NVIDIA’s CEO Jensen Huang has over the years become increasingly known for his giveaway antics at AI conferences. In recent years the CEO has unveiled both the NVIDIA Titan X (Pascal) and the NVIDIA Titan V in this fashion. And now you can add one more reveal to this list, as last evening Huang gave out 20 units of a new Titan V SKU, the Titan V CEO Edition, at the Computer Vision and Pattern Recognition conference in Salt Lake City.
According to NVIDIA, the aptly named SKU is apparently a “limited edition” product, and unlike past Huang reveals, NVIDIA has not sent out any announcements of a new product. So for the moment, this is not a retail product and is not immediately expected to become one. None the less, this is an unusual development as the new Titan V SKU is not simply a Titan V with additional memory, but rather has some notable configuration differences that set it apart from the regular Titan V.
- NVIDIA is using new 8-Hi HBM2 memory stacks, as with their 32GB Tesla cards
- Titan V CEO Edition has all 4 of its ROP/Memory Controller partitions enabled, up from 3 on the retail Titan V
The end result is that the Titan V CEO Edition is not just a Titan V with more memory. In fact memory capacity aside, thanks to these changes there will almost certainly be meaningful (though not necessarily large) performance differences between it and the regular Titan V in any kind of memory bandwidth-bound scenario. And from I’ve heard from Titan V users over the past year, bandwidth-bound scenarios are more common than one might think, as the regular Titan V can fully saturate its memory bandwidth on compute alone and still come up short. Equally important, this means that at least on paper, there’s not much separating the new SKU from the 32GB Tesla V100 in terms of performance.
As an added wrinkle, of the handful of specifications that NVIDIA’s blog post does cover, they list the new card as offering 125 TFLOPS of tensor core performance, whereas the retail Titan V is 110 TFLOPS. It’s not clear how NVIDIA gets this number, but importantly, it means that there may be further clockspeed or SM configuration changes that have yet to be revealed by NVIDIA.
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