Spencer Huang

Synopsys.ai Copilot is delivering more customer value than ever before, enabling engineering teams to support increasingly complex designs and accelerate their development timelines. Read our latest release to learn about our expanded GenAI capabilities: https://bit.ly/4nsgeQt

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Thrilled to share that a Digital Twin Framework (ExaDigiT), developed in partnership with Hewlett Packard Enterprise, is a first-of-its-kind digital twin for supercomputer data centers like Oak Ridge National Laboratory’s Frontier. ExaDigiT combines workload, power, and cooling modeling with interactive dashboards, enabling optimization, what-if analysis, and virtual prototyping tailored to each system. Already in use on leadership-class systems worldwide — this innovation is transforming how we model, manage, and optimize supercomputing infrastructure. Huge congratulations to the incredible teams at ORNL and HPE who made this milestone possible! https://lnkd.in/gcA_idVa

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🇺🇸 Good to see leadership from the US Senate on both sides of the aisle in the new 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐂𝐲𝐛𝐞𝐫𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 aimed to defend critical systems against emerging quantum computing threats. While we are seeing early quantum breakthroughs for good in industries such as life sciences and financial services, this technology can also pose a significant risk to our personal data, national security and critical infrastructure. By acting now—before large-scale quantum machines arrive—we ensure our security posture isn’t outdated when tomorrow’s computers go online. Rather than more discussions, the bill proposes practical actions to move forward inclusive of metrics, risk assessment and pilot requirements for agencies. 🔐 https://lnkd.in/eMTVRQTc #Quantum #Cybersecurity #DataProtection #NationalSecurity #PQC

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If intelligence is the log of compute… it starts with a lot of compute! And that’s why we’re scaling our GPU fleet faster than anyone else. Just last year, we added over 2 gigawatts of new capacity – roughly the output of 2 nuclear power plants. And today we’re going further, announcing the world's most powerful AI datacenter, located in southeastern Wisconsin. Fairwater is a seamless cluster of hundreds of thousands of NVIDIA GB200s, connected by enough fiber to circle the Earth 4.5 times. It will deliver 10x the performance of the world’s fastest supercomputer today, enabling AI training and inference workloads at a level never before seen. For AI training workloads, you need compute at exponential scale. That’s why we designed the datacenter, GPU fleet, and network together as one integrated system. This ensures a single job can run from day 1 at exponential scale across thousands of GPUs.  Fairwater uses a liquid-cooled closed-loop system for cooling GPUs that requires zero water for operations after construction. And we’re matching all of the energy that is consumed with renewable sources. And of course, it is just one of several similar sites we’re lighting up across our 70+ regions. We have multiple identical Fairwater datacenters under construction in other locations across the US, in addition to our AI infrastructure already deployed in over 100 datacenters around the world, powering model training, test-time compute, RL tuning, and real-time inference at global scale. Too often during times like this, people go with the current and only later wonder, how did we get here?  With Fairwater, we're charting a new path: doing the hard engineering work, bringing compute, network, and storage into one highly scaled cluster, and designing closed-loop energy systems to meet real-world computing needs. And partnering with local communities to ensure it's thoughtfully done in a way that is sustainable, creates new jobs, and expands opportunity.  We are thrilled to see this take hold in Wisconsin, and we are just getting started. Learn more about Fairwater here: https://lnkd.in/gpdni9gt

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AI adoption is growing at an accelerated pace driving silicon and systems complexity to new heights. While the number of chips being designed with AI-enabled tools is soaring, their time to market is shrinking. Cadence is leveraging AI agents, our deep expertise in principled simulation and optimization, and GPU acceleration to enable this revolution. What is the role of AI agents? How far can they take us? The future of chip design is happening now with Design for AI, AI for Design. Join me in Shanghai at CadenceLIVE China on August 19 to learn about Design for AI, AI for Design. #CadenceLIVE #DesignforAIAIforDesign #Innovation #ChipDesign #3DIC

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