NVIDIA EGX Platform Integrations

The Domino platform helps data science teams improve the speed, quality, and impact of data science at scale. Domino is open and flexible, empowering professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Self-Service Infrastructure Portal makes data science teams become more productive with easy access to their preferred tools, scalable compute, and diverse data sets. The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle. The System of Record allows teams to easily find, reuse, reproduce, and build on any data science work to amplify innovation.

Junos Traffic Vision is a licensed traffic sampling application for MX Series 3D Universal Edge Routers. It provides details on network traffic flows that is useful for a wide variety of operations and planning activities. Junos Traffic Vision monitors packets as they are processed by the router, and captures details such as source and destination addresses, packet and byte count information. These details are aggregated and exported in a standards-based format for analysis and presentation by Juniper and third-party-based tools that support usage-based accounting, traffic profiling, traffic engineering, attack and intrusion detection, and SLA monitoring. Implemented inline and on service cards that provide high performance and scale, Junos Traffic Vision can be deployed in both active and passive configurations and can take place alongside lawful intercept filtering and port mirroring without impacting performance.

We want ML engineers to worry less about data engineering and focus on what they love, building better models in less time. Our product is a powerful framework that makes it 10x easier and faster for developers to explore, understand and share visual data at scale. Automatically create custom interval attributes using pre-trained extractors or any other model. Visualize data and analyze model performance using custom attributes combined with all common KPIs. Use custom attributes to query, find rare edge cases and curate new training data across your whole data lake. Easily save, edit, version, comment and share frames, sequences or objects with colleagues or 3rd parties. SiaSearch, a data management platform that automatically extracts frame-level, contextual metadata and utilizes it for fast data exploration, selection and evaluation. Automating these tasks with metadata can more than double engineering productivity and remove the bottleneck to building industrial AI.

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