The Run:AI platform, now supporting Kubernetes, brings control and visibility to IT teams supporting data science initiatives Tel Aviv — 17 March, 2020 — Run:AI,
– Dr. Ronen Dar, CTO Run:AI In a previous article, we discussed the problem of machine scheduling and complications that arise from inefficient GPU allocations.
This week, Omri Geller, Run:AI’s CEO and cofounder spoke on a webinar about supporting DS initiatives. His talk centered on the three areas where IT
We Open-Sourced a Gradient Accumulation Tool to Enable Using Large Batch Sizes Even When GPU Memory is Limited
Today, Run:AI published our own gradient accumulation mechanism for Keras – it’s a generic implementation, that can wrap any Keras optimizer (both a built-in one