Statements (59)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:XMPP_Extension_Protocol
|
gptkbp:benefits |
big data analytics
healthcare applications |
gptkbp:competes_with |
gptkb:AMD_Infinity_Fabric
|
gptkbp:developed_by |
gptkb:DJ
|
gptkbp:enables |
multi-GPU configurations
GPU-to-GPU communication |
gptkbp:enhances |
AI workloads
|
gptkbp:facilitates |
large-scale simulations
|
gptkbp:features |
bidirectional communication
|
https://www.w3.org/2000/01/rdf-schema#label |
NVLink 2.0
|
gptkbp:improves |
data transfer rates
NV Link 1.0 |
gptkbp:is_adopted_by |
cloud service providers
research institutions |
gptkbp:is_aform_of |
gptkb:NVIDIA's_Ampere_architecture
|
gptkbp:is_compatible_with |
gptkb:NVIDIA's_Tensor_RT
gptkb:DJ NVIDIARTX series NVIDIA's deep learning SD Ks |
gptkbp:is_critical_for |
real-time analytics
data-intensive applications |
gptkbp:is_designed_for |
high-performance computing
|
gptkbp:is_designed_to |
reduce bottlenecks
|
gptkbp:is_implemented_in |
gptkb:NVIDIA_A100_Tensor_Core_GPU
|
gptkbp:is_integrated_with |
CUDA programming model
NVIDIA's AI frameworks |
gptkbp:is_optimized_for |
deep learning
high-throughput workloads |
gptkbp:is_part_of |
gptkb:NVIDIA's_GPU_architecture
NVIDIA's data center solutions NVIDIA's enterprise solutions NVIDIA's cloud offerings NVIDIA's high-performance computing ecosystem |
gptkbp:is_supported_by |
NVIDIA's software stack
NVIDIADGX systems NVIDIA's developer tools |
gptkbp:is_used_for |
real-time data processing
3 D rendering |
gptkbp:is_used_in |
image processing
data centers scientific computing supercomputers video rendering machine learning frameworks |
gptkbp:is_utilized_in |
gptkb:robot
gptkb:Research_Institute financial modeling |
gptkbp:key |
gptkb:engine
edge computing high-performance AI training |
gptkbp:offers |
higher memory bandwidth
|
gptkbp:provides |
scalable performance
low latency connections |
gptkbp:released_in |
gptkb:2019
|
gptkbp:supports |
virtualization
high bandwidth communication NV Switch |
gptkbp:used_in |
NVIDIAGP Us
|