The new Fairwater AI datacenter in Atlanta, powered by hundreds of thousands NVIDIA Blackwell and Blackwell Ultra GPUs leveraging the NVIDIA GB200 and GB300 NVL72 rack-scale systems with Spectrum-X Ethernet, is pushing boundaries for performance, sustainability, and AI infrastructure. Proud to be a part of the next chapter in AI innovation alongside Microsoft.
Today 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
Fairwater reflects the new reality of datacenters: accelerated compute at scale, sustainable design, and cloud-AI synergy. Great to see industry leaders pushing boundaries like this.
Congratulations, and this is wild! a datacenter that thinks in 3D and scales across continents. Truly the future of AI infra. 🚀
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The models are fat with parameters that aren't necessary. 2026 might be the dawn of the pruning era...
This is a massive leap forward. Fairwater isn’t just a datacenter — it’s the backbone of the next era of AI scale. Excited to see how this fungible fleet model reshapes global AI infrastructure.
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The fungible fleet concept is a game changer. This sets a new bar for AI datacenters. Love the focus on full lifecycle AI workloads. Serious progress.
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4dImpressive! NVIDIA’s Fairwater AI datacenter in Atlanta is a significant leap forward in AI infrastructure. With the combination of cutting-edge GPUs and ultra-fast connectivity, this move pushes boundaries in both performance and sustainability. It’s exciting to see such innovation shaping the future of AI, and the collaboration with Microsoft will surely accelerate these advancements. Looking forward to seeing how this AI superfactory evolves and what breakthroughs it will enable!