Difference between revisions of "AI compute"
KevinYager (talk | contribs) (→Multi-model Web Chat Interfaces) |
KevinYager (talk | contribs) (→Local Router) |
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* [https://ollama.com/ Ollama] | * [https://ollama.com/ Ollama] | ||
* [https://github.com/mudler/LocalAI LocalAI] | * [https://github.com/mudler/LocalAI LocalAI] | ||
| + | * [https://github.com/AK391/ai-gradio ai-gradio]: unified model interface (based on [https://www.gradio.app/ gradio]) | ||
=Acceleration Hardware= | =Acceleration Hardware= | ||
Revision as of 11:19, 3 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)
- 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)
