Graphics card performance is a decisive factor in the gaming experience on computers, making them a critical piece of hardware for avid gamers. NVIDIA's Tesla P100 16G professional graphics card, which made its debut in 2016, was initially priced at a hefty $5,699 (around 40,000 RMB). Fast forward to today, and its second-hand market price has plummeted to a mere 360 RMB, marking a staggering reduction of over 99%.

This graphics card boasts an impressive 16GB of HBM2 memory, along with a 16-nanometer GP100 core that houses 3,584 CUDA cores. It operates at a core clock speed of 1,328MHz, delivers a memory bandwidth of 732GB/s, and has a maximum power consumption of 250W. As the world's pioneering AI supercomputing data center GPU, it was engineered to expedite high-performance computing (HPC) and AI development endeavors. This makes it particularly well-suited for applications such as deep learning training and AI rendering. For instance, it can handle medium-scale models when running AI painting tools like Stable Diffusion with relative ease.

However, its professional focus comes with a caveat: the graphics card lacks dedicated game driver support. This results in a performance chasm when compared to consumer-grade graphics cards. Moreover, its 16GB of memory, while substantial in its heyday, is no longer adequate to keep pace with the ever-increasing demands of modern AI computing. With technology advancing at a breakneck pace, its market value continues its downward trajectory, and prices may well plummet even further in the foreseeable future.