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Case Study – Accelerate AI Experimentation by 3000%
October 16, 2020
In this talk, Run:AI CEO and co-founder Omri Geller discusses some of the challenges of AI implementation, and how to speed up delivery of AI.
Reduce Cost by 75% with Fractional GPU for Deep Learning Inference
October 12, 2020
In this post, we’ll address how fractionalizing GPU for deep learning inference workloads with lower computational needs can save 50-75% of the cost of deep
Breaking Static GPU Allocations with Guaranteed Quotas
March 15, 2020
– Dr. Ronen Dar, CTO Run:AI In a previous article, we discussed the problem of machine scheduling and complications that arise from inefficient GPU utilization
How Can IT Support Emerging Data Science Initiatives?
February 28, 2020
This week, Omri Geller, Run:AI’s CEO and cofounder spoke on a webinar about supporting the data science lifecycle. His talk centered on the three areas
Challenges in GPU Machine Scheduling for AI and ML Workloads
December 19, 2019
Dr. Ronen Dar, CTO and co-founder, Run:AI – Like a huge safari animal swatting all day at a pesky fly, sophisticated projects are often hindered
Can New Approaches to GPU Machine Management Speed Delivery of Deep Learning Projects?
December 19, 2019
At the AI Summit in NYC, Omri Geller, Run:AI CEO spoke on the subject of GPU management. This was his session topic: Can New Approaches
Essential Guide to GPU Machine Scheduling
Case Study: London Medical Imaging & AI Centre Speeds Up Research