Exabits and MyShell's Breakthrough: From Billions to $100K in LLM Training Costs
The efficiency of JetMoE-8B, with its 2.2 billion activation parameters, significantly lowered training costs while delivering robust performance.
- The efficiency of JetMoE-8B, with its 2.2 billion activation parameters, significantly lowered training costs while delivering robust performance.
- But what superpowers this architectural sophistication is Exabits' contribution of an accelerated and stabilized cluster of 12 H100 GPU nodes (96 GPUs).
- Exabits has disproved the skepticism that decentralized GPU platforms are unsuitable for LLM training.
- Exabits is not just a technological platform; it is a beacon for the future of LLM training, embodying affordability, accessibility, and environmental consciousness.