Automate Quality Assurance Processes with AI from HPE, NVIDIA, and Relimetrics

Presented by

Rashmi Kumar, CIO, HPE; Kemal Levi, CEO, Relimetrics; Piyush Modi- Business Development & Chief Strategist, NVIDIA

About this talk

Please join HPE, NVIDIA, and Relimetrics for a live discussion and demonstration of No Code Industrial Grade Quality and Assembly Automation - all powered by Artificial Intelligence. Plus learn and get insights from Rashmi Kumar, HPE CIO, on how HPE fully leveraged the solution to enhance its own IT operations. Amidst COVID-19 limitations, supply chain disruptions, and the increasing demand for an easy-to-use and adaptable automation software to improve manufacturing efficiency, industrial automation through AI can help your company transform processes, boost ROI of existing hardware, and scale rapidly across inspection sites at highly variable production environments. This application will also help you generate significant savings by reducing scrap, rework, and minimizing customer complaints.

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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.