The NVIDIA TITAN V GPU uses Volta architecture, which helps with groundbreaking innovations in AI, deep learning, and datacenters. Compared to the TITAN V “CEO EDITION,” this GPU offers the same amount of tensor cores, CUDA Cores, and clock speed, but differs in the amount of memory and pixel rate. The tensor cores are the latest innovation for Nvidia’s new prosumer line of video cards adding a new type of processing core specialized for deep learning and HPC resulting in increasing AI performance.
Volta is a brand new architecture that's different from Pascal and Maxwell. As a successor to Pascal, it has 5210 CUDA cores as opposed to 3840 on Pascal, but now includes up to 640 Tensor cores for specialized computations. This graphics card supports up to 12 GB of HBM2 memory operating at 651.3 GB/s, which is less than the TITAN RTX GPU, currently tagged as the fastest PC graphics card ever built.
Delivering up to 640 Tensor cores and 5210 CUDA cores, this graphics card can achieve maximum results. The TITAN V’s 21 billion transistors are also capable of delivering 110 teraflops of performance, which is nine times the deep learning computing horsepower of its predecessor, Titan Xp. Unlike other TITAN GPUs, the TITAN V doesn’t support NVLink or SLI.
Contrary to the NVIDIA TITAN RTX, this graphics card has one fan and a copper heatsink for more efficient cooling and reduced fan acoustics. The heatsink is soldered to a large vapor chamber to dissipate heat from the GPU die and HBM2 stacks. The radial fan draws in air from inside the chassis and vents it out through the back where a second small heatsink helps wick heat away from the Voltage Regulator Module (VRM). The TITAN V also features a 16-phase power supply with a 250W TDP, like other high-end TITANs. Similar to the TITAN Xp, this GPU has two connectors, one 6-pin and one 8-pin.
The NVIDIA TITAN V is capable of being much more powerful than past NVIDIA GPUs. Usually used for research and artificial intelligence, the GPU supports up to 12 GB of HBM2 memory. It can run multiple workloads with the high-performance tensor cores and CUDA cores and has nine times more deep learning computing horsepower than its predecessor, the Titan Xp.
