HPE Virtual Desktops: Better than Public Cloud

Presented by

Gene Manako, NVIDIA ; Steve Schall, HPE ; Shawn Ahlers, HPE; Bill Connor, HPE

About this talk

HPE Virtual Desktops: Better than Public Cloud September 15th – 12:00 EST (11AM Central) HPE Accelerated VDI aaS vs VDI in the Public Cloud: Join us for a virtual lunch and learn how HPE & NVIDIA’s virtual desktop solutions are providing a better end-user experience for all types of GPU-accelerated applications, while also saving our customers money! Learn from real-world examples: · What types of desktop applications run better on-prem and provide a better end-user experience? · How HPE virtual desktop solutions can save you money vs. running in the public cloud · How HPE GreenLake VDI can simplify lifecycle management, provide flexibility, and improved security · How HPE’s solutions utilize the latest NVIDIA GPU technology to provide best-in-class performance, density, and energy efficiency Also: Learn how you can apply for a FREE VDI consultation to provide you with practical recommendations and guidance for your business. * NVIDIA Privacy Policy : https://www.nvidia.com/en-us/about-nvidia/privacy-policy/

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HPE and NVIDIA deliver an industry-leading portfolio of optimized artificial intelligence (AI) solutions that provide the technology power and consumption flexibility you need to transform your business. NVIDIA’s pioneering systems, apps, and models combined with the expertise and comprehensive set of computing and infrastructure breakthroughs from HPE can help you unlock the value of AI and lead to data-first modernization. Together, we enable your business to gain deeper insights and maintain your competitive edge. • Tap into the right expertise For custom NVIDIA-based AI and edge deployments, work with experienced advisory and professional services teams to leverage our tested HPE Cloud Adoption Framework. • Optimize IT Quickly spin up containerized AI and machine learning environments and offload management of your data science ecosystem so you can deploy resources and capacity to reach better business outcomes. • Achieve faster time to value Streamline AI and high performance computing workloads across business units to improve performance, helping data scientists, developers, IT teams, and researchers get back to building solutions, gathering insights, and accelerating time to value. • Pay only for what you need Stay ahead of the variability of AI, ML, and HPC workloads and reduce infrastructure costs with active capacity management based on a pay-per-use model. By operationalizing systems with the flexibility you need for GPU workloads, you save significant overhead expenses. • Fully managed Offload the burden of operating IT and free up resources with a fully managed and supported NVIDIA GPU environment. See how HPE and NVIDIA together deliver real-time AI with game-changing insights at the intelligent edge.