ArticlesC2 Fall 2022 Introducing Qualcomm Cloud AI 100 Accelerators for HPE Edgeline Converged Edge Systems by John Schmitz October 16, 2022 written by John Schmitz October 16, 2022 HPE and Qualcomm are collaborating to deliver high performance and power efficient solutions for customers deploying ML/DL models at the edge. AI Inference workloads are often larger in scale than training workloads and frequently need to meet specialized requirements such as low-latency and high-throughput to enable real-time results. That’s why the best model deployment infrastructure often differs from what’s needed for development and training. In addition, customers deploying AI inference workloads at the edge often require hardware that is not only high performant and reliable but compact in size, and energy efficient. To that end, HPE has collaborated with Qualcomm Technologies to bring customers an AI Inference solution that delivers insights with power-performant infrastructure that can also meet the unique challenges presented by edge deployments. The HPE Edgeline EL8000 integrated with Qualcomm Cloud AI 100 delivered more than 75,000 inferences/second on computer vision workloads and 2,800 inferences/second on NLP (natural language processing) workloads. These results were delivered on HPE Edgeline, which is optimized for 0-55C operating environments while consuming less than 500 Watts. HPE also delivered leading results for high-performance power efficiency in this category. See www.com/ai/qualcomm-ai100 URL for details on these recent ML Perf results HPE Edgeline EL8000 systems with Qualcomm Cloud AI 100 accelerators are available now where high-performance, power efficiency, and server ruggedization are needed. Learn more at HPE Edgeline inference platform with Qualcomm Cloud AI 100 accelerators AI Inference workloadsArtificial IntelligenceConnect ConvergeConnect HPE User CommunityConnect WorldwideConnectConvergeHewlett Packard EnterpriseHPEHPE EdgelineHPE Edgeline Converged Edge SystemsHPE Edgeline EL8000HPE user communityHPE User GroupJohn SchmitzML/DLNLPQualcommQualcomm Cloud AI 100 0 comment 0 FacebookTwitterPinterestEmail John Schmitz previous post Recap HPE Discover 2022 next post Modernize your data management with HPE GreenLake and Cohesity You may also like Modern file storage accelerates the AI-driven search for... August 31, 2023 Historic collaboration: Next-gen virtual infrastructure accelerates apps, boosts... October 16, 2022 Modernize the hospital data center with personalized healthcare... October 16, 2022 Are we on the path to a National... October 16, 2022 The Struggle with Threat Intelligence October 16, 2022 Modernize your data management with HPE GreenLake and... October 16, 2022 Recap HPE Discover 2022 October 16, 2022 Making App Modernization Easier with HPE and vFunction October 16, 2022 The Insider Threat Problem: Your biggest threat may... October 16, 2022 Accelerate and Automate SAP HANA Security Compliance with... October 16, 2022