Difference between revisions of "AI compute"
KevinYager (talk | contribs) (→Cloud LLM Routers & Inference Providers) |
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==Multi-model Web Chat Interfaces== | ==Multi-model Web Chat Interfaces== | ||
* [https://simtheory.ai/ SimTheory] | * [https://simtheory.ai/ SimTheory] | ||
− | * [https://abacus.ai/ Abacus AI] | + | * [https://abacus.ai/ Abacus AI] [https://chatllm.abacus.ai/ ChatLLM] |
==Multi-model Web Playground Interfaces== | ==Multi-model Web Playground Interfaces== |
Revision as of 10:43, 26 February 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)