The PCB is a 16 phase DrMOS with real time integrated current and thermal monitoring capabilities. A gorgeous gold die-cast aluminum body and a superior vapor chamber cooling system for the best thermals possible without jumping onto liquid cooling. While aesthetics is not something I typically care about for a graphics card stuck inside a metal box, I must say this is one beautiful card - the same sleek NVTTM cooler, with model name etched on the front. Upon unboxing, this is how it looks like: I got my Titan V on Friday 12/15/17, and here I will be sharing some initial findings. When it come to Deep Learning, speed matters! The arrival of the Titan As I was writing this story, I have already sold and delivered one to a happy customer in Texas (the card was a sold-out original NVIDIA 1080 Ti Founder’s Edition). The second? You might already have guessed - putting two of my GTX 1080 Tis on. The whopping $2999 asking is still hefty, but a lot better than $10K! The first thing I did when I heard about the news was logging on to and checking out a Titan V. The surprising announcement of the Titan V at the NIPS 2017 Conference last week on 12/7 was a blessing. They ended up putting multiple GTX 1080 Tis in their DL boxes, and I was one of them. However, the $10K+ price tag has turned away many DL enthusiasts.
Or it can blast through FP64 and FP32 operations when there’s a need for greater range, precision or numerical stability." However, I can't find previous official stats for FP16 performance on Nvidia's regular Titan V product pages.When NVIDIA released the first Volta Architecture based Tesla V100 on at the annual GPU Technology Conference Keynote, it generated huge excitements for a giant leap in GPU Deep Learning performance.
We are told that the limited edition card can "crank through deep learning matrix operations at 125 teraflops at FP16 precision. If you are wondering what might be special about the Nvidia Titan V CEO Edition GPUs, other than the signature and packaging, sadly Nvidia's blog doesn't provide any illumination on this question. A senior engineer, and head of the machine learning competence centre, at AUDI AG's automated driving development division.An AI researcher who is "doing groundbreaking work in the field of robotics",.Each lucky guest was presented with a signed, limited edition 'Nvidia Titan V CEO Edition GPU'.Īmong those who won a highly desirable Volta-powered CEO Edition card, worth approx $3000, were Moving swiftly to the second surprise announced by Huang, 20 guests were "selected at random," to join him in the hotel's courtyard. Recipients of the prizes have previously or are currently participating in the global Nvidia AI Labs ( NVAIL) program.
He went on to say how Nvidia is dedicated to creating a computing platform to further AI research. The Nvidia CEO talked about how the researchers are using deep learning to solve numerous problems and that they are "truly amazing". The first one was that Huang called up 12 teams of researchers and presented each with an Nvidia Pioneer Award. Actually there were two sets of surprises. Nvidia CEO Jensen Huang addressed more than 500 guests at the conference yesterday before delivering "a big surprise". This time the limited edition appears to be incredibly small, at just 20 products, and they were all given away at yesterday's Computer Vision and Pattern Recognition conference (CVPR for short) in Salt Lake City, Utah. Here's another special edition computing product for tech enthusiasts to desire.
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