Nvidia reveals special 32GB Titan V 'CEO Edition' GPU, and then gives away a bunch

Nvidia makes a special 32GB edition of its most powerful PC graphics card, the Titan V.
Written by Liam Tung, Contributing Writer

Video: AMD and Intel: Frenemies aligned vs Nvidia.

Nvidia CEO Jensen Huang has unveiled a new souped-up variant of its $3,000 Titan V GPU, which the company launched last year and billed as the most powerful PC GPU ever.

Huang unveiled the 'Titan V CEO Edition' at the Computer Vision and Pattern Recognition conference in Salt Lake City, Utah, where he gave away 20 of the cards to AI researchers working on robotics and autonomous driving projects. And for now, these are the only people in the world who can get their hands on this limited edition model.

The Titan V is Nvidia's most powerful PC GPU, but while gamers may drool over its power, the $3,000 board is aimed primarily at researchers and scientists. The Titan V is built on Nvidia's Volta technology and features its Tensor cores.

Nvidia hasn't revealed pricing for the limited edition model, but AnandTech has detailed specs that suggest if it is released to retail, it may cost somewhere between the standard Titan V and Nvidia's much more expensive Tesla V100 GPUs.

But for now, the Huang-signed edition is a marketing stunt that lets Nvidia align the brand with AI research and distance it from gaming. According to Nvidia, Huang had them "specially made for AI researchers".

SEE: Sensor'd enterprise: IoT, ML, and big data (ZDNet special report) | Download the report as a PDF (TechRepublic)

The standard Titan V features 12GB memory where as the CEO Edition features 32GB, while its deep-learning performance has increased from 110 teraflops to 125 teraflops.

It's also got a 4,096-bit memory bus width, compared with the standard 3,072-bit, and a 6MB rather than 4.5MB L2 Cache.

As AnandTech notes, the beefed-up Titan V CEO Edition's performance on paper is a lot closer to that of the roughly $10,000 Tesla V100 cards.

The CEO Edition also appears to be using Nvidia's new 8-Hi HBM2 memory stacks found in the 32GB Tesla cards.

The question now is whether and when Nvidia will release the product to retail, given the effort it expended to create this special edition Titan V card.

The giveaway cards went to researchers from the Chinese Academy of Science, DFKI, Peking University, Stanford University, Tsinghua University, University of Toronto, University of Tokyo, and University of Washington.

"There's all kinds of research being done here," Huang said. "As someone who benefits from your work, as a person who is going to enjoy the incredible research you guys do -- solving some of the world's grand challenges -- and to be able to witness artificial intelligence happen in my lifetime, I want to thank all of you guys for that. You guys bring me so much joy."


Nvidia CEO Jensen Huang has given away 20 Titan V CEO Edition GPUs to AI researchers.

Image: Nvidia

Previous and related coverage

Nvidia's Titan V giant: $3,000 buys you 'most powerful PC GPU ever'

Nvidia brings its Volta architecture chips for supercomputers to the PC.

Intel: Expect our first discrete GPUs by 2020

Intel is aiming to compete with Nvidia and AMD in the AI-driven, discrete graphics card market by 2020.

Nvidia researchers create AI, deep-learning system to enable robots to learn from human demonstration

The paper detailing the method is being outlined at a conference in Brisbane, Australia.

AI could turn your blurry phone videos into slow-mo masterpieces (CNET)

Nvidia has developed technology that will add additional frames into video that's already been recorded.

Nvidia aims to extend its lead in AI

At its annual GPU Technology Conference, Nvidia made the case for using GPUs not only to train ever bigger models, but also to run these neural networks in data centers to revolutionize industries.

New NVIDIA chip could enable AI and robotics in many more industries (TechRepublic)

Nvidia says the heart of their project is Jetson Xavier, the world's first computer designed specifically for robotics.

Best Graphics Card of 2020 (CNET)

Editorial standards