Hyperbolic vs Together AI
A side-by-side comparison of Hyperbolic and Together AI, two Inference tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Hyperbolic
Runs partly as a GPU marketplace renting idle H100/H200s, which is how its open-model inference undercuts centralized clouds.
- Serverless inference + GPU marketplace
- On-demand H100/H200 GPU rentals
- OpenAI-compatible API
- Open models: Llama, Qwen, DeepSeek, FLUX
- Marketplace supply reliability varies
- Open-weights only, no frontier closed models
- Smaller/newer than AWS-scale clouds
- Less enterprise tooling
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