Microsoft · Nvidia · Google · Compute · NVIDIA Blog
Why Scaling AI Compute Performance Requires a New Power Architecture
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Every new generation of accelerated computing demands more from the infrastructure underneath it, more compute performance, higher rack density and more efficient, scalable power distribution.
Key facts
- NVIDIA, Google and Microsoft have been developing the 800 VDC architecture together through the Open Compute Project (OCP), and published a joint white paper March 2026 and the LVDC Solid-State
- Wood Mackenzie projects $9 trillion in global AI and data infrastructure investment through 2040
- The 800 VDC architecture specifications define common interfaces so that power hardware from different vendors can work together inside the same 800 VDC facility
- The NVIDIA MGX-compatible 800 VDC power rack, arriving in the second half of 2026, creates a hybrid architecture that brings next-generation rack-scale compute performance to facilities
Summary
In traditional power delivery, electricity travels from the grid as an alternating current (AC) and gets converted multiple times, each time adding overhead and complexity as racks become denser. 800 VDC simplifies that path. NVIDIA, Google and Microsoft have been developing the 800 VDC architecture together through the Open Compute Project (OCP), and published a joint white paper March 2026 and the LVDC Solid-State Transformer Specification v0.3 July 2026. Most of today’s AI factories were designed around AC distribution.