Generative AI is coming at a speedy tempo now. All of the estimate and projections are nowhere near what we’re witnessing these days.
New Day, New LLM
If you happen to adopted DeepSeek’s open-source week final week, one fascinating sample you’d have noticed is that the crew is very centered in the direction of the infrastructure and low stage programming and never simply coaching a brand new LLM with some new knowledge.
I additionally assume that in coming occasions, GPU programming is perhaps a scorching subject.
This submit will function an introductory part the place we are going to discuss simply fundamentals.
Hope you already know what’s a GPU
What’s a GPU?
A GPU (Graphics Processing Unit) is a specialised processor designed to deal with graphics rendering and parallel computation duties, reminiscent of these utilized in gaming, video enhancing, and machine studying. It’s optimized for executing many operations concurrently, due to its massive variety of smaller, less complicated cores.
In distinction, a CPU (Central Processing Unit) is a general-purpose processor that handles most of a pc’s duties, reminiscent of operating packages, managing system sources, and performing calculations. A CPU sometimes has fewer, extra highly effective cores optimized for duties that require advanced, sequential processing.
What’s a Core?
GPU Core: A smaller, less complicated processing unit designed for parallel execution, dealing with duties concurrently throughout many cores. Splendid for duties that may be cut up into many smaller, an identical operations (e.g., graphics rendering).
CPU Core: A extra highly effective, advanced unit optimized for sequential duties and general-purpose processing. CPUs sometimes have fewer cores however are able to dealing with extra intricate and various computations.
