Accelerate artificial intelligence (AI) and machine learning (ML) models with the D2iQ Kubernetes Platform and NVIDIA DGX™ Systems
As organizations attempt to develop and run machine learning models, they rapidly run into a series of challenges. Data scientists find that they must set up and interact with a complex hardware and software stack. They also face slow performance as well as failures at scale. Lastly, the accumulation of data tends to also attract additional services and applications, creating data gravity. All of which begins to have a compounding effect, causing complexity and preventing digital transformation from occurring.
D2iQ with NVIDIA DGX Systems Ensures Your Successful Day 2 Operations from Day 1
- Provides advanced governance, security, and compliance capabilities for AI and ML models with NVIDIA DGX systems.
- Enables AI and ML prototypes to be moved easily to production environments where they will generate measurable business impact.
- Delivers AI and ML model processing at scale from any location including the edge.
- Expert training, services, and support necessary to assist your team in standing up and operating your deployment.
Benefits of D2iQ with NVIDIA DGX Systems
Time to Market
Enterprise-Grade Functionality
Security and Multi-Tenancy
Joint Solution Capabilities with NVIDIA
With DKP, NVIDIA customers can now simplify model deployment to speed up production processes on their NVIDIA DGX systems, narrowing the time from prototype to production to hours instead of months, all while hiding the complexities of Kubernetes. In addition, DKP ensures data scientists are presented with only relevant information and tools, including training, tuning, and deploying models with Python in notebooks.