Not just because it’s the newest, or because it’s the fastest – and oh man, is it fast – or even because of the eye-popping $3000 price tag, but because it’s the first card in a new era for the Titan family. What sets the Titan V apart from all of its predecessors is that it marks the first time that NVIDIA has brought one of their modern, high-end compute-centric GPUs to the Titan family, and what that means for developers and users alike. NVIDIA’s massive GV100 GPU, already at the heart of the server-focused Tesla V100, introduced the company’s Volta architecture, and with it some rather significant changes and additions to NVIDIA’s compute capabilities, particularly the new tensor core. And now those features are making their way down into the workstation-class (and aptly named) Titan V. The Titan family has already been pushing towards compute for the past few years, and by putting the compute-centric GV100 into the card, NVIDIA has essentially ushered that transition to completion.

And as for card-to-card communication, PCB itself appears to have NVLink connections on the top, but these look to have been intentionally blocked by the shroud to prevent their use and are presumably disabled. Out of nowhere, NVIDIA has revealed the NVIDIA Titan V today at the 2017 Neural Information Processing Systems conference, with CEO Jen-Hsun Huang flashing out the card on stage. A mere 7 months after Volta was announced with the Tesla V100 accelerator and the GV100 GPU inside it, NVIDIA continues its breakneck pace by releasing the GV100-powered Titan V, available for sale today. Aimed at a decidedly more compute-oriented market than ever before, the 815 mm2 behemoth die that is GV100 is now available to the broader public.

  1. Considering how massive the Tesla V100’s GPU/HBM combo wound up being, it’s very impressive indeed that Nvidia managed to cram this much power into a dual-slot desktop graphics card.
  2. While the Titan series of cards may have started life as a prosumer card in 2013, since then NVIDIA’s GPU designs have become increasingly divergent between compute and graphics.
  3. The HBM2 memory also remains an expensive proposition, and with GDDR6 slated to arrive this year, I suspect we’ll see that or even GDDR5/GDDR5X in GeForce cards using other Volta designs (eg, GV104, GV106, GV107).
  4. This isn’t a value proposition at all, but it does give us a tantalizing taste of what we might see in a future GeForce branded card.
  5. The end result is that rather than being NVIDIA’s top prosumer card, the Titan V is decidedly more focused on compute, particularly due to the combination of the price tag and the unique feature set that comes from using the GV100 GPU.

But as we’re going to see in our performance results, the performance gains are erratic and there are a number of driver bugs that need squashed. I expect interesting things once we have proper consumer-focused Volta GPUs from NVIDIA, but that is a proposition or next year. That GV100 is appearing in a Titan card is extremely notable, and it’s critical to understanding NVIDIA’s positioning and ambitions with the Titan V. NVIDIA’s previous high-end GPU, the https://cryptolisting.org/ Pascal-based GP100, never made it to a Titan card. That role was instead filled by the much more straightforward and consumer-focused GP102 GPU, leading to the resulting Titan Xp. Titan Xp itself was no slouch in compute or graphics, however it left a sizable gap in performance and capabilities between it and the Tesla family of server cards. The Titan V is the fastest gaming graphics card around, beating the GTX 1080 Ti by an average of 13 percent at 4K.

What is the acceptable FPS speed for me?

The use of the Tensor cores or CUDA cores in each SM is exclusive, however, so if you want access to the 110 TFLOPS of FP16 performance from the Tensor cores, that’s not in addition to the CUDA performance. The Tensor cores are also rather specialized, and while it’s possible to use them for certain gaming titan v price calculations, don’t count on that happening—Tensor code will need to be specifically written for the processors. Let me also get this one out of the way, since it’s ostensibly why Nvidia released the Titan V. It’s really fast at certain computations, specifically FP16 operations using the Tensor cores.

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Nvidia says the Titan V delivers up to 110 teraflops of power in AI calculations, “9X that of its predecessor,” thanks to the introduction of the tensor cores. There’s no doubt that this is a powerful GPU, but Nvidia isn’t aiming the Titan V at gamers. Firstly, it’s $3,000, and secondly, its really meant for AI and deep learning research.

The Titan V now gets all of the compute capabilities of NVIDIA’s best GPU, but in turn it’s more distant than ever from the graphics world. Which is not to say that it can’t do graphics – as we’ll see in detail in a bit – but this is first and foremost a compute card. In particular it is a means for NVIDIA to seed development for the Volta architecture and its new tensor cores, and to give its user base a cheaper workstation-class alternative for smaller-scale compute projects. The Titan family may have started as a card for prosumers, but the latest Titan V is more professional than any card before. Instead, Nvidia says this card “transforms the PC into an AI supercomputer.” While the still-available Titan Xp was theoretically a compute card, but better suited as a best-in-class gaming card, the Titan V doubles down on data crunching. Nvidia is giving Titan V owners free access to AI, deep-learning, and high-performance computing software via the Nvidia GPU cloud.

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The Titan Xp was already highly questionable, delivering a few percent better performance than a GTX 1080 Ti with about a 70 percent price premium. Titan V takes diminishing returns to a new level, with 13 percent better 4K performance on average, and a best-case result of 27 percent better performance in a couple of games, but this time with a price premium of 325 percent. The TITAN V sits between the RTX 2080 SUPER and the RTX 2080, falling slower than RTX 2080 SUPER by 2.2% and faster than RTX 2080 by 5.6%. Those who have a high refresh rate monitor will enjoy what TITAN V has to offer as it averages 180 fps. The TITAN V sits between the RTX 2070 SUPER and the RTX 2070, falling slower than RTX 2070 SUPER by 0.2% and faster than RTX 2070 by 4.8%.

As mentioned earlier, NVIDIA is unsurprisingly pushing this as a compute accelerator card, especially considering that Titan V features tensor cores and keeps the TITAN branding as opposed to GeForce TITAN. But there are those of us who know better than to assume people won’t drop $3000 to use the latest Titan card for gaming, and while gaming is not the primary (or even secondary) focus of the card, you also won’t see NVIDIA denying it. In that sense the Titan V is going to be treated as a jack-of-all-trades card by the company. Whether it’s the GTX 1180 or some other name, we can count on there being a replacement to the GTX 1080 at some point.

Those who have a high refresh rate monitor will enjoy what TITAN V has to offer as it averages 125.7 fps. The TITAN V sits between the GTX 1080 Ti and the RTX 2070 SUPER, falling slower than GTX 1080 Ti by 1.4% and faster than RTX 2070 SUPER by 0.8%. Those who have a high refresh rate monitor will enjoy what TITAN V has to offer as it averages 133.1 fps. Put another way, a big part of the success of GPUs in compute workloads has come from their ubiquity. Everyone has easy access to a GPU, and that has brought dramatically increased computational power at increasingly lower costs.

The card is rated to do up to 110 TFLOPS (that’s trillions of floating-point operations per second), which used to be the realm of the fastest supercomputers. Nvidia gives sample performance of up to 609 images per second for Resnet-50 training using the Tensor cores, compared to 240 images/s with a Titan Xp (which obviously lacks the Tensor cores), making the Titan V 154 percent faster. If you run apples-to-apples tests without the Tensor cores, the Titan V still does 308 images/s—so 28 percent faster than the Titan Xp, which is close to the theoretical difference in TFLOPS.

Titan V revealed: Nvidia’s monstrous Volta GPU finally comes to PCs

If the golden shroud didn’t already suggest so, the Titan V is also carving out a new eye-watering price point, dropping in at $2999 and on sale now at the NVIDIA store. NVIDIA has, to date, been selling Tesla V100 products as fast as they can produce them, so I’m not going to be surprised if the Titan V sees a similar fate. The $3000 price tag is quite high, even by Titan standards, but with the rare Tesla V100 PCIe card going for around $10,000, the Titan V is markedly cheaper. In fact, the Titan V’s core specs are very similar to the Tesla V100’s configuration, but the desktop card’s HBM2 runs slightly slower—and there’s 4GB less of it.

In other words, the Asetek cooling does a good job and manages to fit into a very cramped space, but it doesn’t overcome the limitations of Intel’s TIM (Thermal Interface Material). Next, take all this power and cram it all into a mini-ITX case built around Asus’s ROG Strix Z370-I Gaming motherboard, with a custom chassis that you simply can’t buy anywhere else. Falcon Northwest prides itself on stunning paintjobs, and while our sample is a relatively tame metallic burgundy, it’s possible to go all-in on artwork if that’s your thing. The result can be a one-of-a-kind masterpiece, worthy of the hardware residing within. For power, Falcon Northwest uses a Silverstone SX-650G SFX PSU, rated 80 Plus Gold, which means there’s plenty of headroom for the included components, even with overclocking. But in most cases, opting for a High quality graphics configuration is the way to go.