AI-Powered Kubernetes GPU Optimizer
8.2
A software platform that utilizes AI agents to dynamically manage and optimize GPU resource allocation within Kubernetes clusters, improving AI workload performance and cost-efficiency. It leverages insights from GPU utilization patterns to automatically adjust resource assignments, prioritize tasks, and proactively identify potential bottlenecks. Focused on reducing the 'bus factor' of GPU management.
180h
mvp estimate
8.2
viability grade
9
views
technology stack
Python
Kubernetes
PostgreSQL
Medium