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DTSTART;VALUE=DATE:20260823
DTEND;VALUE=DATE:20260828
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SUMMARY:SPIE Optics + Photonics 2026
DESCRIPTION:Join your colleagues in San Diego for the latest research and insights. \n\nYou’re invited to explore the latest advances and breakthroughs at this dynamic annual conference taking place in beautiful Southern California. Connect with leading researchers and scientists as they share new work in optical engineering\, nanotechnology\, quantum science\, and organic photonics. \nMeet with top suppliers at the free three‑day exhibition \nDiscuss your product needs with top optics and photonics suppliers at the exhibition. \nIndustry partners will be there to help solve problems\, cut costs\, and increase capabilities. \nREGISTER HERE
URL:https://semiwiki.com/event/spie-optics-photonics-2026/
LOCATION:San Diego Convention Center\, San Diego\, CA\, United States
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DTSTART;TZID=America/Los_Angeles:20260827T100000
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SUMMARY:Webinar: Dell\, Siemon\, and Keysight Discuss AI Fabrics for 1.6T
DESCRIPTION:Dell Technologies\, Siemon\, and Keysight experts share practical insights on designing\, connecting\, and validating scalable AI infrastructure for the next generation of AI workloads. \nAs AI workloads continues to scale\, the transition from 800G to 1.6T networking is redefining how modern data center fabrics are designed\, validated\, and deployed. In this 20-minute panel discussion\, experts from Dell Technologies\, Siemon\, and Keysight explore the practical realities of building high-performance AI infrastructure that works reliably at scale. \nThe discussion examines the architectural shifts driving next-generation AI fabrics\, including the move from theoretical 800G designs to production-ready deployments\, the trade-offs between DACs\, active copper\, and fiber connectivity\, and the growing importance of realistic workload emulation and end-to-end system validation. Panelists will also share lessons learned from validating full AI systems\, not just individual components\, and discuss what organizations must rethink as the industry moves toward 1.6T networking. \nThis webinar will provide actionable guidance for building scalable\, high-performance AI network infrastructure with confidence. Attendees will learn strategies to accelerate AI readiness while minimizing deployment risk. \n\nInfrastructure design and performance validation best practices.\nCabling and deployment strategies for scalable AI environments.\nPlanning considerations for 800G deployment and future 1.6T readiness.\n\nREGISTER HERE
URL:https://semiwiki.com/event/webinar-dell-siemon-and-keysight-discuss-ai-fabrics-for-1-6t/
LOCATION:Online
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DTSTART;TZID=America/Los_Angeles:20260827T173000
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SUMMARY:The Silicon Gold Rush
DESCRIPTION:In-person attendance for this event is full. Join the in-person waitlist or sign up to watch the livestream. \nAre AI chips the new frontier of computing? What happens when the world’s biggest cloud companies stop buying chips and start designing their own? \nIn this program\, we’ll unpack how companies once defined by software are now building custom silicon to run faster\, cheaper\, and at an unprecedented scale. The resulting competition is influencing global datacenter design and supply chains\, marking a major new chapter in the evolution of AI. \nWhat You’ll Experience:\n\nDemystify AI accelerators: what they are and why they’re so well-suited to modern machine learning workloads.\nUnderstand how custom silicon changes cloud economics\, energy demands\, data-center design\, and business models.\nHear directly from builders and insiders who are shaping the future of AI hardware\, including Nvidia Chief Scientist and Senior Vice President of Research Bill Dally\, Google Fellow Norm Jouppi\, and CHM Fellow and UC Berkeley Pardee Professor of Computer Science Emeritus Dave Patterson.\n\nNote: A concert taking place at Shoreline Amphitheatre at 7 p.m. may impact traffic in the area surrounding CHM. Please plan for possible traffic delays. \nREGISTER HERE
URL:https://semiwiki.com/event/the-silicon-gold-rush/
LOCATION:Computer History Museum\, Computer History Museum\, 1401 N Shoreline Blvd\, Mountain View\, CA\, 94043\, United States
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