NVIDIA Data Center Solutions
GPTKB entity
Statements (60)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:research_center
|
gptkbp:deployment |
supercomputers
|
gptkbp:developed_by |
gptkb:NVIDIA_Corporation
|
gptkbp:enables |
machine learning workloads
|
gptkbp:focuses_on |
AI and deep learning
|
https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA Data Center Solutions
|
gptkbp:includes |
gptkb:NVIDIA_DGX_Systems
gptkb:NVIDIA_A100_Tensor_Core_GPU NVIDIA RTX Server |
gptkbp:is_compatible_with |
gptkb:Kubernetes
gptkb:Tensor_Flow gptkb:Py_Torch gptkb:Open_Stack various cloud platforms |
gptkbp:is_designed_for |
enterprise applications
data-intensive workloads |
gptkbp:is_designed_to |
reduce latency
accelerate workloads |
gptkbp:is_integrated_with |
gptkb:NVIDIA_AI_Enterprise_software
NVIDIA Spectrum networking NVIDIA networking solutions |
gptkbp:is_known_for |
energy efficiency
flexibility scalability cost-effectiveness high reliability |
gptkbp:is_optimized_for |
AI inference
|
gptkbp:is_part_of |
NVIDIA's AI ecosystem
NVIDIA's cloud strategy NVIDIA's enterprise solutions. NVIDIA's overall product portfolio |
gptkbp:is_used_by |
research institutions
|
gptkbp:is_used_for |
image processing
big data processing natural language processing |
gptkbp:is_used_in |
gptkb:Telecommunications
gptkb:financial_services data centers energy sector government applications |
gptkbp:is_utilized_for |
healthcare applications
robotics applications |
gptkbp:is_utilized_in |
gptkb:automotive_industry
smart cities retail analytics |
gptkbp:offers |
data analytics solutions
software development kits |
gptkbp:provides |
GPU-accelerated computing
high-performance computing real-time analytics high throughput virtualization capabilities |
gptkbp:supports |
gptkb:cloud_computing
multi-cloud environments edge computing containerized applications AI training |
gptkbp:utilizes |
NVIDIA CUDA architecture
|
gptkbp:bfsParent |
gptkb:NVIDIA_Tensor_Core_Technology
|
gptkbp:bfsLayer |
6
|