Scott Guthrie
Bellevue, Washington, United States
215K followers
500+ connections
View mutual connections with Scott
Scott can introduce you to 10+ people at Microsoft
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
View mutual connections with Scott
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
About
As Executive Vice President of the Microsoft Cloud + AI group, I am responsible for a set…
Articles by Scott
-
Cloud-native Apps Deliver the Scale and Performance That Developers and Organizations Need
Cloud-native Apps Deliver the Scale and Performance That Developers and Organizations Need
From the beginning, our goal at Microsoft has been to provide developers with the best tools and infrastructure to make…
1,846
25 Comments
Activity
215K followers
-
Scott Guthrie reposted thisOur Fairwater datacenter in Wisconsin is going live, ahead of schedule. As the world’s most powerful AI datacenter, it will bring together hundreds of thousands of GB200s into a single seamless cluster. Congrats to all the teams who made this possible!Scott Guthrie reposted thisIf 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
-
Scott Guthrie shared thisI had a great time meeting with customers in Asia this past week and keynoting the Microsoft AI Tour in Seoul. Across markets, we covered how Microsoft is helping organizations move beyond experimentation with AI and apply it to reshape core business processes, modernize applications, and empower people at scale. This is not about point solutions. It is about rethinking how work gets done end to end, from developer productivity to customer experiences, using platforms teams can trust. That means AI systems built on secure, scalable cloud infrastructure, deeply integrated with data, and engineered to operate reliably in production. Customers are no longer asking whether AI will transform their business. They are asking how to do it responsibly, securely, and in a way that delivers real, measurable value. That continues to shape how we build Azure, from our global infrastructure to our data and AI platforms. Thanks to our customers and partners for the great conversations and insights.
-
Scott Guthrie reposted thisScott Guthrie reposted this𝗔𝘇𝘂𝗿𝗲 𝗖𝗼𝘀𝗺𝗼𝘀 𝗗𝗕 𝗖𝗼𝗻𝗳 𝟮𝟬𝟮𝟲 𝗶𝘀 𝗳𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀. Shireesh Thota, Corporate Vice President of Azure Databases at Microsoft, is sharing what’s coming at Azure Cosmos DB Conf 2026. From building globally distributed apps to handling low latency, elasticity, high availability, and agentic AI, this is what real-world development looks like today. Azure Cosmos DB Conf 2026 sessions are all about real architectures, real decisions, and production-ready solutions using Azure Cosmos DB and Azure DocumentDB. 📅 April 28, 2026 at 9 AM PT 📺 Streaming live https://lnkd.in/eW-8vjKS 👉 Registration details: https://lnkd.in/edq9p9ZT Come build with us. #AzureCosmosDBConf #AzureCosmosDB #AzureDocumentDBDon’t Miss Azure Cosmos DB Conf 2026 – Hear from Shireesh ThotaDon’t Miss Azure Cosmos DB Conf 2026 – Hear from Shireesh Thota
-
Scott Guthrie shared thisAs AI workloads get bigger and more complex, we are engineering the full stack from our custom-built silicon all the way to the datacenter. Today we launched Maia 200, our next-generation AI accelerator chip. Maia 200 is an AI inference powerhouse: the most performant first‑party silicon from any hyperscaler, with three times the FP4 performance of Amazon’s third‑generation Trainium and FP8 performance above Google’s seventh‑generation TPU. It’s also the most efficient inference system we’ve ever deployed, delivering 30% better performance per dollar than the latest hardware in our fleet. Already running in our Iowa datacenter with impressive throughput, Maia 200 is accelerating today’s multimodal, multicall AI workloads with faster inference and higher output at scale. Read more in my blog post: https://lnkd.in/gRRc2NdvScott Guthrie shared thisOur newest AI accelerator Maia 200 is now online in Azure. Designed for industry-leading inference efficiency, it delivers 30% better performance per dollar than current systems. And with 10+ PFLOPS FP4 throughput, ~5 PFLOPS FP8, and 216GB HBM3e with 7TB/s of memory bandwidth it's optimized for large-scale AI workloads. It joins our broader portfolio of CPUs, GPUs, and custom accelerators, giving customers more options to run advanced AI workloads faster and more cost-effectively on Azure. Read more: https://lnkd.in/ghvtfJYe
-
Scott Guthrie reposted thisScott Guthrie reposted thisToday, we are announcing Microsoft’s five‑point plan for building Community‑First AI Infrastructure, our pledge to build and operate datacenters responsibly as we help power the next generation of AI. Progress must go hand in hand with partnership, and these commitments set a high bar for how we work with communities across the United States. Building AI infrastructure isn’t just about technology, it’s about a long-term view that benefits everyone. https://lnkd.in/eXVJ89dM Watch the livestream: https://lnkd.in/edkNet7u
-
Scott Guthrie shared thisLast week at #MSIgnite, I sat down with Corey Noles from The Neuron - AI News to talk about how we’re building the foundation for the AI era. We discussed model choice with partners like OpenAI and Anthropic, the next generation of Microsoft AI datacenters designed for both performance and sustainability, and what’s ahead as AI unlocks capabilities that help customers innovate in ways we can’t yet imagine. Watch the full conversation here: https://lnkd.in/g5sKpeNsHow much water does a data center use? Microsoft's Scott Guthrie explainsHow much water does a data center use? Microsoft's Scott Guthrie explains
-
Scott Guthrie shared thisAs we kick off Day 1 at Microsoft Ignite, we’re announcing SAP BDC Connect for Microsoft Fabric. This new integration brings SAP data products into OneLake with Zero-Copy Mirroring, giving organizations a trusted foundation to unify SAP and non-SAP data without duplication. That means faster insights, smarter decisions, and the ability to turn analytics and AI innovation into real business outcomes. Read the full announcement here: https://lnkd.in/ggTpgccg #MSIgnite #SAP #MicrosoftFabricSAP and Microsoft accelerate business insights and AI innovation with SAP Business Data Cloud Connect for Microsoft Fabric | Microsoft Fabric Blog | Microsoft FabricSAP and Microsoft accelerate business insights and AI innovation with SAP Business Data Cloud Connect for Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
-
Scott Guthrie shared thisExcited to share more about our second Fairwater site, part of Microsoft’s next-generation Azure AI datacenter network. Fairwater Atlanta is purpose-built AI infrastructure at massive scale that can connect hundreds of thousands of NVIDIA GB200 and GB300 GPUs across a single, flat network. It is deeply integrated with Fairwater Wisconsin via a dedicated AI WAN backbone. Together with earlier generations of AI supercomputers and our broader Azure footprint, they form the world’s first planet-scale AI super factory. This unified system delivers elastic capacity across training and inference. It supports dynamic workload allocation with fit-for-purpose infrastructure and is available alongside the full Azure cloud stack that AI agents and applications depend on. Fairwater provides a single platform to power the entire AI lifecycle. I go deeper on the technical innovations behind our newest datacenter in this blog: https://aka.ms/AAyjgcyScott Guthrie shared thisToday we announced our new Fairwater datacenter in Atlanta, connected with our first Fairwater site in Wisconsin and our broader Azure footprint to create the world’s first AI superfactory. Fairwater exemplifies our vision for a fungible fleet: infra that can serve any workload, anywhere, on fit-for-purpose accelerators and network paths, with maximum performance and efficiency. AI workloads have evolved beyond large-scale pre-training. Today, they encompass fine-tuning, reinforcement learning (RL), synthetic data generation, evaluation pipelines, and more. Fairwater is built to support this full lifecycle: Max density: Fairwater’s two-story design and liquid cooling system lets us place racks in three dimensions and pack them with GPUs as densely as possible, minimizing cable runs and improving latency and effective bandwidth. Fleet: Each Fairwater DC can integrate hundreds of thousands of the latest NVIDIA GPUs into a single coherent cluster. This provides flexible infra that can support the full spectrum of workloads, and ensure no GPU is left unnecessarily idle. And that’s on top of the more than 100,000 GB300s coming online this quarter alone for inference across the rest of our fleet. For us, it’s all about turning every gigawatt into the maximum number of useful tokens. Not every GW is created equal! Planet-scale: Every Fairwater DC will connect through our continent-spanning AI WAN to prior generations of AI supercomputers, forming a truly fungible pool of compute. This enables developers to scale beyond the capacity of a single site and dynamically land workloads on the right infra for their needs. Together, these innovations let us bring together different generations of silicon and AI systems across DCs and geos into a single elastic system that scales seamlessly across training and inference workloads And this elastic AI capacity is all available alongside all the other cloud services (compute, storage, databases, app services) that AI agents and workloads need. This is what we mean when we talk about building a fungible fleet – a single, unified platform that pushes the limits of performance per watt and per dollar. Read more: https://lnkd.in/e82Dm2jQ
-
Scott Guthrie shared thisJust a few weeks until #MSIgnite in San Francisco, where I’ll share how our technology is helping customers build the next generation of AI powered apps and agents. By bringing together unified data, intelligent tools, and new design approaches, we’re turning automation into real impact. Join us: https://lnkd.in/gDD2siY8
-
Scott Guthrie liked thisScott Guthrie liked thisAs sovereignty and regulatory requirements tighten worldwide, infrastructure must evolve. Azure Local is extending Sovereign Private Cloud to support multi rack, high density deployments with Intel Xeon 6 processors, helping government, critical infrastructure, and regulated organizations scale locally with confidence. Find out more: https://msft.it/6045vGbcdMicrosoft Sovereign Private Cloud scales to thousands of nodes with Azure Local - The Official Microsoft BlogMicrosoft Sovereign Private Cloud scales to thousands of nodes with Azure Local - The Official Microsoft Blog
-
Scott Guthrie liked thisScott Guthrie liked thisAt NVIDIA GTC today, three announcements I'm excited about: 1. Microsoft Foundry Agent Service is GA: with observability, voice, and NVIDIA Nemotron models. Build agents, deploy them at scale, keep them governed. 2. New Azure AI infra for reasoning workloads: optimized for inference, with support for NVIDIA Vera Rubin across global and sovereign environments. 3. Physical AI with NVIDIA: connecting simulation, operational data, and AI-driven action in the real world. The common thread: closing the gap between AI experimentation and production that runs at scale. Learn more: https://lnkd.in/gBD2-YPgMicrosoft at NVIDIA GTC: New solutions for Microsoft Foundry, Azure AI infrastructure and Physical AI - The Official Microsoft BlogMicrosoft at NVIDIA GTC: New solutions for Microsoft Foundry, Azure AI infrastructure and Physical AI - The Official Microsoft Blog
-
Scott Guthrie liked thisScott Guthrie liked thisToday, we are announcing Microsoft’s five‑point plan for building Community‑First AI Infrastructure, our pledge to build and operate datacenters responsibly as we help power the next generation of AI. Progress must go hand in hand with partnership, and these commitments set a high bar for how we work with communities across the United States. Building AI infrastructure isn’t just about technology, it’s about a long-term view that benefits everyone. https://lnkd.in/eXVJ89dM Watch the livestream: https://lnkd.in/edkNet7u
Experience
Education
View Scott’s full profile
-
See who you know in common
-
Get introduced
-
Contact Scott directly
Explore more posts
-
Doug Green
9K followers
VAST Data Partners with Google Cloud to Enable Enterprise AI at Scale Across Hybrid Cloud Environments The VAST AI Operating System on Google Cloud creates a global data foundation that unites on-prem and cloud environments, powering AI workloads to run anywhere in the world with intelligent streaming and consistent performance SYDNEY, AUSTRALIA - November 12, 2025 - VAST Data, the AI Operating System company, today announced an expanded partnership with Google Cloud, enabling customers to deploy the ...
-
Kai Rupponen
SUSE • 4K followers
📈 Whether you're a system administrator, developer or SRE, staying ahead in cloud-native computing means embracing the tools that give you a competitive edge. One of those tools? eBPF (Extended Berkeley Packet Filter) 🎉 From enhanced security and networking to next-level observability, eBPF is transforming how modern platforms monitor and understand operating systems and applications. That’s why SUSE integrates eBPF into our observability platform —delivering real-time insights, performance visibility and operational control across environments. 📖 Find out more: https://okt.to/WygrJV #eBPF #Observability #CloudNative #SUSE #DevOps #SRE #Linux #InfrastructureMonitoring #PlatformEngineering
-
Bob Michie
MetroMSP, llc • 4K followers
Cultural change + measurable cost savings = growth. By moving workloads to @microsoft-azure with Azure VMware Solution, the department reduced costs, improved flexibility, and fostered a cultural shift toward innovation. Read this customer story to see how public sector organizations can achieve measurable savings while modernizing securely:
1
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content