HPE is accelerating workloads from edge to cloud and driving leading solutions for HPC, AI, VDI and digital transformation. At GTC 2020 this October 5-9, HPE will showcase our industry-leading solutions designed to help customers gain insights and meet the demands of today’s complex, digital-first environment.
With our continued collaboration, HPE and NVIDIA are committed to delivering best-in class, production-ready solutions that accelerate insight and drive business outcomes for our customers. And while we won’t be able to shake hands in person, the digital GTC experience provides us with a unique opportunity to showcase these solutions to this important community of industry leaders.
Where can you find us at GTC?
Click on the links for each of these HPE sessions for more details on dates and times:
Machine learning projects benefit from container-based platforms and MLOps in many ways to accelerate the build, test, and integrate process. Join our panel of AI and data experts to explore the common challenges of building and distributing AI and machine learning solutions in a production environment.
We’ll share how a major healthcare provider supports data scientists with faster analytics and developers with an efficient AI/ML platform. During the panel, we’ll also discuss leveraging AI containers, pre-trained models, and SDKs from NVIDIA NGC to help accelerate the development-to-deployment process.
AI and machine learning are increasingly driving competitive advantage as businesses find new ways to leverage the technology. Now you can get an end-to-end solution for ML Operations that’s managed for you in a pay-per-use model. Bring the compute power you need right to your factory floor, retail location, data center, co-lo facility, or wherever you need maximum performance and security—without the high upfront cost or lead time.
During this session, we’ll review the gaps that often exist between typical business requirements and the common analytical platforms in use today. We’ll assess how current trends like multi-cloud, accelerated computing, containerization and Kubernetes can fill these capability gaps. We’ll end by discussing how to approach the analytics Industrialization process and what the end state should look like for your information factory.
Productivity and business continuity are top of mind for every CEO. In the current climate, it’s essential to preserve capital and liquidity and to quickly support new ways of working. With increased flexibility comes risks around security, performance, and change management. Learn how you can quickly and securely move to fully digital workplaces accelerated with NVIDIA GPUs, located anywhere, and delivered as a service.
At the extreme edge of your network where the most data is generated: HPE will highlight newly realized AI capabilities in a small, rugged, GPU-enabled platform that supports both inferencing AND training (in an NVIDIA EGX solution). We’ll discuss how to extend the data fabric (via HPE Ezmeral Data Fabric—aka MapR) from the edge to other processing elements in the core data center. At the core data center, HPE has the most secure NVIDIA A100 Tensor Core GPU-accelerated servers to retrain models from the new insights discovered at the edge. Use cases shared include signal intelligence (SIGINT), video analytics (facial recognition), data analytics (data reduction and visualization), as well as a DevSecOps toolkit for Data Science at the Edge with Red Hat.
To register for sessions, see demos, or schedule a sales consultation, visit nvidia.com/gtc, and navigate to the HPE page in your region. You can save 20% on your digital conference badge using this code: XDAbhpcf5rz.
We look forward to seeing you there (virtually that is)!
Sorin Cheran, PhD HPE Fellow VP, Artificial Intelligence Strategy and Solutions Group Hewlett Packard Enterprise
Sorin Cheran is an HPE Fellow and currently serves as VP of HPE’s AI Strategy and Solutions Group which is responsible for the company’s global AI strategy. Since 2007, Sorin has held positions including AI and Chief Architect in Hewlett Packard Labs and as a key member in the Hybrid IT Presales team in the High-Performance Computing (HPC) and AI Competency Center in Grenoble, France.