NVIDIA is ready to unleash a completely new GPU aimed at researchers and scientists, the TITAN V. The card was fittingly announced at the Conference and Workshop on Neural Information Processing Systems (NIPS). The new TITAN V is based on the NVIDIA Volta architecture, and with that shift comes a gigantic leap in compute performance with certain workloads. According to the company, the TITAN V’s redesigned Tensor Cores, which feature independent parallel integer and floating-point data paths, help to fuel a whopping 9x uplift in horsepower compared to the TITAN Xp, coming in at a dizzying 110 TFLOPs for Deep Learning workloads. All of that power is packed into the 21.1 billion-transistor GV100 GPU that is manufactured using a TSMC 12nm FFN high-performance process, customized for NVIDIA. Other features of the $2,999 TITAN V include 12GB of HBM2, a new combined L1 data cache, and a shared memory unit. Power efficiency has reportedly been improved as well; NVIDIA is claiming big performance gains, within the same power envelope as Pascal...
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