Microsoft’s conference call is ongoing and CEO Satya Nadella opened his portion of the call, highlighting Microsoft’s capacity additions.
Microsoft backed out of several deals in early 2025 and now finds its stock sliding due to Azure growth rates that have disappointed Wall Street. Both Alphabet and Meta increased their capital spending plans for 2026 (again) during tonight’s earnings call. So, it’s important for Nadella to defend Microsoft’s investment in this space.
Here’s what Nadella had to say:
“Today, I’ll focus my remarks on both priorities, starting with infrastructure. We’re optimizing every layer of the tech stack from DC design to silicon to system software, the model architecture as well as its optimization. This is translating into operational gains. We have reduced, [ docked the ] life times for new GPUs in our biggest regions by nearly 20% since the beginning of the year. Our Fairwater data center in Wisconsin came online earlier this month, 6 weeks ahead of schedule, allowing us to recognize revenue earlier. And we delivered a 40% improvement in inference throughput for our most used models across Copilot driven by our software and hardware optimization work.
All up, we added another gigawatt of capacity this quarter and remain on track to double our overall footprint in just 2 years. We are moving aggressively to add capacity aligned to our demand signals we see and we have announced new data center investments across 4 continents. We also continue to modernize our fleet with our first-party innovation alongside the latest from NVIDIA and AMD. Across our fleet, millions of servers are powered by our custom networking security and virtualization silicon, including Azure Boost as well as our first-party CPUs and accelerators.
Our Maia 200 AI accelerator, which offers over 30% improved tokens per dollar compared to the latest silicon in our fleet is now live in our Iowa and Arizona data centers. Our Cobalt server CPU is deployed in nearly half of our DC regions running workloads at scale for customers like Databricks, Siemens, and Snowflake. As our largest customers scale their AI deployments, they’re increasingly leveraging other services across our platform and choosing to run those workloads on Cobalt. And we are expanding Cobalt supply significantly to meet this demand.”