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Nvidia’s CFO Colette Kress has reiterated that the company maintains a neutral stance toward all sovereign AI customers and AI cloud providers.
The chipmaker is aggressively diversifying its customer base beyond the hyperscalers that have historically dominated its data center revenue. And the numbers suggest it’s working.
The ACIE pivot is paying off
Nvidia has been quietly building what it calls its ACIE segment, covering AI Cloud, Industrial, and Enterprise customers. That segment posted $37 billion in revenue during Q1 of fiscal year 2027, with AI cloud revenue alone tripling year-over-year.
Sovereign AI, where governments build their own AI compute infrastructure rather than relying on US-based cloud giants, has been a particularly potent growth driver. Revenue from sovereign AI initiatives surged over 80% year-over-year, reaching approximately $30 billion across fiscal 2026.
To put that in perspective, hyperscalers like Microsoft, Google, and Amazon still account for roughly 50-60% of Nvidia’s data center revenue. That’s a dominant share, but the trajectory is clear: the non-hyperscaler pie is growing fast enough to reshape the ratio.
Nearly 40 countries, one supplier
Nvidia now supports deployments across public clouds, on-premises data centers, and state-backed sovereign facilities in nearly 40 countries. The company positions itself as a full-stack infrastructure provider, bundling GPUs, CPUs, and networking software into integrated solutions.
Recent partnerships have aimed to mobilize over $500 billion for AI infrastructure, with financial heavyweights like Apollo and BlackRock joining the effort.
Why the customer mix matters
Concentration risk has long been the elephant in the room for Nvidia investors. When a handful of hyperscalers account for the majority of your most important revenue stream, any slowdown in their spending plans sends your stock into a tailspin.
Nvidia’s collaboration with model builders like OpenAI and various neo-cloud providers further broadens the base. These companies need compute at scale, and they’re increasingly building or leasing their own infrastructure rather than running exclusively on hyperscaler clouds.
For Nvidia, the math is straightforward. A $3-4 trillion annual AI infrastructure market by decade’s end is large enough to support multiple massive revenue streams simultaneously. Given that ACIE revenue just hit $37 billion in a single quarter, that bet is looking increasingly well-placed.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
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