Need some rendering power? How about Nvidia’s Quadro GV100 with 5,210 CUDA cores and 32GB of HBM2? I wonder what this card will be like for mining ;P
NVIDIA CEO Jensen Huang today announced to the world what is being touted as the world’s most advanced GPU for professionals – the Quadro GV100. Based on NVIDIA’s Volta architecture and sporting 5,120 CUDA cores, this is a behemoth of a professional graphics card, eclipsing all previous NVIDIA offerings by a wide margin.
The GV100 was built to usher in all kinds of workload performances – from machine learning and HPC to actually being the only professional graphics card actually capable of processing workloads around the just announced RTX raytracing suite. That alone is a boon that’s sure to get these cards moving from the presses and unto professional’s hands all the faster. The 5,120 CUDA cores join the 32 GB of HBM2 memory and up to 7.4 TFLOPs of power for double-precision rendering, 14.8 TFLOPs for single-precision workloads, 29.6 TFLOPs half-precision, and 118.5 TFLOPs for deep learning through its Tensor Cores. The previous high-end Quadro, the GP100, offered 10.3 TFLOPs for single-precision rendering.
This graphics card is a behemoth in all senses. The 5,120 CUDA cores, 640 Tensor cores, 320 texture units and 128 ROPs of hardware on this GPU run at some 1450 MHz boost clocks. The HBM 2 memory is a 1.7 Gbps affair on a 4096-bit bus, which naturally features ECC (error correction for data-critical workloads). The TDP stands at a (relatively) innocuous 250 W – for this big a chip, it’s actually rather tame, and could make it (mostly a drop-in replacement for the Quadro P100, which sports TDP a tad lower at 230 W.
The Quadro GV100 has dropped the GP100’s sole DVI port, leaving it with 4x DisplayPort 1.4 connectors. The card also features standard Quadro Sync and Stereo connectors for synchronized refresh and quad-buffered stereo respectively. Naturally, this Quadro GV100 features support for dual NVIDIA NVLink operation, which will allow prospective users to enjoy the full benefits of the interface, particularly low latency data transfers, remote memory access, and memory pooling.
Source: Engadget, AnandTech via TPU
