What it is
What it does
GridCore shares one 16 GB GPU between chat, agents and background jobs.
Problem
The problem solved is the efficient sharing of GPU resources among multiple applications.
Who pays
Developers and companies using local LLMs.
Competition
The niche may be somewhat saturated as there are existing solutions for GPU scheduling, but specific emphasis on local LLMs could differentiate it.
Weaknesses
bugs only real hardware showed
What could be built instead
Opportunity
Improving the design rules and addressing the bugs revealed during real hardware usage.
Vertical niche
Yes, it can be a vertical SaaS focused on GPU resource management for AI applications.
MVP
A basic version that manages GPU scheduling for multiple applications.
Differentiation
The product can differ by its focus on sharing GPU resources specifically for local LLMs.
AI opportunity
AI can create real value by optimizing GPU usage in real-time for various tasks.