Presented by
Amy Santucci, HPE; Rima Alameddine, NVIDIA; Theresa McCluskey, Deloitte Consulting
8 Smart Factory features that support intelligent operations
About this talk
The digital age of manufacturing requires that a plant be more efficient, traceable, predictable, and manageable than ever before. Equipment performance, process, materials, and environmental conditions are sources of variation that are solved by unlocking Smart Factory capabilities such as:
• Production Tracking
• OEE Insights
• Material Traceability & Prediction
• And continuous Product Inspection.
Tune into this webinar to discover how a Smart Factory model boosts manufacturing efficiencies, cuts costs, and enables plant managers and factory workers to proactively manage asset and scheduling challenges.
The Deloitte Smart Factory, for example, can communicate, analyze, and use information to drive further intelligent actions back into the physical world. Learn more by watching the session.
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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.
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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.