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Nvidia’s New Titan V Pushes 110 Teraflops From A Single Chip

Updated12/8/2017, 2:45pm PT: Added credit for spec table

Nvidia announced a new Titan-class GPU that puts the previous model to shame. The company put the power of its GV100 Volta GPU into a desktop-class graphics card—for science!

Nvidia’s new Titan V offers an unprecedented level of computing performance in a single graphics card. The company said that the Titan V produces 9x more performance than the Titan Xp in deep learning compute tasks.

The Titan V features Nvidia’s GV100 GPU, which debuted earlier this year in the Tesla V100 data center card. The GV100 GPU is fabricated on TSMC 12nm FFN high-performance manufacturing process and boasts a massive 815mm2 die with 21.1 billion transistors. The chip features 5,120 Cuda cores for traditional GPU compute power,and 640 Tensor cores for deep learning. The Cuda cores and Tensors cores all operate at 1,200MHz with the potential to boost to 1,455MHz.

The Titan V cards also include 12GB of 1.7 Gb/s HMB2 memory that operates on a 3,072-bit memory bus and provides 653 GB/s of memory bandwidth. Nvidia said that the card also features a new combined L1 data cache and shared memory unit, which “improves performance while also simplifying programming.”

The Titan V’s Volta architecture also offers independent integer and floating-point data paths, which enables the GPU to handle workloads that require both computation and addressing calculations with better efficiency than previous GPU architectures could.

“Our vision for Volta was to push the outer limits of high performance computing and AI. We broke new ground with its new processor architecture, instructions, numerical formats, memory architecture and processor links,” said Jensen Huang, Founder, and CEO of Nvidia. “With TITAN V, we are putting Volta into the hands of researchers and scientists all over the world. I can’t wait to see their breakthrough discoveries.”

Comes With Software

Nvidia emphasized that the Titan V is meant for scientists and researchers. The company said that anyone who purchases a Titan V graphics card would be granted access to “Nvidia-optimised deep learning frameworks, third-party managed HPC applications, Nvidia HPC visualization tools, and the Nvidia TensorRT inferencing optimizer.”

This One’s Not For Games

Nvidia’s Titan series graphics cards were never meant for gamers. The cards are meant for scientists who can use the advanced computational capabilities of Nvidia’s graphics hardware. Though Nvidia doesn’t market the Titan directly to consumers, that doesn’t stop gamers with deep pockets from picking up the best GPU money could buy.

With the Titan V, gamers likely won’t be as enticed to drop one into their PC. The cards boast incredibly high Tensor compute performance, but it’s unclear how that would translate to gaming performance. What’s more, Nvidia isn’t asking $1,200 for the Titan V as it did with the Titan X, Titan X pascal, and Titan Xp. The Titan V is available now and you can order them directly from Nvidia's website, but this time around, Nvidia is asking for big bucks for the Titan-level card. If you want a Titan V, get ready to pony-up a whopping $2,999. That’s Titan Z territory, but the Titan V doesn’t include two GPUs as the Z did.

Spec Table Credit: AnandTech

ProductTitan VTesla V100 (PCIe)Tesla P100 (PCIe)Titan Xp
CUDA Cores5,1205,1203,5843,840
Tensor Cores640640N/AN/A
Core Clock1,200MHz??1,485MHz
Boost Clock(s)1,455MHz1,370MHz1,300MHz1,582MHz
Memory Clock1.7 Gb/s HBM21.75 Gb/s HBM21.4 Gb/s HBM211.4 Gb/s GDDR5X
Memory Bus Width3072-bit4096-bit4096-bit384-bit
Memory Bandwidth653 GB/s900 GB/s720 GB/s547 GB/s
L2 Cache4.5MB6MB4MB3MB
Half Precision30 TFLOPS?28 TFLOPS18.7 TFLOPS0.19 TFLOPS (1/64 rate)
Single Precision15 TFLOPS14 TFLOPS9.3 TFLOPS12.1 TFLOPS
Double Precision7.5 TFLOPS?7 TFLOPS4.7 TFLOPS0.38 TFLOPS
(1/2 rate)(1/2 rate)(1/2 rate)(1/32 rate)
Tensor Performance (Deep Learning)110 TFLOPS112 TFLOPSN/AN/A
Die Size815mm2815mm2610mm2471mm2
Transistor Count21.1B21.1B15.3B12B
Manufacturing ProcessTSMC 12nm FFNTSMC 12nm FFNTSMC 16nm FinFETTSMC 16nm FinFET
Launch Date12/07/2017Q3'17Q4'1604/07/2017
Kevin Carbotte is a Contributing Writer for Tom's Hardware US. He writes news and reviews of graphics cards and virtual reality hardware.