#Gpus

Large exchanges are designing derivative products around AI tokens, which are increasingly being considered less a computational output and more a raw material input, like electricity or bandwidth.

AMD says FSR 4.1 will finally bring its newer hardware-accelerated upscaling technology to older Radeon GPUs. "The rollout will begin in July with RDNA3- and 3.5-based GPUs, which include the Radeon RX 7000 series, as well as integrated GPUs like the…

From XDA Developers: Nvidia's new VRAM trick sounds great, until you realize your RTX card can't even use it

Navigating the GPU Scaling Frontier: The Backbone of Modern AI The rapid advancement of...

From Engadget: AMD will bring its next-generation FSR 4.1 upscaling tech to older GPUs

AMD just revealed its plan to bring FSR Upscaling 4.1 to the Radeon RX 7000 series in July and to RX 6000 series early in 2027. Here's why this is a big deal.

From Pcgamer RSS Feed: Nvidia's solution to the AI energy problem is mini data centers next to local power substations and, of course, selling even more GPUs

Nvidia's real AI moat isn't "a piece of hardware," writes Wired's Sheon Han. It's CUDA: a mature, deeply optimized software ecosystem that keeps machine-learning workloads tied to Nvidia GPUs.…

From How-To Geek: GPUs aren't just for gamers anymore—these 5 everyday tasks need one

Artificial Intelligence and Machine Learning are growing faster than ever. From large language models...

From Dev Community: I Expanded My GPU Rental Fleet to 6 Cards — Here's What Happened to My Earnings

DOE and NVIDIA announced Solstice, a 100K-GPU Vera Rubin supercomputer delivering 5,000 exaflops, and Equinox with 10K Blackwell GPUs.

From XDA Developers: Nvidia's VRAM problem is quietly becoming a software problem, and game developers are the ones being forced to deal with it

From XDA Developers: The worst gaming GPU in your drawer might be your best home server upgrade

From Latest from Tom's Hardware: Nvidia CEO Jensen Huang says China should not have Blackwell or Rubin AI GPUs — firmly states US should have 'the first, the most, and the best' when it comes to AI hardware

Hardware flaws, high prices, and fake frames? Sorry, but I'm opting for AMD this generation.

From XDA Developers: A five-year-old GPU can handle modern games better than you think

From The Register: Inference is giving AI chip startups a second chance to make their mark

Greetings, I'm looking for some guidance from anyone who has deployed VR in a managed lab or enterprise environment. I’m working on standing up a dual multi-user VR lab (42) and started with a workstation-class system to balance reliability and lifecycle…