CPUs are versatile processors suited for a wide range of tasks but may struggle with the parallel processing demands of AI. GPUs excel in handling large-scale parallel computations, making them ideal for training and running complex AI models. DPUs (Data Processing Units) are specialized for data-centric tasks, optimizing data movement and management, and can significantly enhance performance for specific AI workloads.
1:15 1990s? The Radeon GPU never took off until the early 2000s bud. The most you could get in the middle of the 1990s was a old old PCI 4 meg video card. PCI Express didn't fully release until the 2000s and the programming for it was just games. I have a receipt for a Radeon 9700 that cost 800 dollars Canadian for a P4S8X Motherboard. That was top of the line. No Solid State Drives at the time. The 90s was mostly dial up and 1999 summer was when cable internet just came out. 1/2 a meg speed.
DPU is mostly like a super powerful network card (which does some of the CPU work on itself and thus offloading the CPU for other tasks) but it's not what the creator of this video says... a DPU can't replace GPU or CPU and also a DPU is not an AI accelerator. It seems the author got confused into thinking that a DPU is some super powerful AI accelerator which is incorrect.
