Nvidia’s SchedMD acquisition puts open-source AI scheduling under scrutiny

With Nvidia now controlling Slurm’s roadmap, enterprises running mixed-vendor GPU clusters are asking whether open-source guarantees are enough.

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?

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.

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 ...
Virtualization Review

Running AI Natively on Windows 11 Using an eGPU

Tom Fenton reports running Ollama on a Windows 11 laptop with an older eGPU (NVIDIA Quadro P2200) connected via Thunderbolt dramatically outperforms both CPU-only native Windows and VM-based ...