What’s up with Volta Nvidia Volta vs Pascal, Titan V & Mixed Precision homepage

If you’ve got three grand burning a hole in your wallet and you simply must have the fastest single GPU gaming solution, Titan V is generally the winner, easily surpassing the GTX 1080 Ti in most games. 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. A page fault may take extra time to resolve, you don’t want to lock up one engine waiting for that remapping to finish. At any rate, for NVIDIA professional users who have been looking to dip their toes into Volta but didn’t want a full-fledged Tesla card, the Titan V is clearly going to be a popular card. Over the last two years NVIDIA’s AI efforts have been firing on all cylinders, and by bringing a GV100 card down to just $3000, expect to see them crack open the market that much further.

1. We didn’t make Nvidia’s shortlist for an initial Titan V sample—”it’s not for gaming” was the curt response—but Falcon Northwest came through with a drool-worthy PC that kicks practicality to the curb and goes all-in on style and performance.
2. With a memory clockspeed of 1.7Gbps and a 3072-bit memory interface, that’s good for 653GB/s of bandwidth.
3. He said that his company will use the cards in developer workstations because it can do the needed math without needing a separate graphics card to run the display.
4. Of course, benchmarking is only half the battle, as it is rarely accurate to real-world performance, but it does give a good indicator of what to expect for Nvidia’s upcoming Volta line of graphics cards.

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. And when it does arrive, it will probably perform like the Titan V at a fraction of the price—and with drivers that are targeted directly at gamers. More interesting to me than what the Titan V offers gamers is what it means to the world of AI research. I’ve attended Nvidia’s GTC a few times, and while there are bigger companies using high-end server solutions, the number of research projects done using older and less expensive GeForce processors dwarfs everything else.

When you add in that it has 12GB of VRAM and can hit FP32 performance of 13.8TFLOPS, this card kills it in the performance category. NVIDIA has just announced their latest Titan graphics card based on the Volta GPU architecture, the Titan V. As for NVIDIA’s intended market of compute and AI users, the Titan V will be supported by NVIDIA GPU Cloud, which includes TensorRT, a number of deep learning frameworks, and HPC-related tools. 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.

Set at stock speeds, the graphics card scored 5222 in the 8K optimized preset which is very interesting, but do note the 1080p Extreme preset score. With the 1080p preset, this card went into beast mode, scoring 9431 points at stock settings. Well, the GTX 1080 Ti Kingpin was clocked to 2.6 GHz (2581 MHz) and still managed to score just 8642 points in the same benchmark. Architecturally, Nvidia has also stated in the past that Volta isn’t just Pascal with the addition of Tensor cores and a process shrink.

Memory Bandwidth

1. But for now, the Huang-signed edition is a marketing stunt that lets Nvidia align the brand with AI research and distance it from gaming.
2. The GPU can also run FP32 CUDA calculations at up to 14.9 TFLOPS, or FP64 at half that level, 7.45 TFLOPS.
3. What they have really improved in this card is exploiting the FP16 by creating the Mixed Precision – a matrix multiplication in FP16 and accumulation in FP32 precision.
4. Overclocking of the Titan V is also possible, but for these initial tests I ran everything stock.

So, when you titan v price compare how fast your NN will train, you’ll need to take this into consideration when sending inputs. Last week, Nvidia surprised us with the launch of its first Volta graphics card, the Titan V coming in at an eye watering price of $3000. It seems that the Titan V might just be living up to its price, as Unigine Superposition benchmarks show impressive results. He said that his company will use the cards in developer workstations because it can do the needed math without needing a separate graphics card to run the display.

The NVIDIA Titan V Deep Learning Deep Dive: It’s All About The Tensor Cores

It’s actually good value if you can make use of Tensor Cores (4×4 fused-multiply-add) for Deep Learning. Falcon Northwest is effectively selling fully custom hotrods to its clients. While these include famous celebrities and sports stars, however, there are also businesses that simply want extreme performance and quality and are willing to pay for it.

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. Nvidia has been pushing more towards research in the last couple of years.

Nvidia releases Volta-based Titan V for PC

The giveaway cards went to researchers from the Chinese Academy of Science, DFKI, Peking University, Stanford University, Tsinghua University, University of Toronto, University of Tokyo, and University of Washington. Nvidia CEO Jensen Huang has unveiled a new souped-up variant of its $3,000 Titan V GPU, which the company launched last year and billed as the most powerful PC GPU ever. This increase isn’t limited to Unigine, too, as Futuremark’s VR Mark “Blue Room” pegs the Titan V at 4,400 points, 1,428 points above the GTX 1080 Ti. TimeSpy shows the new card delivering over 1,000 more points worth of improvement to its average performance, coming in at 11,539 points. Nvidia’s Titan V managed to bench 5,222 points in Unigine Superposition’s 8K Optimized preset, according to TechPowerUp, while clocking a huge 9,431 points at the 1080p Extreme preset. For reference, Nvidia’s GTX 1080 Ti managed to attain a respectable 8,642 points on the latter preset only when running at 2,581MHz under liquid nitrogen cooling.

Nvidia reveals special 32GB Titan V ‘CEO Edition’ GPU, and then gives away a bunch

And for now, these are the only people in the world who can get their hands on this limited edition model. Or if you’ve got $3,000 burning a hole in your wallet, you can buy the Titan V on Nvidia’s site right now. Hell, why not buy several and slap them in a system for some serious computational power? Not that you’ll need those when you’re building an AI to take over the world. The new Titan V is available from Nvidia now, with a maximum order of two per customer in place.

The Tiki includes a full service 3-year warranty, and you can configure builds that most OEMs only dream about selling. Also included with each Falcon Northwest PC is a full list of benchmark results from the build and burn-in process, so you can refer back to these in the future and determine if your PC is slowing down. I was initially surprised at the CPU overclock, as I couldn’t get my i7-8700K sample from Intel to run stably at 5.0GHz, and even 4.9GHz results in throttling so I had to settle for 4.8GHz. I asked Falcon Northwest’s founder, Kelt Reeves, if they were delidding the CPU to help, and he said no.

Everything aside, this card is the top dog of the market right now and no one is disputing this. It’s not a value proposition, it’s honestly not even a great gaming card, but it is the best card that money can buy right now. Anytime the host CPU is x86, the CPU-GPU data transfer will flow over PCIE, but these systems can still have NVLink connectivity between GPUs, and AFAIK a scheduled async data transfer there will involve a copy engine. Given that 6 links could conceivably connect to 6 different GPUs or endpoints (speaking generally, not with respect to any current/known implementation), architecturally 7 copy engines does not seem bizarre to me.

That said, a liberal definition of the word “consumer” is in order here — the Titan V sells for $2,999 and is focused around AI and scientific simulation processing. Nvidia claims up to 110 teraflops of performance from its 21.1 billion transistors, with 12GB of HBM2 memory, 5120 CUDA cores, and 640 “tensor cores” that are said to offer up to 9 times the deep-learning performance of its predecessor. Utilizing the Tensor cores will require custom code—it’s not something that you’ll immediately benefit from in games—so this is definitely not intended to be the ultimate gaming graphics card for next year. In fact, I suspect we’ll see something like a GV102 core at some point that completely omits the Tensor cores, perhaps even sticking with GDDR5X or GDDR6 memory instead of HBM2, but it could be some time before such a product materializes. Of course, benchmarking is only half the battle, as it is rarely accurate to real-world performance, but it does give a good indicator of what to expect for Nvidia’s upcoming Volta line of graphics cards. In-game performances show the Titan V averaging a solid 157 FPS on Gears of War set at 1440p Ultra, dipping down to 76 FPS on Ashes of the Singularity’s 1440p Crazy setting benchmark.

I’m sure their marketing folks are good honest people, but there are multiple factors at play here. One, I’m sure there is still room for improvement from the software side to extract every bit of the Volta’s super fast Tensor cores. But even then, if most code paths do not conform to the conditions that allow for maximum theoretical performance (see A FEW RULES in “Programming Tensor Cores in CUDA 9 by NVIDIA), there’s only so much you can do.