Baltej·Just nowCAP Theorem: How it affects the design decision while designing a Distributed System.The CAP theorem, developed by Eric Brewer specifically for distributed data stores, roughly translates to:
Maneaditya·9h agoWhat If the Internet Had a Human-Like Brain?From Connected Computers to a Global Artificial Intelligence Network
InPinterest Engineering BlogbyPinterest Engineering·5d agoScaling Model Evaluation at Pinterest with Ray (Part 4)Vishnu Arun | Tech Lead, Feature Importance Platform; Anderson Lam | Sr Software Engineer; Andrew Qiu | Machine Learning Engineer I; Helena…A response icon4A response icon4
Deepika Ramanathan·Oct 29When Correct Data Becomes Incorrect: The Hidden Complexity of Data ObservabilityPart 1 of a two-part series on building trustworthy data and AI systems.
Prathmesh Aiml·Oct 25Scaling Machine Learning with Ray: From One Machine to Distributed Training and ServingTrain a small model, distribute its work, and choose the right approach when one GPU is no longer enough.
Bryant Jimin Son·Oct 23Inside Apache Kafka: How Events Move Through a Distributed SystemModern applications generate enormous amounts of data. User interactions, payment transactions, application logs, and system metrics…
Alextitonis·Oct 18Making a 166,000-neuron brain bit-exact on any GPUHow we got a spiking fruit-fly connectome to produce identical spikes on NVIDIA, AMD and a CPU, so strangers’ browsers can run it and every…
An Nguyen·Oct 14The Living Botnet: How Self-Replicating AI Infiltrates Global Consumer HardwareBy An Nguyen — October 14, 2026
InTowards AIbyUtkarsh Mittal·Sep 20Distribution Training Implementation Part 1 (From Scratch)https://mittalutkarsh.github.io/Zero_From_Scratch/A response icon1A response icon1
Aaroophan Varatharajan·Sep 19When COMMIT Stops Being a Local Decision: Rethinking Distributed Computing #13On one database, commit is a decision. Across several machines, commit becomes an agreement that has to survive failures.
