Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
How the NVIDIA GPU Operator turns drivers, container toolkit, device plugin, GFD, DCGM, and MIG into DaemonSets reconciling from a ClusterPolicy — boot order, request path, sharing modes, and ops traps.
18 min read · intermediate
Explore modern C++ features including auto, lambdas, ranges, and coroutines. Learn how C++11/14/17/20 transformed the language.
4 min read
Learn how memory controllers manage CPU-RAM data flow. Interactive demos of channels, ranks, banks, and command scheduling for optimal bandwidth.
18 min read
Discover how multimodal vision-language models like CLIP, ALIGN, and LLaVA scale with data, parameters, and compute following Chinchilla-style power laws.
7 min read · advanced
Learn how gradients propagate through deep neural networks during backpropagation. Understand vanishing and exploding gradient problems.
9 min read
Why the first nvidia-smi or CUDA open costs seconds, what that cold path rebuilds, how nvidia-persistenced holds device FDs on the host, and when persistence pays off for pods, CI, and batch jobs.
14 min read · intermediate