|
gptkbp:instance_of
|
gptkb:microprocessor
|
|
gptkbp:available_at
|
NVIDIA partners
|
|
gptkbp:designed_for
|
gptkb:AI_technology
|
|
gptkbp:features
|
gptkb:NVIDIA_A100_Tensor_Core_GPUs
high-speed interconnects
|
|
gptkbp:has
|
8 GPU configurations
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA's DGX A100 system
|
|
gptkbp:includes
|
NVIDIA DGX software stack
|
|
gptkbp:is_available_for
|
purchase
|
|
gptkbp:is_available_in
|
various configurations
rack-mounted form factor
|
|
gptkbp:is_capable_of
|
real-time inference
training large AI models
|
|
gptkbp:is_compatible_with
|
gptkb:Kubernetes
gptkb:NVIDIA_CUDA
gptkb:Docker
|
|
gptkbp:is_designed_for
|
data science
|
|
gptkbp:is_designed_to
|
accelerate AI workloads
|
|
gptkbp:is_equipped_with
|
gptkb:NVIDIA_Mellanox_networking
|
|
gptkbp:is_integrated_with
|
gptkb:NVIDIA_NGC
|
|
gptkbp:is_known_for
|
energy efficiency
flexibility
high throughput
|
|
gptkbp:is_optimized_for
|
deep learning workloads
AI training
|
|
gptkbp:is_part_of
|
gptkb:NVIDIA_DGX_family
AI hardware solutions
AI supercomputing solutions
NVIDIA's AI platform
|
|
gptkbp:is_supported_by
|
NVIDIA's ecosystem
NVIDIA support services
|
|
gptkbp:is_targeted_at
|
gptkb:educational_institutions
government agencies
data scientists
large enterprises
machine learning engineers
AI developers
|
|
gptkbp:is_used_by
|
research institutions
enterprise companies
|
|
gptkbp:is_used_for
|
gptkb:vehicles
gptkb:scientific_research
financial modeling
healthcare analytics
|
|
gptkbp:is_used_in
|
gptkb:cloud_computing
big data analytics
machine learning research
|
|
gptkbp:offers
|
scalability
|
|
gptkbp:provides
|
high-performance computing
high memory bandwidth
AI infrastructure
|
|
gptkbp:released_in
|
gptkb:2020
|
|
gptkbp:runs_through
|
multiple frameworks
|
|
gptkbp:supports
|
gptkb:Tensor_Flow
gptkb:NVIDIA_NVLink
gptkb:Py_Torch
multi-instance GPU technology
|
|
gptkbp:used_in
|
data centers
|
|
gptkbp:bfsParent
|
gptkb:NVLink
|
|
gptkbp:bfsLayer
|
5
|