Assaf Pinhasi·Jul 20, 2025“The Bitter Lesson” is wrong. Well… sort of.TL;DRA response icon2A response icon2
Assaf Pinhasi·Jun 29, 2024A Simple framework for evaluating ML infra and tooling product ideasimage source
InFeature Stores for MLbyAssaf Pinhasi·Dec 8, 2022Feature pipelines and feature stores — deep dive into system engineering and analytical tradeoffsIntroductionA response icon2A response icon2
Assaf Pinhasi·Nov 23, 2022What I’ve learnt about deep work after years of being distractedWhat is deep work?A response icon1A response icon1
InTDS ArchivebyAssaf Pinhasi·Nov 15, 2022Spark data pipelines in the cloudA response icon1A response icon1
InTDS ArchivebyAssaf Pinhasi·Oct 20, 2022From raw videos to GAN training — implementing a data pipeline and a lightweight Deep Learning…Introduction
InTDS ArchivebyAssaf Pinhasi·Jun 10, 2022Deep Lake — an architectural blueprint for managing Deep Learning data at scale — part IIntroduction
Assaf Pinhasi·Dec 26, 2021What I’ve learnt from two years of being an expert hands-on technology consultantWhat led me here?A response icon5A response icon5
InTDS ArchivebyAssaf Pinhasi·Jul 26, 2021How to run CPU-based Workloads for Deep Learning Using Thousands Of Spot Instances on AWS and GCP…Deep learning is notorious for consuming large amounts of GPU resources during training. However, there are multiple parts within the Deep…
InPyTorchbyAssaf Pinhasi·Jun 29, 2021A Step by Step Guide to Building A Distributed, Spot-based Training Platform on AWS Using…This is part II of a two-part series, describing our solution for running distributed training on spot instances using TorchElastic and…
