Lamini vs Together AI
A side-by-side comparison of Lamini and Together AI, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Lamini | Together AI |
|---|---|---|
| Category (differs) | Fine-tuning | Inference |
| Pricing (differs) | PAID | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms (differs) | Web, API | API |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Lamini | Together |
The honest brief
Lamini
One of the few tuning platforms that runs on AMD GPUs and fully inside your own VPC or on-prem, keeping regulated data off third-party clouds.
- Keeps models and data fully in-house
- Supports AMD GPUs, not just NVIDIA
- Memory tuning to cut hallucinations
- Founded by an MLPerf and ex-NVIDIA team
- Enterprise-focused pricing
- Open models only
- Smaller ecosystem than hyperscalers
Together AI
One stop for the open-model stack: hundreds of open-weights models served plus both LoRA and full fine-tuning.
- LoRA and full fine-tuning
- Competitive inference-at-scale pricing
- OpenAI-compatible API
- Dedicated endpoints + GPU clusters
- Open models only, no frontier closed models
- Less specialized than single-model hosts
- Throughput varies by model demand