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 ...
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 ...
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.
ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
Engineers from OLX reported that a single-line modification to dependency requirements allows developers to exclude unnecessary GPU libraries, shrinking contain ...
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 ...
What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...
MAXSUN has announced its Intel Arc Pro B70 series graphics cards, introducing a new professional GPU option aimed at AI ...
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