Grant will be using the Titan Xp for neural net and machine learning work, two areas where we have admittedly near-0 experience we’re focused on gaming, clearly. Further, the Titan Xp 2017 model uses a GP102-450 GPU, whereas Titan X (2016) uses a GP102-400 GPU.Ī reader of ours, Grant, was kind enough to loan us his Titan Xp for review and inevitable conversion into a Hybrid mod ( Part 1: Tear-Down is already live). ![]() If you’re curious about whether a card is actually a Titan Xp card, the easiest way to tell would be to look at the outputs: TiXp (2017) does not have DVI, while Titan X (Pascal, 2016) does have DVI out. Turns out, it’s still marked with the LED-backlit green text. The initial renders of nVidia’s Titan Xp led us to believe that the iconic “GeForce GTX” green text wouldn’t be present on the card, a belief further reinforced by the lack of “GeForce GTX” in the actual name of the product. Clarifying Branding: GeForce GTX on Titan Xp Card GTX 1080 TiĪbove is the specs table for the Titan Xp and the GTX 1080 Ti, helping compare the differences between nVidia’s two FP32-focused flagships. This card may be better deployed for neural net and deep learning applications, but that won’t stop enthusiasts from buying it simply to have “the best.” For them, we’d like to have some benchmarks online. Today, we’re benchmarking and reviewing the nVidia Titan Xp for gaming specifically, with additional thermal, power, and noise tests included. Even with that big of a gap, though, diminishing returns in gaming or consumer workloads are to be expected. The Titan Xp 2017 now firmly socketed into the $1200 category, we’ve got a gap between the GTX 1080 Ti at $700 MSRP ($750 common price) of $450-$500 to the TiXp. NVidia’s Titan Xp followed the previous Titan X (that we called “Titan XP” to reduce confusion from the Titan X – Maxwell before that), and knocks the Titan X 2016 out of its $1200 price bracket. The Titan Xp, as it turns out, isn’t necessarily targeted at gaming – though it does still bear the GeForce GTX mark. This of course opens the door to a proper GeForce branded GP102 card later on, possibly with neutered INT8 support to enforce the market segmentation.NVidia’s Titan Xp 2017 model video card was announced without any pre-briefing for us, marking it the second recent Titan X model card that took us by surprise on launch day. Though gaming is certainly possible - and I fully expect they'll be happy to sell you $1200 gaming cards - the tables have essentially been flipped from the past Titan cards, where they were treated as gaming first and compute second. ![]() Despite labeling it "the worlds ultimate graphics card," NVIDIA this morning has stated that the primary market is FP32 and INT8 compute, not gaming. By splitting HPC and graphics/inference into two GPUs, NVIDIA can produce GP102 at what should be a significantly lower price (and higher yield), something they couldn't do until the market for compute products based on GP100 was self-sustaining.įinally, NVIDIA has clarified the branding a bit. ![]() This is as best of an example as we're ever going to get on the die space cost of the HPC features limited to GP100: NVLInk, fast FP64/FP16 support, larger register files, etc. Given that both (presumably) have the same number of FP32 cores, the die space savings and implications are significant. Meanwhile we have a die size for GP102: 471mm2, which is 139mm2 smaller than GP100. With the exception of INT8 support, this is a bigger GP104 throughout. We have confirmation that the FP64 and FP16 rates are identical to GP104, which is to say very slow, and primarily there for compatibility/debug purposes. NVIDIA has given us a few answers to the question above.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |