BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Cambridge Computer - ECPv6.18.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.cambridgecomputer.com X-WR-CALDESC:Events for Cambridge Computer REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT 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TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20261101T090000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20230101T000000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:America/Halifax BEGIN:DAYLIGHT TZOFFSETFROM:-0400 TZOFFSETTO:-0300 TZNAME:ADT DTSTART:20230312T060000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0300 TZOFFSETTO:-0400 TZNAME:AST DTSTART:20231105T050000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0400 TZOFFSETTO:-0300 TZNAME:ADT DTSTART:20240310T060000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0300 TZOFFSETTO:-0400 TZNAME:AST DTSTART:20241103T050000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0400 TZOFFSETTO:-0300 TZNAME:ADT DTSTART:20250309T060000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0300 TZOFFSETTO:-0400 TZNAME:AST DTSTART:20251102T050000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20260811 DTEND;VALUE=DATE:20260815 DTSTAMP:20260403T212010Z CREATED:20260403T212010Z LAST-MODIFIED:20260403T212010Z UID:24226-1786406400-1786751999@www.cambridgecomputer.com SUMMARY:2026 Cooperative Technologies Conference & Expo (CTCE) DESCRIPTION:CTCE is the annual four-day event hosted by North Carolina’s Electric Cooperatives\, bringing together more than 200 electric cooperative professionals and 90+ exhibitors. Tailored for IT\, engineering\, operations\, and energy services professionals\, CTCE delivers hands-on sessions\, an interactive exhibit hall\, and networking opportunities focused on the latest technologies shaping the electric utility industry. URL:https://www.cambridgecomputer.com/event/2026-cooperative-technologies-conference-expo-ctce/ LOCATION:Wilmington Convention Center\, 10 Convention Center Dr.\, Wilmington\, NC\, 28401\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/2026-Cooperative-Technologies-Conference-Expo.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260726 DTEND;VALUE=DATE:20260731 DTSTAMP:20260403T212640Z CREATED:20260403T212640Z LAST-MODIFIED:20260403T212640Z UID:24230-1785024000-1785455999@www.cambridgecomputer.com SUMMARY:PEARC26 DESCRIPTION:PEARC26\, themed “Resilient Roots + Empowered Communities\,” is the premier conference for research computing professionals. Hosted by ACM\, this five-day event covers advanced research computing\, workforce development\, AI/ML\, HPC\, cloud infrastructure\, and data science\, with a strong emphasis on building a diverse and inclusive HPC community through student programs\, mentorship\, and professional development. URL:https://www.cambridgecomputer.com/event/pearc26/ LOCATION:Minneapolis Convention Center\, 1301 2nd Avenue South\, Minneapolis\, MN\, 55403\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/PEARC26.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20260618T091500 DTEND;TZID=America/New_York:20260618T163000 DTSTAMP:20260626T161805Z CREATED:20260512T040755Z LAST-MODIFIED:20260626T161805Z UID:24321-1781774100-1781800200@www.cambridgecomputer.com SUMMARY:AI & HPC Day at George Washington University DESCRIPTION:Description:\nJoin Cambridge and the GW Information Technology (GW IT) team on Thursday\, June 18th for an immersive exploration of high-performance computing and artificial intelligence. \nAs part of the national GPU in EDU Seminar Series\, Cambridge Computer and GW are bringing their expertise to GWU’s Foggy Bottom campus in Washington\, DC for an event hosted by the GW Information Technology team. This program is designed for faculty\, researchers\, and students who are looking to leverage the power of GPUs to accelerate discovery and innovation — supported by GW’s high-performance network infrastructure through CAAREN. \nThe day features expert-led presentations and hands-on demonstrations at the forefront of AI and data science in academic research. Whether you are just getting started with GPU computing or looking to scale an existing project\, this is your opportunity to connect with industry leaders and GW peers\, exchange ideas\, and leave with practical strategies to accelerate what comes next. \n \n \n \n \n \n Agenda:\nGPU in EDU Track\n\n9:15 AM | Morning Welcome – Clark Gaylord (GWU)\n9:30 AM | Ensuring Reproducibility in AI: Declarative Tools for Managing Software Stacks and Workflows – Dr. Christopher S. Simmons (Cambridge Computer)\n10:30 AM | Short Break\n10:45 AM | Tutorial: Implementing Open-Source LLMs in Research Computing: From Model Selection to On-Premises Deployment (Part 1 of 2) – Dr. Christopher S. Simmons (Cambridge Computer)\n12 PM – 1 PM | Lunch\n1 PM | Introduction\, Welcome & CAAREN Overview – Clark Gaylord (GWU)\n1:30 PM | Keynote: AI and HPC Roadmaps for Research Computing – Dr. Christopher S. Simmons (Cambridge Computer)\n2:15 PM | Short Break\n2:30 PM | Tutorial: Implementing Open-Source LLMs in Research Computing: From Model Selection to On-Premises Deployment (Part 2 of 2) – Dr. Christopher S. Simmons (Cambridge Computer)\n3:30 PM | GWU Presentations:\n\nGPU Computation: Practice and Experience – Speaker: Adam Wong (GWU)\nGPUs and GWU: Infrastructure\, Access\, and Research Impact – Speaker: Dr. Glen MacLachlan (GWU)\n\n\n4:30 PM | Presentation: AMD CPU and GPU Updates – Speaker: Zlatko Pozderac (AMD)\n\nJoin us for a networking happy hour following the day’s presentations and lectures! \nHPC User Group Track\n\n1 PM | Introduction\, Welcome & CAAREN Overview – Clark Gaylord (GWU)\n1:30 PM | Keynote: AI and HPC Roadmaps for Research Computing – Dr. Christopher S. Simmons (Cambridge Computer)\n2:30 PM | Presentation & Discussion: Secure Computing – Moderators: Shawn Suter (JHU) & Dr. Alastair Neil (GMU)\n3:30 PM | Discussion: Storage in 2026 – Moderators: Clark Gaylord (GWU) & Derek Yarnell (UMD)\n4:30 PM | Power Cooling – Joe Biondo (JHU ARCH)\n\nJoin us for a networking happy hour following the day’s presentations and lectures! \n \nSponsored by: URL:https://www.cambridgecomputer.com/event/ai-hpc-day-at-george-washington-university/ LOCATION:George Washington University\, 800 22nd St NW\, Washington D.C.\, DC\, 20052\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/05/GPU-in-EDU-at-George-Washington-University.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260520 DTEND;VALUE=DATE:20260523 DTSTAMP:20260403T211513Z CREATED:20260403T211513Z LAST-MODIFIED:20260403T211513Z UID:24223-1779235200-1779494399@www.cambridgecomputer.com SUMMARY:NCLGISA 2026 Spring Symposium DESCRIPTION:The NCLGISA Spring Symposium is the premier gathering for North Carolina’s local government IT professionals. Featuring technology training\, business-skill workshops\, and a full vendor expo\, this three-day event helps participants share ideas\, explore innovative solutions\, and strengthen the effectiveness of information systems serving NC communities. URL:https://www.cambridgecomputer.com/event/nclgisa-2026-spring-symposium/ LOCATION:Wilmington Convention Center\, 10 Convention Center Dr.\, Wilmington\, NC\, 28401\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/NCLGISA-2026-Spring-Symposium.jpg ORGANIZER;CN="NCLGISA":MAILTO:info@nclgisa.org END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260426 DTEND;VALUE=DATE:20260501 DTSTAMP:20260403T211212Z CREATED:20260403T211212Z LAST-MODIFIED:20260403T211212Z UID:24218-1777161600-1777593599@www.cambridgecomputer.com SUMMARY:Georgia GMIS 2026 Spring Conference DESCRIPTION:Georgia GMIS hosts its “Swinging for the Future” Spring Conference\, connecting public-sector IT professionals from state and local government across Georgia. This five-day event features sessions on emerging technologies\, cybersecurity\, cloud computing\, and digital government services\, plus ample networking and professional development opportunities. URL:https://www.cambridgecomputer.com/event/georgia-gmis-2026-spring-conference/ LOCATION:Columbus Convention & Trade Center\, 801 Front Avenue\, Columbus\, GA\, 31901\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/Georgia-GMIS-2026-Spring-Conference.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260422 DTEND;VALUE=DATE:20260425 DTSTAMP:20260403T210502Z CREATED:20260403T210502Z LAST-MODIFIED:20260403T210502Z UID:24213-1776816000-1777075199@www.cambridgecomputer.com SUMMARY:GA EMC Technology Association Spring Conference 2026 DESCRIPTION:The GA EMC Technology Association Spring Conference brings together IT professionals\, engineers\, and decision-makers from Georgia’s 41 electric membership cooperatives. This multi-day event features technical sessions\, vendor exhibits\, and networking opportunities focused on the technologies powering the state’s electric cooperative infrastructure. URL:https://www.cambridgecomputer.com/event/ga-emc-technology-association-spring-conference-2026/ LOCATION:Augusta Marriott at the Convention Center\, 2 10th Street\, Atlanta\, GA\, 30901\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/GA-EMC-Technology-Association-Spring-Conference-2026.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260421 DTEND;VALUE=DATE:20260422 DTSTAMP:20260403T205329Z CREATED:20260403T205329Z LAST-MODIFIED:20260403T205329Z UID:24209-1776729600-1776815999@www.cambridgecomputer.com SUMMARY:CoDEx 2026 - Computation and Data Exchange DESCRIPTION:CoDEx is Northwestern University’s annual symposium showcasing innovative approaches to computational and data-intensive research. Featuring research talks\, poster presentations\, and a visualization challenge\, this campus-wide event brings together faculty\, researchers\, and students across disciplines to discuss breakthroughs in data science\, AI\, simulation\, and large-scale computing. URL:https://www.cambridgecomputer.com/event/codex-2026-computation-and-data-exchange/ LOCATION:Norris University Center\, Northwestern University\, 1999 Campus Drive\, Evanston\, IL\, 60208\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/CoDEx-2026.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20251117T110000 DTEND;TZID=America/Chicago:20251117T130000 DTSTAMP:20260421T003154Z CREATED:20260421T002431Z LAST-MODIFIED:20260421T003154Z UID:24253-1763377200-1763384400@www.cambridgecomputer.com SUMMARY:Implementing Open-Source LLMs DESCRIPTION:Overview\nThis meeting is the 2nd annual in-person gathering of the GPU Innovators User Community. In our inaugural meeting last year in Atlanta\, we packed the room with passionate discussions about NVIDIA’s Grace Hopper and Blackwell architectures—the powerhouse hardware that makes today’s AI revolution possible. This year\, we’re taking the next logical step in our community’s journey: transitioning from metal to models. \nTL;DR\nWe’ll tackle the questions keeping you up at night—which models fit your research needs\, what hardware specifications actually matter\, and how to deploy these systems using the open-source tools you already trust. \nLunch is served afterwards at the Blues Museum down the street. \nIntended Audience \nThis talk is designed for research computing professionals\, HPC administrators\, academic researchers\, and AI enthusiasts seeking practical guidance on deploying open-source LLMs\, selecting appropriate models\, and integrating them into existing research computing infrastructure. \nSession Description \nThe rapid evolution of open-source large language models presents researchers with unprecedented opportunities to deploy powerful AI capabilities while maintaining complete control over sensitive data and computational workflows. This tutorial addresses the critical challenge facing research computing centers: how to navigate the complex landscape of open-source LLMs to make informed decisions about model selection\, hardware requirements\, and deployment strategies that align with existing HPC infrastructure and research objectives. \nThe session begins with a systematic exploration of leading open-source model families\, including DeepSeek’s reasoning-optimized variants\, Meta’s Llama ecosystem\, Google’s efficiency-focused Gemma models\, and specialized options like MedGemma for healthcare applications. Attendees will learn to evaluate models based on benchmark performance\, memory requirements\, and domain-specific capabilities\, while understanding the critical relationship between model parameters\, precision formats (FP16/FP8/FP4)\, and GPU memory allocation. Beyond model selection\, participants will explore the open-source framework ecosystem\, comparing GUI tools like LM Studio for rapid prototyping with high-performance CLI engines like vLLM and SGLang\, which are suitable for SLURM integration and multi-GPU scaling. The session concludes with an introduction to Retrieval-Augmented Generation (RAG) pipelines\, which enable researchers to query private document collections. This approach provides a key differentiator from commercial LLM services\, ensuring data privacy and institutional control while extending model capabilities with domain-specific knowledge. \nIf you attended this talk at PEARC25\, you might still find this content worth your while—a LOT has changed since then! \nFree Lunch \nAfter the seminar\, please join us just steps away at the National Blues Museum for a free BBQ lunch\, drinks and live music! Blues\, BBQ & Beer Event URL:https://www.cambridgecomputer.com/event/implementing-open-source-llms/ LOCATION:Missouri Athletic Club\, 405 Washington Ave.\, St. Louis\, 63102\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/GPU_in_EDU_SC25.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251116 DTEND;VALUE=DATE:20251122 DTSTAMP:20251028T205315Z CREATED:20250204T153924Z LAST-MODIFIED:20251028T205315Z UID:23695-1763251200-1763769599@www.cambridgecomputer.com SUMMARY:SC25 DESCRIPTION:Come see us at Booth #3316!\nThe International Conference for High Performance Computing\, Networking\, Storage\, and Analysis (SC25) will be held November 16–21\, 2025\, at the America’s Center in St. Louis\, Missouri. Sponsored by ACM and IEEE\, SC25 brings together global leaders in supercomputing – including scientists\, engineers\, and developers – for a week of technical sessions\, workshops\, exhibits\, and networking. Highlights include the Students@SC program\, the SCinet networking initiative\, and interactive exhibits from industry innovators\, research institutions\, and startups\, all fostering collaboration and advancing innovation in HPC and AI. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Check out what we have going on during conference week:\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Monday\, November 1711 AM – 4 PMNational Blues Museum615 Washington Ave.St. Louis\, MO 63101Click here for more info \nCambridge Computer is hosting a mini tech showcase that offers a chance to connect with peers and learn about new technologies before the exhibit hall opens. The event will feature BBQ\, beer\, and live blues music for the whole afternoon. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Tuesday\, November 187 PM – 11 PMMissouri Athletic Club405 Washington Ave.St. Louis\, MO 63102Click here for more info \nThe biggest SC ancillary event of the year returns with over 25 sponsors\, bringing together the HPC community for an evening of networking and celebration. You don’t need to RSVP in advance; just come by with your conference badge! \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cambridge & NVIDIA Events\nSpace is limited. Inquire Today at marketing@cambridgecomputer.com! URL:https://www.cambridgecomputer.com/event/sc25/ LOCATION:America’s Center Convention Complex\, 701 Convention Plaza\, St. Louis\, MO\, 63101\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2025/02/SC25.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251029 DTEND;VALUE=DATE:20251030 DTSTAMP:20260202T235603Z CREATED:20260202T235603Z LAST-MODIFIED:20260202T235603Z UID:24181-1761696000-1761782399@www.cambridgecomputer.com SUMMARY:GPU in EDU at University of Minnesota DESCRIPTION:This one-day event\, presented in collaboration with the Minnesota Supercomputing Institute at the University of Minnesota\, features Dr. Christopher S. Simmons leading comprehensive sessions that equip academic researchers with a complete framework for implementing reproducible AI and scientific workflows. \nVisit Event Page to Register → \nAll registrants will receive Zoom meeting information for remote participation and a link to the recorded sessions. URL:https://www.cambridgecomputer.com/event/gpu-in-edu-at-university-of-minnesota/ LOCATION:Coffman Memorial Union\, President’s Room\, 300 Washington Ave. S.E.\, Minneapolis\, MN\, 55455\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/png:https://www.cambridgecomputer.com/wp-content/uploads/2026/02/GPU-in-EDU-University-of-Minnesota.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250720 DTEND;VALUE=DATE:20250725 DTSTAMP:20250407T232129Z CREATED:20250407T225332Z LAST-MODIFIED:20250407T232129Z UID:23980-1752969600-1753401599@www.cambridgecomputer.com SUMMARY:PEARC25 DESCRIPTION:The 2025 ACM Practice and Experience in Advanced Research Computing Conference\, (PEARC25) serves as a premier forum for professionals\, researchers\, and students in the field of research computing and data (RCD). It is organized by the Association for Computing Machinery (ACM) and focuses on addressing challenges\, opportunities\, and solutions within advanced research computing. \nPEARC25 will explore a wide range of subjects\, including: \n\nArtificial intelligence applications in research\nCloud computing integration\nScientific workflow optimization\nResearch software engineering\nData management strategies\nWorkforce development and diversity in RCD. URL:https://www.cambridgecomputer.com/event/pearc25/ LOCATION:Greater Columbus Convention Center\, 400 North High Street\, Columbus\, OH\, 43215\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2025/04/PEARC25.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250520 DTEND;VALUE=DATE:20250523 DTSTAMP:20250407T222621Z CREATED:20250407T222621Z LAST-MODIFIED:20250407T222621Z UID:23973-1747699200-1747958399@www.cambridgecomputer.com SUMMARY:2025 NCLGISA Spring Symposium DESCRIPTION:The 2025 NCLGISA Spring Symposium is an annual event organized by the North Carolina Local Government Information Systems Association (NCLGISA). It serves as a platform for local government IT professionals to share experiences\, explore innovative solutions\, and improve the effectiveness of local government information systems. The symposium features workshops\, training sessions\, and networking opportunities for participants. URL:https://www.cambridgecomputer.com/event/2025-nclgisa-spring-symposium/ LOCATION:Wilmington Convention Center\, 10 Convention Center Dr.\, Wilmington\, NC\, 28401\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2025/04/NCLGISA.jpg ORGANIZER;CN="NCLGISA":MAILTO:info@nclgisa.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250515T100000 DTEND;TZID=America/Los_Angeles:20250515T160000 DTSTAMP:20250416T174418Z CREATED:20250407T221230Z LAST-MODIFIED:20250416T174418Z UID:23968-1747303200-1747324800@www.cambridgecomputer.com SUMMARY:GPU in EDU at University of Washington DESCRIPTION:Join Cambridge Computer\, NVIDIA\, and the UW-IT Research Computing Team for a day of innovation and learning at the University of Washington. This hybrid event is part of our national GPU in EDU Seminar Series\, focusing on the expanding role of AI and data science in academic research and education. \nWhat to Expect:\n\nExpert Presentations on reproducible software pipelines\, GPU computing services\, and NVIDIA RAPIDS\nHands-on Demonstrations showcasing practical GPU implementations\nNetworking Opportunities with industry leaders and academic researchers\nQ&A Sessions with Cambridge\, NVIDIA\, and UW-IT specialists\n\nFeatured speakers include Dr. Christopher Simmons (Cambridge Computer)\, Dr. Melisa Alkan (NVIDIA)\, and Dr. Kristen Finch (UW-IT Research Computing). \nWhether you’re new to GPU computing or scaling advanced research\, this seminar offers valuable insights for accelerating your research workflows. \nVisit Event Page to Register → \nAll registrants will receive Zoom meeting information for remote participation. URL:https://www.cambridgecomputer.com/event/gpu-in-edu-at-university-of-washington/ LOCATION:UW Tower\, 4333 Brooklyn Ave NE\, Seattle\, WA\, 98105\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2025/04/GPU_in_EDU_at_UW.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250317T080000 DTEND;TZID=America/Los_Angeles:20250320T170000 DTSTAMP:20241106T025511Z CREATED:20241106T025511Z LAST-MODIFIED:20241106T025511Z UID:23165-1742198400-1742490000@www.cambridgecomputer.com SUMMARY:NVIDIA GTC 2025 DESCRIPTION:GTC 2025 is Coming Back to San Jose\nSee how technology breakthroughs are transforming generative AI\, healthcare\, industrial digitalization\, robotics\, and more. URL:https://www.cambridgecomputer.com/event/nvidia-gtc-2025/ LOCATION:San Jose Convention Center\, 150 West San Carlos Street\, San Jose\, CA\, 95113\, United States ATTACH;FMTTYPE=image/png:https://www.cambridgecomputer.com/wp-content/uploads/2024/11/NVIDIA_GPU_Technology_Conference.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250311T080000 DTEND;TZID=America/New_York:20250314T170000 DTSTAMP:20241106T030051Z CREATED:20241106T030051Z LAST-MODIFIED:20241106T030051Z UID:23170-1741680000-1741971600@www.cambridgecomputer.com SUMMARY:ACCS-VA 2025 DESCRIPTION:For the past 30+ years\, ACCS-VA has held an annual conference to foster the relationship and sharing of knowledge of information technology professionals across the Commonwealth of Virginia’s myriad colleges and universities. The annual conference typically takes place during spring break\, lasting approximately 2.5 days (oftentimes with training and special interest group opportunities the day before the conference start). URL:https://www.cambridgecomputer.com/event/accs-va-2025/ LOCATION:Renaissance Portsmouth-Norfolk Waterfront Hotel\, 425 Water St\, Portsmouth\, VA\, 23704\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2024/11/ACCS-VA-2025.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250204T130000 DTEND;TZID=America/New_York:20250204T180000 DTSTAMP:20260421T002057Z CREATED:20260420T235532Z LAST-MODIFIED:20260421T002057Z UID:24249-1738674000-1738692000@www.cambridgecomputer.com SUMMARY:GPU in EDU: Dartmouth College DESCRIPTION:Overview\n\n\n\nPresentations and discussions about HPC & AI infrastructure for science and higher education \n\n\n\n\nThe day will feature a mix of presentations from the Cambridge and Dartmouth teams\, along with open discussions with attendees. Everyone is welcome to join the Happy Hour at the end of the event at Murphy’s! \n\n\n\nAgenda\n1:00 PM – 2:00 PM — Goldstein 105 Occom Commons (including lunch) \n\nRoadmap – NVIDIA Products & Highlights 2025 – Cambridge & NVIDIA\nDiscussion – How to Leverage GH200s (specifically memory)\nDiscussion – Over-Subscribing Systems and Unified Memory\n\n2:00 PM – 2:15 PM — Break; move to Filene \n2:15 PM – 3:15 PM — Moore Hall B13 Filene Auditorium \n\nPresentation – GPUs/AI – A Scientist’s Perspective – Chris Simmons\nSneak Peek – Grace Blackwell\n\n3:15 PM – 4:00 PM — Moore Hall B13 Filene Auditorium Dartmouth Presentation \n\nReviewing chat.dartmouth.edu and ai.dartmouth.edu – Dartmouth Team\nIntroduction to Research Computing AI Offerings and Real-world Applications – Simon Stone\nAPI access to chat.dartmouth.edu – Jonathan Crossett\nIn-depth Coverage & Future Plans for chat.dartmouth.edu – Tivon Luker\nQ & A – Jonathan Crossett\, Simon Stone\, Tivon Luker\n\n4:00 PM – 4:15 PM — Break \n4:15 PM – 5:00 PM — (OPTIONAL) Farewell to AFS presentation \n5:00 PM – 6:00 PM — Murphy’s On the Green \n\nHappy Hour @ Murphy’s – Sponsored by Dartmouth URL:https://www.cambridgecomputer.com/event/gpu-in-edu-dartmouth-college/ LOCATION:Dartmouth College\, 3 Maynard St\, Hanover\, NH\, 03755\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/GPU_in_EDU_Dartmouth.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20241203T100000 DTEND;TZID=America/New_York:20241203T163000 DTSTAMP:20260421T003624Z CREATED:20260421T003624Z LAST-MODIFIED:20260421T003624Z UID:24258-1733220000-1733243400@www.cambridgecomputer.com SUMMARY:NVIDIA Day at Columbia University DESCRIPTION:Overview\nPresentations and discussions about AI and data science in research and education. \nThe morning session will focus on NVIDIA overviews and topics of particular concern to IT Professionals. The afternoon will focus on Researcher workloads with additional presentations from NVIDIA\, Cambridge\, and CUIT as well as opportunities for open discussion. All are welcome to join throughout the day and to come and go as your schedule allows! \nRoom Location: Davis Auditorium\, Schapiro CEPSR \nAbout Cambridge \nCambridge Computer provides IT infrastructure solutions with a focus on the needs of higher education and research computing. We work with our clients and vendors to specify\, sell\, and deploy hardware. Projects are as simple as individual workstations and as complex as HPC/GPU compute clusters. \nAbout NVIDIA \nWe pioneered accelerated computing to tackle challenges no one else can solve. With NVIDIA\, healthcare institutions can harness the power of AI and high-performance computing to define the future of medicine. NVIDIA engineers the most advanced chips\, systems\, and software for the AI factories of the future. We build new AI services that help institutions create their own AI factories. URL:https://www.cambridgecomputer.com/event/nvidia-day-at-columbia-university/ LOCATION:Davis Auditorium\, Schapiro CEPSR\, 530 West 120th Street\, New York\, NY\, 10027\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/GPU_in_EDU_Columbia-University.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20241119T070000 DTEND;TZID=America/New_York:20241119T100000 DTSTAMP:20241107T061716Z CREATED:20241106T022104Z LAST-MODIFIED:20241107T061716Z UID:23136-1731999600-1732010400@www.cambridgecomputer.com SUMMARY:GPU in EDU Higher Ed Breakfast Meetup and Panel DESCRIPTION:Join us for a morning of insights and discussion with Cambridge and NVIDIA at the “GPU in EDU” Breakfast Meetup & Panel Discussion. \nBreakfast & Latte Services\n7:00 AM – 10:00 AM \nPanel with Harvard Medical School & University of California\, San Francisco\n8:00 AM – 9:30 AM \nQ&A\n9:30 AM – 10:00 AM \n\n\n  URL:https://www.cambridgecomputer.com/event/gpu-in-edu-higher-ed-breakfast-meetup-and-panel/ LOCATION:College Football Hall of Fame\, 250 Marietta Street NW\, Atlanta\, GA\, 30313\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2024/10/GPU_in_EDU_SC24-Breakfast.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20241117 DTEND;VALUE=DATE:20241123 DTSTAMP:20241107T063557Z CREATED:20240915T022253Z LAST-MODIFIED:20241107T063557Z UID:21453-1731801600-1732319999@www.cambridgecomputer.com SUMMARY:SC24 DESCRIPTION:Come see us at booth #2123!\nAtlanta is the place to be this fall as the high performance computing community convenes for an exhilarating week of sessions\, speakers\, and networking at its finest. SC is an unparalleled mix of thousands of scientists\, engineers\, researchers\, educators\, programmers\, and developers and who intermingle to learn\, share\, and grow. \nCambridge will once again be sponsoring the annual Petaflop post-conference party: https://thepetaflop.com/ \n  \nDon’t miss our ancillary events:\n\nSharing Perspectives and Experiences with the Nvidia Grace Ecosystems\nThis Lunch-n-Learn event is a meetup of early adopters of Grace Hopper technology from a mix of academia\, industry\, and government. \nMonday\, November 18 · 11:30am – 1:30pm EST\nCollege Football Hall of Fame\n250 Marietta Street NW Atlanta\, GA 30313\nClick here for more info \n  \n\nChicken\, Data Storage\, & Beer\nStorage Technology Showcase is organizing a multi-vendor pitchfest for storage technology vendors that will be held on Monday\, November 18th. Each participating vendor will have a short\, fixed-length time segment to inspire audience members to visit their booths. Chick-fil-A will be catering the food. Beverages\, including beer and soft drinks will also be served. \nMonday\, November 18 · 2 – 5:00pm EST\nCollege Football Hall of Fame\n250 Marietta Street NW Atlanta\, GA 30313\nClick here for more info \n  \n\nGPU in EDU Higher Ed Breakfast Meetup and Panel\nJoin us for a morning of insights and discussion with Cambridge and NVIDIA at the “GPU in EDU” Breakfast Meetup & Panel Discussion. \nTuesday\, November 19 · 8 – 9:30am EST\nCollege Football Hall of Fame\n250 Marietta Street NW Atlanta\, GA 30313\nClick here for more info URL:https://www.cambridgecomputer.com/event/sc24/ LOCATION:Georgia World Congress Center\, 285 Andrew Young International Blvd NW\, Atlanta\, GA\, 30313\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2024/09/SC24-600x300-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20241021 DTEND;VALUE=DATE:20241025 DTSTAMP:20240918T023444Z CREATED:20240915T090428Z LAST-MODIFIED:20240918T023444Z UID:21460-1729468800-1729814399@www.cambridgecomputer.com SUMMARY:EDUCAUSE Annual Conference DESCRIPTION:The EDUCAUSE Annual Conference connects the best thinkers in higher education technology. Join us in San Antonio October 21–24. \nThis is THE event where professionals and technology providers from around the world gather to network\, share ideas\, grow professionally\, and discover solutions to today’s challenges. It’s the largest gathering of your peers…people you can relate to\, learn from\, and stay connected to throughout the year. URL:https://www.cambridgecomputer.com/event/educause-annual-conference/ LOCATION:Henry B. Gonzalez Convention Center\, 900 E. Market Street\, San Antonio\, TX\, 78205\, United States ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2024/09/Educause_600x300.jpg ORGANIZER;CN="EDUCAUSE":MAILTO:info@educause.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240718 DTEND;VALUE=DATE:20240719 DTSTAMP:20260420T235147Z CREATED:20241017T195607Z LAST-MODIFIED:20260420T235147Z UID:22836-1721260800-1721347199@www.cambridgecomputer.com SUMMARY:AI Futures at Harvard Medical School DESCRIPTION:Cambridge and NVIDIA had a full house at Harvard Med for the seminar entitled AI Futures at Harvard Medical School. GPU in EDU is a seminar series co-produced by NVIDIA and Cambridge Computer. We travel to universities and research institutions across the country to share ideas and insights related to AI and ML at the intersection of science and IT infrastructure. The content of each session is tailored to the specific interests of the institution hosting the event. Harvard Med chose to focus on deep learning for genomics\, NVIDIA software frameworks\, and GPU resource management. \nWe’d like to thank our friends at Harvard\, Run:ai\, and NVIDIA for making this event possible. Their support and collaboration were instrumental in making it a memorable and informative event. Special thanks for Run:ai for co-sponsoring the event and sharing insights into their amazing technology for pooling and scheduling GPU resources. We’d also like to thank Christos Alexiadis (Cambridge) and Eliot Eshelman (NVIDIA) for all their work behind the scenes. \nAgenda\nWelcome Session (10:00am – 10:15 am) Presented by: Eliot Eshelman (NVIDIA) & Jose Alvarez (Cambridge) \nPart 1. Deep Learning & Genomics (10:15 am – 12:30 pm) 10:15 – 11:00 am – Training\, Tuning\, & Deploying large deep learning models (45 mins) – Huiwen Ju (NVIDIA) 11:00 – 11:45 am – Deep learning applications in proteomics (45 mins) – Glen Otero (Cambridge) 11:45 am – 12:30 pm – GPU-based acceleration of genomic data. (45 mins) – Glen Otero (Cambridge) \nLunch break (12:30 pm – 1:30 pm) We will be ordering Milk Street Cafe for our networking/lunch hour portion of the agenda. \nPart 2: New NVIDIA Software Frameworks for Life Sciences (1:30 pm – 2:30 pm) \n\nSurvey of NVIDIA software frameworks in healthcare & life sciences (1 hour) – Huiwen Ju (NVIDIA)\n\nNIMs for standardized\, efficient Generative AI deployments (hands-on with https://ai.nvidia.com/)\nBioNeMo for AI-driven drug discovery\nMONAI the open-source framework for AI in medical imaging\nVISTA-2D AI Foundation model for cell segmentation\nRAPIDS for accelerated data science\nFLARE for federated learning\n\n\n\nCoffee Break (2:30 pm – 2:45 pm) \nPart 3. GPU Utilization (2:45 pm – 3:45 pm) \n\nSummary of latest NVIDIA architectures (5 minutes) – Brad Palmer (NVIDIA)\n\nH200\, B200\, GH200\, GB200\n\n\nGPU Monitoring and Management (25 minutes) – Brad Palmer (NVIDIA)\n\nCollecting and Displaying GPU performance data\nManaging GPU configurations across a cluster\n\n\nGPU Resource Management (30 mins) – Brett Wagner (Run:ai) URL:https://www.cambridgecomputer.com/event/ai-futures-at-harvard-medical-school/ LOCATION:Countway Library\, Harvard Medical School\, 695 Huntington Ave.\, Boston\, 02115 CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2024/10/GPU_in_EDU_at_HMS.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240402 DTEND;VALUE=DATE:20240403 DTSTAMP:20241018T025231Z CREATED:20241018T025016Z LAST-MODIFIED:20241018T025231Z UID:22952-1712016000-1712102399@www.cambridgecomputer.com SUMMARY:GPU in EDU at Carnegie Mellon University DESCRIPTION:Cambridge Computer and NVIDIA teamed to lead a seminar last week at Carnegie Mellon University to discuss how new HPC and GPU architectures impact research computing in higher ed. We had a full room plus a bunch of people attending remotely. There was some lively debate and a lot of great ideas shared. We gave our own version of the NVIDIA GTC recap and led a discussion on the new chip architectures (Grace\, Hopper\, Blackwell). We also had presentations from Nvidia on the various products and services that they offer that are lesser known to their client base. This was a great chance for different stakeholders in the university to get together in person and bat around ideas\, common challenges\, etc. URL:https://www.cambridgecomputer.com/event/gpu-in-edu-at-carnegie-mellon-university/ LOCATION:Carnegie Mellon University\, 4902 Forbes Ave.\, Pittsburg\, PA\, 15213\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2024/10/GPU_in_EDU_Carnegie_Mellon.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221012T090000 DTEND;TZID=America/New_York:20221012T160000 DTSTAMP:20260421T004648Z CREATED:20260421T004452Z LAST-MODIFIED:20260421T004648Z UID:24261-1665565200-1665590400@www.cambridgecomputer.com SUMMARY:HPC AI Day - Stony Brook University DESCRIPTION:Overview\nA follow-up to Cambridge Computer’s HPC AI Day @ PEARC 2022 \nCambridge is looking forward to uniting industry leaders at Stony Brook University’s campus for a 1-day series of presentations and workshops. \nLocation: CEWIT Conference Room \nAgenda\n*Times subject to change \n8:00 AM – Welcome & Coffee Hour \n9:00 AM – Nvidia & Research Computing \n\nThe DPU – Provide high-level overview\nNvidia Latest Product Announcements from GTC including Grace/Hopper\, L40 and RTX6000\nNvidia HPC Software Development Kits for AI based models\nQ&A\n\n10:30AM – **Break** \n10:45 AM – Run:ai – Building AI Infrastructure Right \n11:30 AM – **LUNCH** \n12:30 PM – AMD: CPU Roadmap & Software Stack\, ROCm & GPU Review \n\nOpen source tool for GPU Computing\n\n2:00 PM – **Break** \n2:15 PM – CIQ: Rocky Linux & Containers – Singularity Support \n3:00 PM – **Break** \n3:15 PM – Intel: CPU & HBM Roadmap & Software Research Stack – oneAPI \n\nHow the Intel® DPC++ Compatibility Tool assists in migrating your existing CUDA code to Data Parallel C++ (DPC++) code\nAbout DPC++\, based on ISO C++ and incorporates standard SYCL and community extensions to simplify data parallel programming.\nHow the tool ports both CUDA language kernels and library API calls URL:https://www.cambridgecomputer.com/event/hpc-ai-day-stony-brook-university/ LOCATION:Gates and Hillman Centers\, 4902 Forbes Avenue\, Pittsburg\, PA\, 15213\, United States CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/GPU_in_EDU_Stony-Brook-University.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211202T083000 DTEND;TZID=America/New_York:20211202T103000 DTSTAMP:20260421T005219Z CREATED:20260421T005126Z LAST-MODIFIED:20260421T005219Z UID:24266-1638433800-1638441000@www.cambridgecomputer.com SUMMARY:GPU Direct at Clemson DESCRIPTION:Overview\nRSVP today to receive your Grub Hub gift card Clemson Lunch & Learn with Vast Data & Cambridge Computer! \nClemson’s newest High-Performance Computing installation is a GPU Direct architecture connecting NVIDIA’s newest system\, the DGX A100\, to a high-performance storage array from VAST Data. \nThis supercomputer is available to you to increase your time-to-results and outcomes from your research. Perhaps you’ve asked yourself “what benefits are gained when I bypass the CPU and leverage GPU-Direct architecture?” or “what do I need to change about my process or code to leverage this system?” \nPlease join us for an interactive session\, we will dive into those questions and more! \nSchedule\n11:15 AM – Order your Grub Hub meal for 12:15pm delivery! \n11:30 AM – 12:15 PM – Session 1 \n\nWhy & When GPU Direct Architectures are Advantageous – Presented by Vast Data\nWhere Does it all Happen at Clemson? – Presented by Palmetto Storage Team\n\n12:15 PM – 12:45 PM – Lunch break w/ Grub Hub \n12:45 PM – 1:30 PM – Session 2 \n\nLeveraging GPU Direct – Presented by Cambridge Computer Professional Services Team\nHow do we use it? – Hands-on lab with Cambridge\, Vast and audience\nOur team will send the zoom link via calendar invitation upon registration or see below URL:https://www.cambridgecomputer.com/event/gpu-direct-at-clemson/ LOCATION:Virtual CATEGORIES:GPU in EDU ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2026/04/GPU_in_EDU_Clemson.jpg END:VEVENT END:VCALENDAR