Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software platform
|
| gptkbp:compatibleWith |
Docker
Kubernetes |
| gptkbp:constructedIn |
NVIDIA_AI_technology
|
| gptkbp:designedFor |
healthcare
|
| gptkbp:developedBy |
NVIDIA Corporation
|
| gptkbp:enables |
data management
AI model deployment |
| gptkbp:enhances |
clinical workflows
|
| gptkbp:facilitates |
collaborative workflows
|
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA Clara Deploy
|
| gptkbp:includes |
pre-trained models
|
| gptkbp:integratesWith |
NVIDIA GPUs
|
| gptkbp:is_available_in |
NVIDIA NGC
|
| gptkbp:is_designed_to |
research institutions
improve patient outcomes reduce time to market medical device manufacturers enhance diagnostic accuracy healthcare_providers |
| gptkbp:is_integrated_with |
NVIDIA RAPIDS
NVIDIA TensorRT NVIDIA DLA |
| gptkbp:is_part_of |
NVIDIA Clara ecosystem
NVIDIA's_healthcare_strategy |
| gptkbp:is_recognized_for |
innovation in AI healthcare solutions
|
| gptkbp:is_supported_by |
NVIDIA_developer_community
|
| gptkbp:is_used_in |
clinical trials
personalized medicine predictive analytics genomics object detection pathology radiology image segmentation clinical decision support patient monitoring natural language processing in healthcare drug_discovery |
| gptkbp:offers |
customizable workflows
training resources deployment tools model training capabilities |
| gptkbp:performance |
large datasets
|
| gptkbp:provides |
real-time analytics
user-friendly interface scalable infrastructure AI-powered medical imaging API_access |
| gptkbp:supports |
data visualization tools
data privacy compliance deep learning frameworks interoperability standards multi-modal data |
| gptkbp:utilizes |
cloud computing
|