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 ...
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.
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 ...
A new technical paper titled “Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs” was published by researcher at Intel. “The advent of ultra-low-bit LLM models (1/1.58/2-bit), which match ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
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 ...
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 ...
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