Cloud · head to head
Nomad vs Together AI
The short version
- Each has a real cost: Nomad nomad 1.7.0 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: Nomad covers Container orchestration, Together AI covers Open-source models.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Nomad and Together AI actually diverge.
| Attribute | Nomad | Together AI |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Linux, Windows, Mac, Cloud | Api, Cloud |
| Category | Cloud | AI |
| Founded | 2015 | 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 Nomad
- Container orchestration
- Job scheduling
- Multi-cloud support
- Auto-scaling
- Service discovery
- Rolling deployments
- Monitoring integration
- High availability
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.
Nomad
- Container and workload orchestration across infrastructurenot Together AI
- Multi-region application deploymentnot Together AI
- Flexible scheduling for batch jobs and servicesnot Together AI
Together AI
- LLM inference for production AI applicationsnot Nomad
- Content generation at scalenot Nomad
- Code execution and embeddingsnot Nomad
- Model fine-tuning and trainingnot Nomad
- Startup and enterprise AI deploymentnot Nomad
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Nomad
- Nomad 1.7.0 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
- The Additional Use Grant forbids offering Nomad to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions
- Each version converts to MPL 2.0 only four years after that version is published
- Resource quotas, Sentinel policies and audit logging sit in a Governance and Policy add-on module that is separate from the Enterprise base platform package
- Multi-region deployments, multiple Vault namespaces and Nomad Autopilot advanced server management require Nomad Enterprise
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
Nomad
Free- Open SourceFree
- Workload orchestration
- Multi-cloud
- Flexible scheduling
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 Nomad if
- You need container orchestration.
- You want to start without paying.
- You work on Linux, Windows, Mac, Cloud.
- You also want job scheduling.
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 Nomad or Together AI better?
- Neither clearly leads. Nomad 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, Nomad or Together AI?
- Nomad starts at Free and Together AI at Free.
- Does Nomad or Together AI run on more platforms?
- Nomad runs on Linux, Windows, Mac, Cloud. Together AI runs on Api, Cloud.
- Can I use Nomad for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Nomad best used for?
- Nomad is most often used for container and workload orchestration across infrastructure, multi-region application deployment, flexible scheduling for batch jobs and services. Of those, container and workload orchestration across infrastructure and multi-region application deployment are not what Together AI is typically brought in for.
- What can Nomad do that Together AI cannot?
- Nomad covers Container orchestration, Job scheduling, Multi-cloud support, Auto-scaling. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Nomad: Is HashiCorp Nomad free?
HashiCorp Nomad is open source and free to use. Commercial enterprise support and hosting options may be available through HashiCorp, but the core product is free.
SourceTogether 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.
SourceNomad: Does HashiCorp Nomad have a pricing model?
Nomad is open source software with no published pricing tiers. HashiCorp offers commercial hosting and support for their products on a usage-based or custom pricing model, but Nomad itself is free to download and deploy.
SourceTogether 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.
SourceNomad: What is HashiCorp's pricing model for enterprise Nomad?
HashiCorp offers flexible pricing for enterprise Nomad support including pay-as-you-go (PAYG) billing with no long-term commitment, flex plans with preferred pricing, and enterprise self-managed plans. Contact HashiCorp sales for custom quotes.
SourceTogether 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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