NVIDIA has unveiled the Titan V, a new desktop GPU that's been created to bring massive amounts of power to those working on machine learning applications.
The buyers, who are willing to pay an earthshattering price of $2,999 for Titan V, will get access to Nvidia's latest GPU-optimized AI, deep learning and HPC software.
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.
"Our vision for Volta was to push the outer limits of high performance computing and AI. We broke new ground with its new processor architecture, instructions, numerical formats, memory architecture and processor links", Jen Huang, Nvidia founder and CEO, said in a statement. "I can't wait to see their breakthrough discoveries", he added.
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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. Interestingly, we've actually seen this graphics card before thanks to a leak allegedly from an Nvidia intern in May.
Nvidia calls its new compute units Tensor Cores, and they are designed specifically for deep learning, with independent integer and floating-point data paths that can operate in parallel. However, the TITAN is clearly a workstation card this time around, with the main focus being on pushing forward AI development and machine learning.
This product is designed for developers and scientists who wish to work in the field of machine learning but despise the need for a special server, network or storage.
Nvidia notes that Titan V sports a major overhaul of the streaming multiprocessor at the heart of the card, and it's twice as energy-efficient as its Pascal predecessor.
The new Titan V is available from Nvidia now, with a maximum order of two per customer in place.