Inference hosting
Groq
Custom inference hardware built for very high tokens-per-second on open-weight models.
- Category
- Inference hosting
- Pricing
- Usage-based
- Runs
- Hosted
- Interface
- API
- Source
- Proprietary
What Groq is
Groq designed its own inference hardware rather than using GPUs, and competes on latency and tokens per second rather than model capability. For interactive interfaces where waiting is the worst part of the experience, that speed changes what the product feels like. The catalogue is a curated set of open-weight models.
Best for
Interactive products where response speed matters more than reaching for the strongest model.
Consider something else if
A fixed catalogue — you cannot bring your own weights, and the frontier models are not on it.
Groq alternatives
The closest options in inference hosting, on the axes that actually separate them.
| Tool | Best for | Pricing | Runs |
|---|---|---|---|
| Groq | Interactive products where response speed matters more than reaching for the strongest model. | Usage-based | Hosted |
| Together AI | Breadth of open-weight models in one place, and going from fine-tune to served endpoint without changing vendor. | Usage-based | Hosted |
| Fireworks AI | Serving many fine-tuned variants where a dedicated deployment each would not pay. | Usage-based | Hosted |
| Baseten | Putting a custom or fine-tuned model into production as a real endpoint with monitoring and autoscaling. | Usage-based | Hosted |
| Modal | Custom inference code, batch GPU work, and anything a fixed endpoint cannot express. | Usage-based | Hosted |
| Replicate | Multi-modal work and trying many community models without deploying any of them yourself. | Usage-based | Hosted |
Choosing within inference hosting
Per token or per second
Per-token endpoints are simple and idle for free. Per-second compute is more flexible and bills for cold starts and idle capacity unless you scale to zero. Pick by whether you need custom code in the loop.
Cold starts
Serverless GPU means a container that may not be running. First-request latency after idle can be seconds. Check whether the provider offers warm pools and what keeping one costs.
Questions
What is Groq?
Groq designed its own inference hardware rather than using GPUs, and competes on latency and tokens per second rather than model capability. For interactive interfaces where waiting is the worst part of the experience, that speed changes what the product feels like. The catalogue is a curated set of open-weight models. It is a commercial product and hosted.
What are the alternatives to Groq?
The closest alternatives are Together AI, Fireworks AI, Baseten, Modal, Replicate. They sit in the same category — inference hosting — and differ mainly on hosting model, pricing shape, and how much they abstract away.
Is Groq the right choice?
Interactive products where response speed matters more than reaching for the strongest model. The main caveat: A fixed catalogue — you cannot bring your own weights, and the frontier models are not on it.
Whatever you build on, the model is the line item that scales. See what each one costs per million tokens, or price your own workload.