Optimizing Transformer Fashions for Variable-Size Enter Sequences | by Chaim Rand | Nov, 2024

How PyTorch NestedTensors, FlashAttention2, and xFormers can Increase Efficiency and Cut back AI Prices Photograph by…

Rising Transformer Mannequin Effectivity By Consideration Layer Optimization | by Chaim Rand | Nov, 2024

How paying “higher” consideration can drive ML price financial savings 13 min learn · 10 hours…

On the Programmability of AWS Trainium and Inferentia | by Chaim Rand | Nov, 2024

Accelerating AI/ML Mannequin Coaching with Customized Operators — Half 4 12 min learn · 11 hours…

AI Mannequin Optimization on AWS Inferentia and Trainium | by Chaim Rand | Oct, 2024

Suggestions for accelerating ML with AWS Neuron SDK Photograph by julien Tromeur on Unsplash We’re in…

Implementing Sequential Algorithms on TPU | by Chaim Rand | Oct, 2024

Accelerating AI/ML Mannequin Coaching with Customized Operators — Half 3.A Picture by Bernd Dittrich on Unsplash…

Coaching AI Fashions on CPU. Revisiting CPU for ML in an Period of GPU… | by Chaim Rand | Sep, 2024

Revisiting CPU for ML in an Period of GPU Shortage 13 min learn · 21 hours…

Unleashing the Energy of Triton: Mastering GPU Kernel Optimization in Python | by Chaim Rand | Aug, 2024

Accelerating AI/ML Mannequin Coaching with Customized Operators — Half 2 Photograph by Jas Rolyn on Unsplash…

Accelerating AI/ML Mannequin Coaching with Customized Operators | by Chaim Rand | Aug, 2024

On the potential advantages of making model-specific GPU kernels and their software to optimizing the usage…