Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:NVIDIA
|
| gptkbp:architecture |
Volta
|
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:has_ability |
7.0
|
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA Volta
|
| gptkbp:key_feature |
gptkb:NVLink
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 FP32 performance FP64 performance 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 support for deep learning frameworks 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 FP16 performance |
| gptkbp:manufacturing_process |
12 nm
|
| gptkbp:memory_type |
gptkb:HBM2
|
| gptkbp:performance |
high-performance computing
|
| gptkbp:predecessor |
gptkb:NVIDIA_Pascal
|
| gptkbp:release_date |
gptkb:2017
|
| gptkbp:successor |
gptkb:NVIDIA_Turing
gptkb:NVIDIA_Ampere |
| gptkbp:supports |
gptkb:Tensor_Cores
gptkb:CUDA |
| gptkbp:target_market |
gptkb:AI_technology
data centers deep learning |
| gptkbp:used_in |
gptkb:NVIDIA_Tesla_V100
gptkb:NVIDIA_Titan_V |
| gptkbp:bfsParent |
gptkb:NVIDIA
|
| gptkbp:bfsLayer |
4
|