The Fastest way to Train & Optimize Large Scale Machine Learning Models

Presented by

Hoang Phan, HPE AI Solution Engineering; Chun Sun, HPE Product Manager; Andrew Taylor, NVIDIA Alliance Manager at HPE

About this talk

Time is precious. As data scientists and developers, you are tasked with accelerating time to production but doing so with lower cost. Sound like an impossible task? Not in our world. Join our webinar with experts from HPE who will demonstrate how you can reduce the time to value for model developers by removing the need to write infrastructure code and making it easy for IT administrators to set up, manage, secure, and share AI and HPC compute clusters. Intrigued? With the HPE Machine Learning Development System you get everything needed to scale AI models easily from idea to impact — a model training and development software platform, high-performance computing, infrastructure software, networking components, accelerators, start-up services, and solution support — all preconfigured, fully installed, and performance out of the box. In 60 minutes, walk away with insights on how to: - Train models faster using state-of-the-art distributed training - Automatically find high-quality models with advanced hyperparameter tuning - Get more from your NVIDIA Infiniband networking and A100 GPUs with smart scheduling and seamlessly cut cloud GPU costs - Track and reproduce work with experiment tracking - Streamline the maintenance of your compute clusters

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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.