Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Asset_Management
|
| gptkbp:aims_to |
simplify AI deployment
accelerate AI workloads reduce time to market for AI solutions enhance productivity for data scientists |
| gptkbp:designed_for |
gptkb:AI_technology
data analytics deep learning |
| gptkbp:developed_by |
gptkb:NVIDIA_Corporation
|
| gptkbp:features |
gptkb:NVIDIA_GPUs
modular architecture high-capacity storage advanced cooling systems AI frameworks data science tools energy-efficient designs high-speed interconnects AI model optimization |
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA DGX portfolio
|
| gptkbp:includes |
gptkb:DGX-2
gptkb:DGX_Super_POD gptkb:DGX-1 gptkb:DGX_A100 gptkb:DGX_Station_A100 DGX Base Command DGX Cloud DGX-1 H DGX-2 H DGX-Station DGX-Station 2 |
| gptkbp:integrates_with |
gptkb:NVIDIA_NGC
third-party tools AI development platforms |
| gptkbp:offers |
customizable solutions
training and certification programs AI training capabilities AI inference capabilities pre-configured systems |
| gptkbp:provides |
high availability
high-performance computing real-time data processing remote management capabilities collaborative AI development comprehensive support services end-to-end AI solutions scalable AI infrastructure |
| gptkbp:supports |
gptkb:machine_learning
virtualization hybrid cloud environments multi-node configurations NVIDIA software stack cloud-based AI |
| gptkbp:used_by |
large enterprises
research institutions |
| gptkbp:used_in |
gptkb:academic_research
data centers government projects enterprise AI solutions |
| gptkbp:bfsParent |
gptkb:NVIDIA_DGX_Systems
|
| gptkbp:bfsLayer |
5
|