Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:architect
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:NVIDIA_Pascal
|
| gptkbp:architect |
Volta
|
| gptkbp:developed_by |
gptkb:DJ
|
| gptkbp:has_ability |
7.0
|
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA Volta
|
| gptkbp:key |
scalability
high throughput enhanced security features improved energy efficiency virtualization support support for advanced shading techniques support for augmented reality support for virtual reality support for data analytics support for machine learning Tensor performance support for cloud computing support for big data processing support for edge computing enhanced memory bandwidth support for high-resolution displays support for scientific computing support for high-performance computing applications AI inference capabilities support for robotics NV Link support for deep learning frameworks F P16 performance F P32 performance F P64 performance hardware support for AI workloads multi-instance GPU support for AI-driven graphics support for autonomous machines support for graphics rendering support for multi-GPU configurations support for real-time ray tracing support for simulation workloads |
| gptkbp:performance |
high-performance computing
|
| gptkbp:predecessor |
gptkb:NVIDIA_Pascal
|
| gptkbp:produced_by |
12 nm
|
| gptkbp:ram |
HB M2
|
| gptkbp:release_date |
gptkb:2017
|
| gptkbp:successor |
gptkb:NVIDIA_Turing
gptkb:NVIDIA_Ampere |
| gptkbp:supports |
gptkb:Tensor_Cores
gptkb:CUDA |
| gptkbp:target_market |
gptkb:Research_Institute
data centers deep learning |
| gptkbp:used_in |
gptkb:NVIDIA_Tesla_V100
gptkb:NVIDIA_Titan_V |