Cloud · head to head
Longhorn vs Together AI

Longhorn
Cloud
Open source distributed block storage for Kubernetes, incubating at the CNCF
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Longhorn there is no vendor and no SLA, so a production incident at three in the morning is your own problem unless you buy SUSE Rancher Prime support separately.; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: Longhorn covers Per-volume controllers, 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 Longhorn and Together AI actually diverge.
| Attribute | Longhorn | Together AI |
|---|---|---|
| Pricing model | Open source, no licence fee | usage-based |
| Platforms | Linux, Kubernetes | 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 Longhorn
- Per-volume controllers
- Synchronous replication
- Snapshots and backups
- Volume expansion
- Disaster recovery volumes
- Web interface
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.
Longhorn
- An on-premises Kubernetes cluster with local disks and no SAN that needs replicated persistent volumesnot Together AI
- Edge sites where shipping a storage array is impractical and three nodes is the whole clusternot Together AI
- A K3s deployment where the storage layer must be light enough to run alongside the workloadsnot Together AI
- A team that wants snapshots and S3 backups of persistent volumes without paying per-node storage licencesnot Together AI
Together AI
- LLM inference for production AI applicationsnot Longhorn
- Content generation at scalenot Longhorn
- Code execution and embeddingsnot Longhorn
- Model fine-tuning and trainingnot Longhorn
- Startup and enterprise AI deploymentnot Longhorn
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Longhorn
- There is no vendor and no SLA, so a production incident at three in the morning is your own problem unless you buy SUSE Rancher Prime support separately.
- Synchronous replication across nodes means write latency depends on the slowest replica and the network between nodes, which makes it a poor fit for latency-sensitive databases.
- Every replica is a full copy, so three-way replication consumes three times the raw capacity, unlike erasure-coded systems that are far more space efficient.
- It is designed for block storage on modest clusters and does not scale to the node counts or throughput that Ceph or a commercial array handles, so growth eventually forces a migration.
- Recovery from certain degraded states, such as a volume stuck detaching or replicas failing to rebuild, requires manual intervention and knowledge of Longhorn internals that is not widely held.
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
Longhorn
Free- LonghornFree
- Apache 2.0 licensed, no licence fee
- Community support via GitHub and Slack only
- No vendor SLA or escalation path
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 Longhorn if
- You need per-volume controllers.
- You want to start without paying.
- You work on Linux, Kubernetes.
- You also want synchronous replication.
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 Longhorn or Together AI better?
- Neither clearly leads. Longhorn 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, Longhorn or Together AI?
- Longhorn starts at Free and Together AI at Free.
- Does Longhorn or Together AI run on more platforms?
- Longhorn runs on Linux, Kubernetes. Together AI runs on Api, Cloud.
- Can I use Longhorn for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Longhorn best used for?
- Longhorn is most often used for an on-premises kubernetes cluster with local disks and no san that needs replicated persistent volumes, edge sites where shipping a storage array is impractical and three nodes is the whole cluster, a k3s deployment where the storage layer must be light enough to run alongside the workloads, a team that wants snapshots and s3 backups of persistent volumes without paying per-node storage licences. Of those, an on-premises kubernetes cluster with local disks and no san that needs replicated persistent volumes and edge sites where shipping a storage array is impractical and three nodes is the whole cluster are not what Together AI is typically brought in for.
- What can Longhorn do that Together AI cannot?
- Longhorn covers Per-volume controllers, Synchronous replication, Snapshots and backups, Volume expansion. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Longhorn: Who do we call when it breaks?
Nobody, unless you buy SUSE Rancher Prime, which includes commercial support for Longhorn. This is the decisive question for production use.
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.
SourceLonghorn: How much capacity does replication cost?
Full copies, so three replicas means three times the raw capacity. Budget accordingly rather than assuming erasure coding efficiency.
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.
SourceLonghorn: Is it suitable for production databases?
For modest workloads yes, but synchronous replication adds write latency and high-transaction databases usually want something faster.
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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