainingnot Rook
  • Startup and enterprise AI deploymentnot Rook

Where each one falls short

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

Rook

  • Rook automates Ceph but does not abstract it, so an incident still demands Ceph expertise, and organisations without it end up hiring consultants at exactly the wrong moment.
  • There is no vendor and no SLA; the realistic commercial support routes are IBM Red Hat OpenShift Data Foundation or an independent Ceph consultancy, both of which change the cost picture entirely.
  • Ceph is resource hungry, needing substantial memory and dedicated disks per OSD, so the hardware cost of a properly sized cluster is often underestimated.
  • Recovery and rebalancing after a disk or node failure generates heavy background input and output that can degrade application performance for hours, which surprises teams sizing for steady state.
  • Minimum viable clusters require several nodes with several disks each, so it is impractical at small scale and the entry hardware cost exceeds simpler alternatives.

Together AI

  • Free tier limits not clearly specified in pricing documentation
  • Pricing varies significantly by model and use case
  • Requires account setup for production access
  • Batch API discounts apply only to non-urgent workloads

Pricing, plan by plan

Rook

Free
  • RookFree
    • Apache 2.0 licensed, no licence fee
    • Graduated CNCF project
    • Community support via GitHub and Slack only

Together AI

Free
  • Serverless Inference$0.03/1M input tokens
    • Chat and Vision models
    • Image generation
    • Video generation
  • Provisioned Throughput$21600/month
    • Up to 83% savings vs commercial alternatives
    • Reserved capacity
    • Guaranteed throughput
  • Dedicated Inference$5.49/hour
    • H100 GPU instance
    • Single-tenant deployment
    • No resource sharing
  • GPU Clusters$3.99/GPU-hour
    • On-demand capacity
    • Volume discounts available
    • Reserved options with up to 35% savings

Which should you pick?

Choose Rook if

  • You need ceph operator.
  • You want to start without paying.
  • You work on Linux, Kubernetes.
  • You also want block, file and object.
Rook review

Choose Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.
Together AI review

Questions people ask

Is Rook or Together AI better?
Neither clearly leads. Rook starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Rook or Together AI?
Rook starts at Free and Together AI at Free.
Does Rook or Together AI run on more platforms?
Rook runs on Linux, Kubernetes. Together AI runs on Api, Cloud.
Can I use Rook for free?
Both have a free tier, so you can try either at no cost before committing.
What is Rook best used for?
Rook is most often used for an on-premises kubernetes platform needing block, shared filesystem and s3 storage without buying three products, a team that already runs ceph and wants its lifecycle managed declaratively inside kubernetes, a large cluster where three-way replication overhead is unaffordable and erasure coding is required, an organisation building a private cloud that cannot use managed cloud storage services for residency reasons. Of those, an on-premises kubernetes platform needing block, shared filesystem and s3 storage without buying three products and a team that already runs ceph and wants its lifecycle managed declaratively inside kubernetes are not what Together AI is typically brought in for.
What can Rook do that Together AI cannot?
Rook covers Ceph operator, Block, file and object, Erasure coding, CSI driver. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Rook: Who supports it in production?

Nobody by default. IBM sells Red Hat OpenShift Data Foundation, which is supported Rook and Ceph, and independent consultancies sell Ceph support. Decide this before deployment.

Together AI: Does Together AI offer a free tier?

Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.

Source
Rook: Does it need Ceph knowledge?

Yes. Rook handles deployment and routine operations, but troubleshooting a degraded cluster is a Ceph skill and there is no way around it.

Together AI: What are Together AI's highest model prices?

Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.

Source
Rook: Can it replace an object storage appliance?

Functionally yes, through the RADOS gateway, but you take on the operations that an appliance vendor would otherwise carry.

Together AI: How much can I save with Provisioned Throughput?

Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.

Source
Together AI: What is Together AI's fine-tuning pricing?

Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.

Source
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