#CUDA

Articles about CUDA — exploring patterns, best practices, and real-world implementations in production systems.

2 posts tagged with cuda. ← All posts

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Pratik Dhanave · ·5 min read

The CUDA Execution Model — Threads, Warps, and Occupancy

To make a GPU fast you have to express your problem the way the hardware wants to run it: as thousands of near-identical threads marching in lockstep. CUDA is the programming model that exposes this, and its abstractions — threads, warps, blocks, grids — map directly onto the SMs and cores from post 1. You don't need to write kernels to be an inference engineer, but you do need this model to understand why some operations fly and others crawl.

Threads, warps, blocks, and grids; SIMT and branch divergence; and the cleverest trick — hiding slow memory by oversubscribing warps (occupancy). Why a GPU can be underutilized without being either compute- or memory-bound.

#GPU#CUDA#Performance#Inference
Pratik Dhanave · ·5 min read

Why GPUs Power AI — The Hardware Underneath Inference

Every large language model runs on a GPU, but most engineers treat the GPU as a black box that "does the math fast." Understanding why it's fast — and, more usefully, why it's often not as fast as its spec sheet promises — is the foundation of inference engineering. This series works below the serving layer: not how to run an inference server, but how the silicon actually executes a model and where the real bottlenecks live.

Every LLM runs on a GPU, but the spec-sheet FLOPS number is a near-fiction in practice. Why neural nets map onto GPUs (matrix multiply, SMs, tensor cores), and the governing intuition of the series: compute is cheap, data movement is expensive.

#GPU#Inference#CUDA#Performance#LLMs

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.