XDA Developers on MSN
Matching the right LLM for your GPU feels like an art, but I finally cracked it
Getting LLMs to run at home.
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Abstract: Nowadays, the use of accelerators in high performance computing has become more common than ever before. The most used accelerators must be the Graphics Processing Unit (GPU). It has emerged ...
This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.
Online LLM inference powers many exciting applications such as intelligent chatbots and autonomous agents. Modern LLM inference engines widely rely on request batching to improve inference throughput, ...
Shift is a general-purpose Monte Carlo (MC) radiation transport code for fission, fusion, and national security applications. Shift has been adapted to efficiently run on GPUs in order to leverage ...
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