Difference between revisions of "AI compute"
KevinYager (talk | contribs) (→Local Router) |
KevinYager (talk | contribs) (→Cloud LLM Routers & Inference Providers) |
||
| (One intermediate revision by the same user not shown) | |||
| Line 17: | Line 17: | ||
* [https://abacus.ai/ Abacus AI] (open and closed models, Enterprise tier) | * [https://abacus.ai/ Abacus AI] (open and closed models, Enterprise tier) | ||
* [https://portkey.ai/ Portkey] (open? and closed models, Enterprise tier) | * [https://portkey.ai/ Portkey] (open? and closed models, Enterprise tier) | ||
| + | * [https://www.together.ai/ Together AI] (open models, Enterprise tier) | ||
| + | * [https://hyperbolic.xyz/ Hyperbolic AI] (open models, Enterprise tier) | ||
* Huggingface [https://huggingface.co/blog/inference-providers Inference Providers Hub] | * Huggingface [https://huggingface.co/blog/inference-providers Inference Providers Hub] | ||
Latest revision as of 20:25, 5 March 2025
Contents
Cloud GPU
Cloud Training Compute
Cloud LLM Routers & Inference Providers
- OpenRouter (open and closed models, no Enterprise tier)
- LiteLLM (closed models, Enterprise tier)
- Cent ML (open models, Enterprise tier)
- Fireworks AI (open models, Enterprise tier)
- Abacus AI (open and closed models, Enterprise tier)
- Portkey (open? and closed models, Enterprise tier)
- Together AI (open models, Enterprise tier)
- Hyperbolic AI (open models, Enterprise tier)
- Huggingface Inference Providers Hub
Multi-model with Model Selection
Multi-model Web Chat Interfaces
Multi-model Web Playground Interfaces
Local Router
Acceleration Hardware
- Nvidia GPUs
- Google TPU
- Etched: Transformer ASICs
- Cerebras
- Untether AI
- Graphcore
- SambaNova Systems
- Groq
- Tesla Dojo
- Deep Silicon: Combined hardware/software solution for accelerated AI (e.g. ternary math)
