h22166.www2.hpe.com
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16.230.112.18
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Submitted URL: https://h22166.www2.hpe.com/event/eventpage.aspx?eventid=MgA4ADAAMAAzADgA&cc=emea&lang=en#eEssentials
Effective URL: https://h22166.www2.hpe.com/event/eventpage.aspx?eventid=MgA4ADAAMAAzADgA&cc=emea&lang=en
Submission: On September 10 via manual from FR — Scanned from FR
Effective URL: https://h22166.www2.hpe.com/event/eventpage.aspx?eventid=MgA4ADAAMAAzADgA&cc=emea&lang=en
Submission: On September 10 via manual from FR — Scanned from FR
Form analysis 2 forms found in the DOM
Name: hpehf-search-form — https://www.hpe.com/emea_europe/en/search-results.html?page=1&q=&autocomplete=0
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<a href="javascript:void(0);" class="hpehf-srch-menu-close hpehf-close-btn" title="Close" aria-label="Close"><svg width="24" height="24" focusable="false" viewBox="0 0 24 24" fill="#000" xmlns="http://www.w3.org/2000/svg"><polygon points="21.8,23.4 12,13.7 2.2,23.4 0.6,21.8 10.3,12 0.6,2.2 2.2,0.6 12,10.3 21.8,0.6 23.4,2.2 13.7,12 23.4,21.8 "></polygon></svg><span class="hpehf-srch-close-text">Close</span></a>
</form>POST ./eventpage.aspx?eventid=MgA4ADAAMAAzADgA&cc=emea&lang=en
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<h1>Building Self-Hosted Generative AI Solutions at Scale - Frankfurt</h1>
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<a href="https://www.ellistours.de/hpe2024/GenAI@Scale-Frankfurt" target="_blank" style="font-family: "Metric Light", Arial, sans-serif; font-size: 22px;"><img src="https://h40132.www4.hpe.com/filelib/emea/en/638493647411417253_0d7ede335ed7e1534f370d2322916f15.png" target="_blank" alt="Register Button" width="212" height="53"></a>
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<div style="margin:0cm"><strong>In collaboration with NVIDIA, HPE invites you to attend our 'Building Self-Hosted Generative AI Solutions at Scale' workshop in Frankfurt.</strong></div>
<div style="margin:0cm"> </div>
<div style="margin:0cm">If you are an IT professional, Machine Learning Engineer, or Data Scientist tasked with implementing on-prem Gen AI Solutions at Scale, this event is for you!</div>
<div style="margin:0cm"> </div>
<div style="margin:0cm"><strong>What will you get out of the day as an IT professional:</strong></div>
<div style="margin:0cm">•<span style="white-space:pre"> </span>How to build your ML platform for Generative AI</div>
<div style="margin:0cm">•<span style="white-space:pre"> </span>Which infrastructure, platform software, and resources are required when building for scalability</div>
<div style="margin:0cm"> </div>
<div style="margin:0cm"><strong>What will you get out of the day as a Machine Learning Engineer:</strong></div>
<div style="margin:0cm">•<span style="white-space:pre"> </span>How you can scale your AI model training across billions of parameters efficiently and sustainably and simultaneously build production-ready full-stack
GenAI applications</div>
<div style="margin:0cm">•<span style="white-space:pre"> </span>How to quickly deploy NVIDIA Inferencing Microservices (NIMS) with HPE tools </div>
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<div style="margin:0cm"><strong>What will you get out of the day as a Data Scientist:</strong></div>
<div style="margin:0cm">•<span style="white-space:pre"> </span>How to maintain complete reproducibility through data and experiment lineage</div>
<div style="margin:0cm">•<span style="white-space:pre"> </span>How to build a data pipeline across multiple different data silos</div>
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<div style="margin:0cm"><strong>Understand HPE and NVIDIAs joint strategy for enterprise computing solution for Generative AI</strong></div>
<div style="margin:0cm">•<span style="white-space:pre"> </span>How to avoid escalating costs of cloud and why you should consider on-prem deployment with HPE Private Cloud AI</div>
<div style="margin:0cm">•<span style="white-space:pre"> </span>How HPE and NVIDIA provide an unmatched better together solution for Generative AI</div>
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<div style="margin:0cm"><strong>Hands-on AI/ML exercises and demonstrations (remember to bring your laptop!) </strong></div>
<div style="margin-top:1em; margin-bottom:0.5em"><strong>For more insights, check out the video below</strong><br> </div>
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<br>
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<p>
<a href="https://www.ellistours.de/hpe2024/GenAI@Scale-Frankfurt" target="_blank" style="font-family: "Metric Light", Arial, sans-serif; font-size: 22px;"><img src="https://h40132.www4.hpe.com/filelib/emea/en/638493647411417253_0d7ede335ed7e1534f370d2322916f15.png" target="_blank" alt="Register Button" width="212" height="53"></a>
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<p><img src="https://h40132.www4.hpe.com/filelib/emea/en/638585447346585908_1c407bdb345831d4c6e72ddb6cb57625.png" alt="Christophe Menichetti" width="250" height="250"></p>
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<h4>Christophe Menichetti</h4>
<p>AI Solution Architect<br> at HPE</p>
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<h4>Chris Lacey</h4>
<p>HPC & AI Principal Architect<br> at HPE</p>
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<p>EMEA Alliance Director<br> at NVIDIA</p>
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<p><strong>Optimized infrastructure for AI-at-Scale workloads<br> HPE and NVIDIAs joint strategy for Generative AI – HPE Private Cloud AI</strong></p>
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* HPE Home * HPE GreenLake * Products and Solutions * Services * Learn * Support * Contact * Dashboard * Applications * Devices * Manage * * * * * Sign In * * * Your cart Close Close * HPE GreenLake Cloud Consoles * HPE GreenLake Central * Data Services * Compute Ops Management * Aruba Central HPE GreenLake Administration * Manage Account * Manage Devices HPE Resources * HPE Support Center * HPE Financial Services * HPE Developer Community * HPE Communities Close * Sign Out Close * HPE Home * HPE GreenLake * Products and Solutions * Services * Learn * Support * Contact * Dashboard * Applications * Devices * Manage * Shopping Cart * European regional site (EN) BUILDING SELF-HOSTED GENERATIVE AI SOLUTIONS AT SCALE - FRANKFURT Event essentials Event essentials Overview Speakers Agenda Additional info EVENT ESSENTIALS Event Location Design Offices Wiesenhüttenplatz -------------------------------------------------------------------------------- Start date - End date 10. October 2024 -------------------------------------------------------------------------------- Location details Design Offices Wiesenhüttenplatz Wiesenhüttenplatz 25 60329 Frankfurt -------------------------------------------------------------------------------- Last registration date 09. October 2024 00:00 (GMT+1) -------------------------------------------------------------------------------- Free seats -------------------------------------------------------------------------------- OVERVIEW In collaboration with NVIDIA, HPE invites you to attend our 'Building Self-Hosted Generative AI Solutions at Scale' workshop in Frankfurt. If you are an IT professional, Machine Learning Engineer, or Data Scientist tasked with implementing on-prem Gen AI Solutions at Scale, this event is for you! What will you get out of the day as an IT professional: • How to build your ML platform for Generative AI • Which infrastructure, platform software, and resources are required when building for scalability What will you get out of the day as a Machine Learning Engineer: • How you can scale your AI model training across billions of parameters efficiently and sustainably and simultaneously build production-ready full-stack GenAI applications • How to quickly deploy NVIDIA Inferencing Microservices (NIMS) with HPE tools What will you get out of the day as a Data Scientist: • How to maintain complete reproducibility through data and experiment lineage • How to build a data pipeline across multiple different data silos Understand HPE and NVIDIAs joint strategy for enterprise computing solution for Generative AI • How to avoid escalating costs of cloud and why you should consider on-prem deployment with HPE Private Cloud AI • How HPE and NVIDIA provide an unmatched better together solution for Generative AI Hands-on AI/ML exercises and demonstrations (remember to bring your laptop!) For more insights, check out the video below -------------------------------------------------------------------------------- SPEAKERS CHRISTOPHE MENICHETTI AI Solution Architect at HPE Visit his LinkedIn profile CHRIS LACEY HPC & AI Principal Architect at HPE Visit his LinkedIn profile GUILLAUME BARAT EMEA Alliance Director at NVIDIA Visit his LinkedIn profile -------------------------------------------------------------------------------- AGENDA 08:00 - 09:00 Registration & Breakfast 09:00 - 09:15 Welcome & Agenda 09:15 - 10:30 Optimized infrastructure for AI-at-Scale workloads HPE and NVIDIAs joint strategy for Generative AI – HPE Private Cloud AI 10:30 - 11:00 Coffee break 11:00 - 11:45 Model Development, Training and Tuning at Scale Train large-scale machine learning models faster while hiding the complexity of underlying heterogeneous infrastructure 11:45 - 12:30 Model Deployment & Inference at Scale Deploy & manage models and run inference on heterogeneous infrastructure from data center to edge 12:30 - 13:30 Lunch 13:30 - 14:30 Optional hands-on session Foundation models and RAG implementing practical GenAI 13:30 - 14:30 One to one discussions -------------------------------------------------------------------------------- ADDITIONAL INFO * Contact us -------------------------------------------------------------------------------- Company About HPEAccessibilityCareersContact UsCorporate ResponsibilityGlobal Diversity & InclusionHPE Modern Slavery Transparency Statement (PDF)Hewlett Packard LabsInvestor RelationsLeadershipPublic Policy Learn About Artificial IntelligenceCloud ComputingContainersMachine LearningEnterprise Glossary News and Events NewsroomHPE DiscoverEventsWebinars PARTNERS Partner Ready programPartner Ready Vantage programFind a PartnerCertificationsHPE GreenLake Marketplace Support Product SupportSoftware & DriversWarranty CheckEnhanced Support ServicesEducation and TrainingProduct Return and RecyclingValidate Equipment Parts Communities HPE CommunityAruba AirheadsHPE Tech Pro CommunityHPE Developer CommunityAll Blogs and Forums Customer Resources Customer StoriesHow To BuyFinancial ServicesHPE Customer CentersEmail SignupHPE MyAccountResource LibraryVideo GalleryVoice of the Customer Signup FOLLOW HPE © Copyright 2024 Hewlett Packard Enterprise Development LP * Privacy * Terms of Use * Ad Choices & Cookies * Sitemap wiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwi