Llama.cpp fork with 2-4x multiGPU speed for MoE models bigger than VRAM
What it is
What it does
Fork off LLama cpp that newly scales GPU 2x 4x etc also on big models not fully fitting in vram.
Problem
It addresses the limitation of running big models that do not fully fit in VRAM.
Competition
The niche may be moderately saturated as it deals with GPU scaling for large models, but specific competitors are not identified.
Weaknesses
null
What could be built instead
Opportunity
Improvement in GPU optimization for even larger models and better user interface.
MVP
A minimal viable product could be a basic version of the GPU scaling functionality.
Differentiation
The product can differ by offering 2-4x multiGPU speed scaling for large models.
AI opportunity
AI can create value by enhancing processing power for MoE models that require extensive GPU resources.