Difference between revisions of "AI compute"
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* [https://glaive.ai/ Glaive AI] | * [https://glaive.ai/ Glaive AI] | ||
| − | ==Cloud LLM Routers== | + | ==Cloud LLM Routers & Inference Providers== |
* [https://openrouter.ai/ OpenRouter] | * [https://openrouter.ai/ OpenRouter] | ||
* [https://www.litellm.ai/ LiteLLM] | * [https://www.litellm.ai/ LiteLLM] | ||
| + | * [https://centml.ai/ Cent ML] | ||
| + | * [https://fireworks.ai/ Fireworks AI] | ||
| + | * Huggingface [https://huggingface.co/blog/inference-providers Inference Providers Hub] | ||
| + | |||
| + | ===Multi-model Web Chat Interfaces=== | ||
| + | * [https://simtheory.ai/ SimTheory] | ||
| + | * [https://abacus.ai/ Abacus AI] | ||
==Acceleration Hardware== | ==Acceleration Hardware== | ||
Latest revision as of 09:08, 2 February 2025
Contents
Cloud GPU
Cloud Training Compute
Cloud LLM Routers & Inference Providers
- OpenRouter
- LiteLLM
- Cent ML
- Fireworks AI
- Huggingface Inference Providers Hub
Multi-model Web Chat Interfaces
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)
