XDA Developers on MSN

Stop obsessing over your GPU's core clock — memory clock matters more for local LLM inference

Your self-hosted LLMs care more about your memory performance ...
diginomica

Every GPU has to work with PyTorch to reach the market - so who's making sure it stays open?

Every time a new chip ships and a CEO takes the stage to announce it, there is a question that does not get asked from the ...
XDA Developers on MSN

Intel's $949 GPU has 32GB of VRAM for local AI, but the software is why Nvidia keeps winning

Intel's AI-related software has been getting better, but it's still not great.
TweakTown

Meta's next-gen Llama3 LLM is here and the Intel Arc A770 outperforms the GeForce RTX 4060

The GPU is generally available for around $300, and Intel is comparing its AI performance against NVIDIA's mainstream GeForce RTX 4060 8GB graphics card, which is its nearest Team Green price ...
SDxCentral

Nvidia, hyperscaler-backed open standard for AI inference torch passed to Linux Foundation

An open standard for AI inference backed by Google Cloud, IBM, Red Hat, Nvidia and more was given to the Linux Foundation for ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
GIGAZINE

'llm.c', a large-scale language model training tool using pure C without PyTorch or Python, is released

Training of large-scale language models (LLMs), which can be said to be the main body of AI, is mostly done using PyTorch or Python, but a tool called ' llm.c ' has been released that implements such ...
Unite.AI

124x Slower: What PyTorch DataLoader Actually Does at the Kernel Level

This article is based on findings from a kernel-level GPU trace investigation performed on a real PyTorch issue (#154318) using eBPF uprobes. Trace databases are published in the Ingero open-source ...