The Tesla V100 still offers greater memory capacity by 4GB – 16GB HBM2 versus 12GB HBM2 – and has a wider memory interface, but other core features remain matched or nearly matched. The key differentiator is that the Titan V ships at $3000, whereas the Tesla V100 was available as part of a $10,000 developer kit. The Titan V is a derivative of the earlier-released GV100 GPU, part of the Tesla accelerator card series. That does not, however, mean that the card is incapable of gaming, nor does it mean that we can’t extrapolate future key performance metrics for Volta. The nVidia Titan V graphics card is not targeted at gamers, but rather at scientific and machine/deep learning applications. We purchased the Titan V for editorial purposes, and will be dedicating the next few days to dissecting every aspect of the card, much like we did for Vega: Frontier Edition in the summer. This nVidia Titan V gaming benchmark tests the Volta architecture versus Pascal architecture across DirectX 11, DirectX 12, Vulkan, and synthetic applications. Our tear-down is already online, but now we’re focusing on Titan V overclocking and FPS benchmarks, and then we’ll move on to production, power, and thermal content. This will teach us about the Volta architecture obviously, you shouldn’t be spending $3000 to use a scientific card on gaming, but that doesn’t mean we can’t learn from it. The point here isn’t to look at raw performance in a hundred different titles, but to think about what the performance teaches us for future cards. The nVidia Titan V is not a gaming card, but gives us some insights as to how the Volta architecture could react to different games and engines.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |