Run:AI
Case Studies
How one company went from 28% GPU utilization to 73% with Run:ai
Overview
How one company went from 28% GPU utilization to 73% with Run:aiRun:AI |
Analytics & Modeling - Machine Learning Application Infrastructure & Middleware - API Integration & Management | |
Software Telecommunications | |
Business Operation Product Research & Development | |
Computer Vision Predictive Maintenance | |
Data Science Services System Integration | |
Operational Impact
The company managed to go from 28% GPU utilization to optimization of over 70%. | |
They achieved a 2X increase in the speed of their training models. | |
The data science teams simplified GPU utilization workflows and increased productivity by 2X, allowing them to more quickly deliver value with deep learning models. | |
Quantitative Benefit
70% Average GPU Utilization, leading to higher ROI. | |
2X Experiments per GPU, leading to better Data Science. | |
Multi-GPU Training by Default, leading to Faster Time to Value. | |