Cloud · head to head
OpenEBS vs Together AI
The short version
- Each has a real cost: 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.; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: OpenEBS covers Replicated engine, 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 OpenEBS and Together AI actually diverge.
| Attribute | OpenEBS | Together AI |
|---|---|---|
| Pricing model | Open source, no licence fee | usage-based |
| Platforms | Linux | Api, Cloud |
| Category | Cloud | AI |
| Founded | Unknown | 2022 |
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 OpenEBS
- Replicated engine
- Local PV engines
- Kubernetes-native management
- Snapshots and clones
- No licence fee
- Hardware independence
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.
OpenEBS
- Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot Together AI
- A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot Together AI
- An edge or lab deployment where a commercial storage licence cannot be justifiednot Together AI
- Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot Together AI
Together AI
- LLM inference for production AI applicationsnot OpenEBS
- Content generation at scalenot OpenEBS
- Code execution and embeddingsnot OpenEBS
- Model fine-tuning and trainingnot OpenEBS
- Startup and enterprise AI deploymentnot OpenEBS
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
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
OpenEBS
Free- OpenEBSFree
- Apache 2.0 licensed
- All storage engines included
- No node or capacity limits
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 OpenEBS if
- You need replicated engine.
- You want to start without paying.
- You work on Linux.
- You also want local pv engines.
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.
Questions people ask
- Is OpenEBS or Together AI better?
- Neither clearly leads. OpenEBS 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, OpenEBS or Together AI?
- OpenEBS starts at Free and Together AI at Free.
- Does OpenEBS or Together AI run on more platforms?
- OpenEBS runs on Linux. Together AI runs on Api, Cloud.
- Can I use OpenEBS for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is OpenEBS best used for?
- OpenEBS is most often used for running cassandra or kafka on kubernetes where the application already replicates and node-local volumes are sufficient, a platform team that needs persistent volumes on bare metal kubernetes without a per node subscription, an edge or lab deployment where a commercial storage licence cannot be justified, replacing hostpath volumes with something that has snapshots and a container storage interface driver. Of those, running cassandra or kafka on kubernetes where the application already replicates and node-local volumes are sufficient and a platform team that needs persistent volumes on bare metal kubernetes without a per node subscription are not what Together AI is typically brought in for.
- What can OpenEBS do that Together AI cannot?
- OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
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.
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.
SourceOpenEBS: 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.
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.
SourceOpenEBS: Does it cost anything?
No licence fee. The cost is operational, and a support contract if you want someone accountable.
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.
SourceTogether 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.
SourceRelated pages
More on Together AI
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