Nvidia announces Titan V with Volta GPU
Nvidia has announced a new card in its Titan series. Like the Tesla V100 accelerator, the Titan V is equipped with a GV100 GPU, which is based on the Volta architecture. The card has a suggested retail price of $3,000.
Nvidia CEO Jen-Hsun Huang presented the Titan V at the NIPS 2017 conference. He showed off the gold-colored card, which otherwise features the same design and vapor chamber cooler as its predecessor, the Titan Xp.
It is the first card for PCs with a GPU based on the Volta architecture, the GV100. Nvidia also uses this chip with a size of 815mm² and 21.1 billion transistors for its Tesla V100 accelerator. As with that card, Nvidia emphasizes deep learning performance. Thanks to the presence of 640 so-called tensor cores, the performance for training deep learning networks would be 110 tflops.
Compared to the Tesla V100, the Titan V has less memory: 12GB hbm2 versus 16GB hbm2. Also, the 3072-bit memory bus is less wide than that of the Tesla, which has a 4096-bit interface.
The Titan V is a dual slot card with three displayport and hdmi. The tdp is 250W and the card is powered via the 8+6-pin connector, with Nvidia recommending the use of at least a 600W power supply. The card will receive a suggested retail price of USD 3000 from Nvidia, converted and with VAT that is EUR 3,078. The company targets the professional consumer market with the Titan cards.
| Nvidia Titan vs Tesla Specs | ||||||
| Titan V | Tesla V100 (pci-e) |
Tesla P100 (pci-e) |
Titan XP | |||
| Cuda cores | 5120 | 5120 | 3584 | 3840 | ||
| Tensor cores | 640 | 640 | – | – | ||
| Core clock sn. | 1200MHz | ? | ? | 1485MHz | ||
| Boost clock speed | 1455MHz | 1370MHz | 1300MHz | 1582MHz | ||
| Memory | 1.7Gbit/s hbm2 | 1.75Gbit/s hbm2 | 1.4Gbit/s hbm2 | 11.4Gbit/s gddr5x | ||
| Memory interface | 3072-bit | 4096-bit | 4096-bit | 384-bit | ||
| Mem Bandwidth | 653GB/s | 900GB/s | 720GB/s | 547GB/s | ||
| Mem Quantity | 12GB | 16GB | 16GB | 12GB | ||
| L2 cache | 4.5MB | 6MB | 4MB | 3MB | ||
| single precision | 15 tflops | 14 tflops | 9.3 tflops | 12.1 tflops | ||
| Double precision | 7.5 tflops? (1/2 rate) |
7 tflops (1/2 rate) |
4.7 tflops (1/2 rate) |
0.38 tflops (1/32 rate) |
||
| Tensor Performance (Deep Learning) |
110 tflops | 112 tflops | AFTER | AFTER | ||
| GPU | GV100 (815mm²) |
GV100 (815mm²) |
GP100 (610mm²) |
GP102 (471mm²) |
||
| Transistors | 21.1 billion | 21.1 billion | 15.3 billion | 12 billion | ||
| tdp | 250W | 250W | 250W | 250W | ||
| form factor | pci-e | pci-e | pci-e | pci-e | ||
| Cooling | Active | passive | passive | Active | ||
| Production process | TSMC 12nm FFN | TSMC 12nm FFN | TSMC 16nm FinFET | TSMC 16nm FinFET | ||
| Architecture | Volta | Volta | Pascal | Pascal | ||
| Launch date | 07/12/2017 | Q3’17 | Q4’16 | 07/04/2017 | ||
| MSRP | $2999 | ~$10000 | ~$6000 | $1299 | ||
Table compiled by AnandTech