AMD vs. Nvidia: The AI Supercycle Is Big Enough for Both. Here's the Better Buy.

Is the king of AI infrastructure about to lose its crown?

Want to make the most of the new Gemma 4 AI models? RTX GPUs and PCs accelerate local AI like never before

NVIDIA’s RTX 50 Series graphics cards have enough VRAM to load Gemma 4 models, and a range of others. Their Tensor Cores help ...

Google Gemma 4 Runs Locally on NVIDIA RTX GPUs With Faster AI Performance

Google Gemma 4 now runs on NVIDIA RTX GPUs, enabling faster local AI, offline inference, and powerful agent workflows across ...
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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 ...

Nvidia vs. Broadcom: Which AI Supercycle Growth Stock Will Make You Richer?

The two chip giants battle for positioning as the AI supercycle shifts from model training to inference.