If you're shopping for professional NVIDIA RTX Pro Blackwell AI-ready GPUs for a brand new workstation or server, you've probably noticed the same card listed under two different brands: one sold by PNY and one sold by NVIDIA. So, what's the deal with that? Are you getting a lesser product if you go PNY?

With so many CPU and GPU options on the market, and power requirements continuing to rise across the board, picking a PSU in 2026 can get confusing fast. This chart is meant to give you a quick starting point for choosing an appropriate PSU for your PC.

      On January 31, we hosted an enterprise event at our Santa Clara headquarters in collaboration with long-term partners ASUS and NVIDIA, highlighting both current and upcoming AI products from each company. Attendees got a joint presentation that covered the hardware and software sides of modern AI deployment, live demonstrations, free sandwiches, and a giveaway that ended with one person walking out with a $4,000 AI supercomputer.

The days of High-Performance Computing demanding a server rack or full-tower workstation are gone. 

Introducing the NVIDIA DGX Spark — a lunchbox-sized AI supercomputer capable of 1 petaFLOP of throughput for the price of a high-end gaming PC. 

When NVIDIA introduced the DGX Spark platform, it quickly became the most recognizable compact AI system on the market. It is small, somewhat funny-looking, and supports daisy-chaining multiple units to build a local dual-node cluster. It also comes preinstalled...

The AI sector’s rapid growth in this past year has pushed workstation hardware in new directions, and NVIDIA has now nearly completed the transition of its workstation-class graphics card lineup to the current-gen Blackwell microarchitecture—at a notably faster pace than they did with the prior generation of Ada-based GPUs.