The Titan V has been developed keeping machine learning and artificial intelligence workloads in mind. Nvidia has pointed towards a redesign of the streaming multiprocessor that is at the centre of the GPU, which it claims doubles energy efficiency compared to the previous generation, which results in the boost in performance in the same power envelope.
All of that power comes at a price, though.
To put this card into perspective, it can output 14.9 TFLOPS of single-precision FP32 computations, a 31 percent increase compared to the Titan Xp.Читайте также: Hope Solo: 'The time for talking is over'
It's worth noting that this isn't really Nvidia's most powerful card yet - that honor still belongs to the 112 teraflop Tesla V100, which tends to retail for around $10,000.
But at almost $3,000 it is really aimed at developers, researchers and companies that wish to create and power AI systems that tap into the parallel processing capabilities of GPU, helping them crunch through massive amounts of data more efficiently than central processing units would. Never the less, the time will come where games will be able to use AI to process out game environments and that's where the Titan V will shine. The Titan V is available today and has been designed not for gamers but for researchers and data scientists who want to use machine learning applications.
Nvidia has unleashed a new Titan graphics card which it's billing as the most powerful GPU in the world. Nvidia claims that it can offer 110 Teraflops of performance from 21.1 billion transistors, with 12GB of HBM2 High Bandwidth memory, 5120 CUDA cores and 640 "tensor cores," that are capable of offering up to 9X the deep-learning performance than the Titan V's predecessor - Titan X based GTX 1080 ti. We broke new ground with its new processor architecture, instructions, numerical formats, memory architecture and processor links", said NVIDIA CEO Jensen Huang. "With TITAN V, we are putting Volta into the hands of researchers and scientists all over the world. "I can't wait to see their breakthrough discoveries", Huang said.При любом использовании материалов сайта и дочерних проектов, гиперссылка на обязательна.
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