Statements (71)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:architect
|
| gptkbp:bfsLayer |
6
|
| gptkbp:bfsParent |
gptkb:NVIDIA's_Pascal
|
| gptkbp:architect |
Volta
|
| gptkbp:architectural_style |
parallel processing
|
| gptkbp:developed_by |
gptkb:DJ
|
| gptkbp:features |
gptkb:Tensor_Cores
|
| gptkbp:has_ability |
7.0
|
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA's Volta
|
| gptkbp:introduced |
GTC 2017
|
| gptkbp:is_designed_for |
AI and deep learning
|
| gptkbp:key |
gptkb:musician
gptkb:microprocessor gptkb:software_framework gptkb:Cloud_Computing_Service gptkb:robot gptkb:engine gptkb:technology gptkb:Research_Institute image processing enterprise applications advanced algorithms big data processing computer vision data analytics data visualization energy efficiency flexibility high-performance computing low latency natural language processing parallel computing ray tracing real-time processing scalability video processing data mining edge computing high-performance applications graphics rendering high throughput deep learning frameworks scientific simulations convolutional neural networks data center optimization algorithm optimization high-performance graphics AI inference multi-GPU support recurrent neural networks simulation modeling deep neural networks high-performance networking deep learning training 3 D rendering Io T applications |
| gptkbp:manufacturer |
12 nm process
|
| gptkbp:performance |
gptkb:NVIDIA_Pascal
|
| gptkbp:power_consumption |
300 watts
|
| gptkbp:predecessor |
gptkb:NVIDIA_Pascal
|
| gptkbp:ram |
900 GB/s
HB M2 |
| gptkbp:released_in |
gptkb:2017
|
| gptkbp:successor |
gptkb:NVIDIA_Turing
gptkb:NVIDIA_Ampere |
| gptkbp:supports |
CUDA 9.0
NV Link |
| gptkbp:target_market |
data centers
|
| gptkbp:used_in |
gptkb:NVIDIA_Tesla_V100
gptkb:NVIDIA_Titan_V NVIDIA Quadro G V100 |