Statements (112)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:computer
|
| gptkbp:architecture |
gptkb:NVIDIA_DGX
|
| gptkbp:capacity |
up to 256 GPUs
|
| gptkbp:connects |
multiple GPUs
|
| gptkbp:designed_by |
gptkb:NVIDIA_Corporation
|
| gptkbp:designed_for |
AI workloads
|
| gptkbp:developed_by |
gptkb:NVIDIA_Corporation
enterprise-level solutions |
| gptkbp:enables |
multi-GPU setups
GPU virtualization scalable GPU clusters scalable GPU architectures |
| gptkbp:enhances |
gptkb:performance
bandwidth efficiency |
| gptkbp:features |
gptkb:NVLink_technology
non-blocking architecture |
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA NVSwitch
|
| gptkbp:introduced_in |
gptkb:2017
|
| gptkbp:is_a_key_component_of |
gptkb:NVIDIA_HGX_platform
NVIDIA's AI infrastructure |
| gptkbp:is_available_for |
purchase
|
| gptkbp:is_available_in |
various configurations
various models |
| gptkbp:is_available_on |
gptkb:2017
|
| gptkbp:is_compatible_with |
gptkb:NVIDIA_Tensor_Core_GPUs
gptkb:NVIDIA_DGX_A100 gptkb:NVIDIA_Tesla_GPUs gptkb:NVIDIA_GPUs gptkb:NVIDIA_A100_GPUs gptkb:NVIDIA_RTX_GPUs various NVIDIA architectures |
| gptkbp:is_critical_for |
real-time data processing
AI model training deep learning applications high-performance data processing |
| gptkbp:is_designed_for |
high-density environments
high-performance computing real-time data processing AI and machine learning tasks |
| gptkbp:is_designed_to |
maximize performance
reduce bottlenecks maximize efficiency support diverse workloads |
| gptkbp:is_essential_for |
data-intensive applications
large-scale AI deployments AI model inference |
| gptkbp:is_integrated_with |
gptkb:NVIDIA's_AI_platforms
gptkb:NVIDIA_HGX_platforms NVIDIA software stack NVIDIA's AI frameworks NVIDIA's cloud services NVIDIA's software ecosystem |
| gptkbp:is_known_for |
scalability
high throughput flexibility in configurations |
| gptkbp:is_optimized_for |
deep learning
high-performance computing parallel processing large-scale deployments |
| gptkbp:is_part_of |
gptkb:NVIDIA_DGX_systems
gptkb:NVIDIA's_GPU_architecture NVIDIA's data center portfolio NVIDIA's data center solutions NVIDIA's high-performance computing solutions NVIDIA's AI ecosystem NVIDIA's hardware portfolio NVIDIA's innovation strategy NVIDIA's AI supercomputing solutions NVIDIA's GPU cloud solutions NVIDIA's cloud infrastructure NVIDIA's enterprise offerings |
| gptkbp:is_supported_by |
NVIDIA's ecosystem
NVIDIA software stack NVIDIA's technical support |
| gptkbp:is_used_by |
large enterprises
|
| gptkbp:is_used_for |
AI workloads
high-speed data transfer data center networking |
| gptkbp:is_used_in |
gptkb:Telecommunications
gptkb:enterprise_solutions gptkb:AI_technology machine learning applications research institutions scientific computing cloud computing environments supercomputers machine learning research virtualization environments |
| gptkbp:is_utilized_for |
data analytics
|
| gptkbp:is_utilized_in |
gptkb:financial_services
big data analytics cloud computing environments supercomputers AI training |
| gptkbp:key |
AI infrastructure
NVIDIA's data processing capabilities |
| gptkbp:manufacturer |
gptkb:NVIDIA
advanced semiconductor technology |
| gptkbp:offers |
low latency
|
| gptkbp:provides |
high bandwidth
low-latency communication interconnectivity |
| gptkbp:released_in |
gptkb:2017
|
| gptkbp:supports |
gptkb:NVLink
multi-GPU configurations data-intensive applications high-speed interconnects NVLink connections |
| gptkbp:type |
switch
|
| gptkbp:used_in |
data centers
|
| gptkbp:bfsParent |
gptkb:NVIDIA_A100_Tensor_Core_GPU
|
| gptkbp:bfsLayer |
5
|