Chaim RandinTowards Data ScienceMulti-Framework AI/ML Development with Keras 3All hail the return of KerasJun 16Jun 16
Chaim RandinTowards Data ScienceAI Model Training with JAXHit the road to super-fast AI/ML developmentMay 29May 29
Chaim RandinTowards Data SciencePyTorch Native FP8Accelerating PyTorch Training Workloads with FP8 — Part 2May 21May 21
Chaim RandinTowards Data ScienceA Priority Based Scheduler for Amazon SageMaker Training JobsOptimizing the use of limited AI training accelerators — Part 2Mar 8Mar 8
Chaim RandRetaining Amazon SageMaker Instance Capacity with SageMaker Managed Warm PoolsAn Alternative Solution to Cloud Instance ReservationFeb 27Feb 27
Chaim RandinTowards Data ScienceMaximizing the Utility of Scarce AI Resources: A Kubernetes ApproachOptimizing the use of limited AI training acceleratorsFeb 131Feb 131
Chaim RandinTowards Data ScienceHow to Implement a Custom Training Solution Based on Amazon EC2A Simple Solution for Managing Cloud-Based ML-Training — Part 2Jan 301Jan 301
Chaim RandinTowards Data ScienceOptimizing Instance Type Selection for AI Development in Cloud Spot MarketsInstance Selection for Deep Learning — Part 2Jan 22Jan 22
Chaim RandinTowards Data ScienceDebugging and Tuning Amazon SageMaker Training Jobs with SageMaker SSH HelperA new tool that increases the debuggability of managed training workloadsDec 27, 20231Dec 27, 20231
Chaim RandinTowards Data ScienceA Simple Solution for Managing Cloud-Based ML-TrainingHow to Implement a Custom Training Solution Using Basic (Unmanaged) Cloud Service APIsDec 21, 2023Dec 21, 2023