At its annual GPU Technology Conference, Nvidia made the case for using GPUs not only to train ever bigger models, but also to run these neural networks in data centers to revolutionize industries. It’s also got a 4,096-bit memory bus width, compared with the standard 3,072-bit, and a 6MB rather than 4.5MB L2 Cache. 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. Nvidia hasn’t revealed pricing for the limited edition model, but AnandTech has detailed specs that suggest if it is released to retail, it may cost somewhere between the standard Titan V and Nvidia’s much more expensive Tesla V100 GPUs. Huang unveiled the ‘Titan V CEO Edition’ at the Computer Vision and Pattern Recognition conference in Salt Lake City, Utah, where he gave away 20 of the cards to AI researchers working on robotics and autonomous driving projects.

Trying to resist the urge to buy one of these, as my only DP capable GPUs are 2 Tesla K20c, and the Titan V is equivalent to at least 4 K20 GPUs in terms of 64-bit compute. Nvidia says the heart of their project is Jetson Xavier, the world’s first computer designed specifically for robotics. Nvidia CEO Jensen Huang has given away 20 Titan V CEO Edition GPUs to AI researchers.

Nvidia’s current Pascal architecture was introduced over a year and a half ago with the GTX 1080, which still remains one of the best gaming GPUs available — only really topped in performance by its turbocharged successor, the GTX 1080 Ti. Volta GPUs will be a lot more expensive for Nvidia to produce, so the company may want to ride out the Pascal wave as long as it can. Lets see the simple stuff first, more cuda cores, better arch gives usual Nvidia new gen improvements.

The NVIDIA TITAN V is based on the GV100 GPU architecture and features a total of 5120 CUDA cores and 320 texture units. In addition to the regular cores, the card also packs 640 Tensor Cores inside the Volta GPU. These are geared for maximum deep learning performance as the card can crunch up to 110 TFLOPs of GPU performance for AI related algorithms. Even with such hefty specs, the card only requires an 8 and 6 pin power connector configuration to boot and comes in a 250W package. When we last discussed the NVIDIA Titan V in our preview, it was only a few weeks after its surprise launch at the 2017 Neural Information Processing Systems conference. We came away with the understanding that the Volta-based Titan V was a new breed of NVIDIA’s prosumer line of video cards, one that essentially encapsulated NVIDIA’s recent datacenter/compute achievements and how they got there.

Little bit of background info before we get into TensorCores, usually people used to train NNs on FP32 (Single Precision) but nowadays single precision also works fine for DL and has led to lot of improvements as Nvidia is exploiting it now. So, all the TeraFlops which they advertise should have a small asterix explaining the context. 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. To be more specific, each Tensor Core performs 64 floating point FMA mixed-precision operations per clock.

When tested on Unigine Heaven’s 1440p preset, the Titan V managed an average of 126 frames per second. This places the new card at a raw performance increase of between 26 percent and 87 percent, more a marginal boost. Nvidia notes that Titan V sports a major overhaul of the streaming multiprocessor at the heart of the card, and it’s twice as energy-efficient as its Pascal predecessor. As mentioned, this is aimed at serious applications by scientific researchers in the fields of AI and high-performance computing in general, with a focus also on energy efficiency as well as power. This card has almost all the features of the 10K$ Tesla V100 at slightly lower performance.

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 calculations, don’t count on that happening—Tensor code will need to be specifically written for the processors. The TimeSpy score is the easiest way to see the performance gains and it’s quite noticeable with a score crossing the 10,000 point mark. For reference, the machine used to test these cards is an i7-6700k, 16GB of RAM with Samsung 840 EVO SSD that is running on top of an MSI Z170A KRAIT GAMING motherboard.

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NVIDIA’s Titan V is the latest “desktop” GPU built upon the Volta architecture boasting 110 “deep learning” TFLOPS in the spec sheet. Compare that with 1080 Ti, the current king for the “desktop” GPU, that puts out 11 “normal” TFLOPS with 11GB of GDDR5 memory at a very reasonable $699 sticker price. It seems like Nvidia announces the fastest GPU in history multiple times a year, and that’s exactly what’s happened again today; the Titan V is “the most powerful PC GPU ever created,” in Nvidia’s words. It represents a more significant leap than most products that have made that claim, however, as it’s the first consumer-grade GPU based around Nvidia’s new Volta architecture. At stock, the card pumps out a GPU score of 32,774 points and when overclocked, the card delivers almost 36,000 points. A stock TITAN Xp which uses the full Pascal GPU configuration has a graphics score of 28,000 points while the GTX 1080 Ti ends up with a graphics score around 28,300 points.

So yeah, the card was faster in stock to stock comparisons and is just a whole another level when overclocked. When NVIDIA announced the graphics card yesterday, they did it in style, telling consumers that the card is ready to purchase and can be yours if you pay the hefty price of $3000 US. I noticed that many people (including our community readers) went ahead to purchase the graphics card on day one.

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1. The result can be a one-of-a-kind masterpiece, worthy of the hardware residing within.
2. The new Titan V is available from Nvidia now, with a maximum order of two per customer in place.
3. A lover of all things gaming and tech, his previous work has shown up in Kotaku, PCMag, Complex, Tom’s Guide and Laptop Mag among others.
4. I asked Falcon Northwest’s founder, Kelt Reeves, if they were delidding the CPU to help, and he said no.
5. He eventually built his first custom PC in 1990 with a MHz, only to discover it was already woefully outdated when Wing Commander was released a few months later.
6. There are eight special-purpose Tensor cores per SMM cluster, and each Tensor core can perform a 4×4 FMA (fused multiply add) operation per cycle.

He holds a BS in Computer Science from Brigham Young University and has been working as a tech journalist since 2004, writing for AnandTech, Maximum PC, and PC Gamer. From the first S3 Virge ‘3D decelerators’ to today’s GPUs, Jarred keeps up with all the latest graphics trends and is the one to ask about game performance. 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. The latest version of the company’s Tiki naturally includes the Titan V, but the luxurious hardware doesn’t stop there. The potent totem includes Intel’s fastest CPU for gaming, the Core i7-8700K, paired with 32GB of DDR CL14 RAM, and then forget about storage bottlenecks with not one but two Samsung 960 Pro 2TB drives, configured in RAID 0. Yes, it is a beast, yes, it is the high watermark for the industry but for the gaming crowd, it is not a good value in any way as the performance gains are not large enough over a 1080Ti at this time to justify the price tag.

1. The potent totem includes Intel’s fastest CPU for gaming, the Core i7-8700K, paired with 32GB of DDR CL14 RAM, and then forget about storage bottlenecks with not one but two Samsung 960 Pro 2TB drives, configured in RAID 0.
2. 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.
3. Fabricated on a new TSMC 12-nanometer FFN high-performance manufacturing process customized for NVIDIA, TITAN V also incorporates Volta’s highly tuned 12GB HBM2 memory subsystem for advanced memory bandwidth utilization.
4. By finagling in an Asetek 550LC liquid-cooling solution and ensuring the radiator gets sufficient airflow.
5. Ditching these (or at least reducing the number of each core type) could easily reduce the die size.
6. Volta is a brand-new architecture that’s quite different from Pascal and Maxwell, with 64 CUDA cores per SM (instead of the usual 128), HBM2 memory, and other changes that Nvidia hasn’t fully disclosed at this time.
7. Considering the sums being thrown at AI, the price of the card is inconsequential.

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The question now is whether and when Nvidia will release the product to retail, given the effort it titan v price expended to create this special edition Titan V card.

For NVIDIA, considering that Pascal has been around for over 2 years now, Volta is conspicuously absent from recent speculation over the next GeForce generation. In looking at the Titan V today, it almost seems that NVIDIA’s divergence is imminent. Even in the case of a Volta-based GeForce launch, the implementation of consumer Volta would be a very big hint at the future direction of GPUs, gaming and compute alike.

NVIDIA has just announced their latest TITAN graphics card based on the Volta GPU architecture, the TITAN V. The NVIDIA TITAN V features the latest GPU technologies such as the 12nm Volta GPU architecture coupled with lots of HBM2 memory. Nvidia suggests you’ll get up to 110 teraflops from the GPU’s 21.1 billion transistors. It also has 12GB of memory, and, for machine learning, 5120 CUDA cores and 640 tensor cores. Note that unlike previous GeForce and Titan cards, the Titan V is using the full capabilities of the Volta GV100 architecture. This results in some interesting options, including double-speed FP16 CUDA calculations. The GPU can also run FP32 CUDA calculations at up to 14.9 TFLOPS, or FP64 at half that level, 7.45 TFLOPS.

From what i’ve seen, its because they can leverage 8-bit calculations in inference mode as you dont need that high precisions. Needless to say, Nvidia’s Titan V spells great news for its upcoming line of Volta cards that are expected to arrive early next year. Fabricated on a new TSMC 12-nanometer FFN high-performance manufacturing process customized for NVIDIA, TITAN V also incorporates Volta’s highly tuned 12GB HBM2 memory subsystem for advanced memory bandwidth utilization. Darren is a freelancer writing news and features for TechRadar (and occasionally T3) across a broad range of computing topics including CPUs, GPUs, various other hardware, VPNs, antivirus and more. He has written about tech for the best part of three decades, and writes books in his spare time (his debut novel – ‘I Know What You Did Last Supper’ – was published by Hachette UK in 2013).