Is Nvidia planning a massive revolution under the surface in the chip production and supply chain?
In a world where AI computing is becoming the main growth engine of the technology industry, is Nvidia trying to change the rules of the game again?
After leading the graphics and AI chip revolution, the company is now planning a profound revolution in how AI servers themselves are assembled, tested, and supplied to customers.
According to reports from supply chain sources in Asia, Nvidia is building a completely new production model for its next generation of AI servers, Vera Rubin, expected to arrive in the second half of 2026.
This move shifts the balance of power between the company and hardware manufacturers (ODMs), giving Nvidia almost complete control over the assembly, testing, and supply process to end customers.
Pay close attention to what is actually changing
- Previously, Nvidia's AI server production process was decentralized:
- Some manufacturers assembled motherboards and intermediate stages (up to L6).
- Others handled system assembly (L6–L10).
- And other companies handled the final enclosure (L11) and distribution.
But in the new model, everything is reversed
Nvidia centralizes control over a very critical part in its hands.
Starting in mid-2026, three Taiwanese giants – Wistron, Quanta, and Foxconn – will assemble Vera Rubin servers up to stage L10 (i.e., until operational testing is complete).
From then on, Nvidia will take the reins: it will directly manage the final stage (L11) – final enclosure assembly, quality control, and physical delivery to customers.
Note
This is not just an operational change – it's a vertical control strategy.
Nvidia understands that to maintain its status as a global standard in AI, it must control not only the chip but also the complete system – from the screws to the enclosure.
This move will allow it to: unify production standards and create complete uniformity in design, quality, and performance. Accelerate delivery times through a structured and centralized process. Reduce variability between different production units and prevent integration issues. And finally, strengthen its position against cloud service providers (CSPs), who receive a “closed and ready” product, ready for immediate deployment.
A technical look at the assembly stages. Nvidia's AI server assembly process is divided into 11 levels (L1–L11): Initial stages - L1–L6: module and motherboard production stages – the heart of the hardware.
Middle stages - L7–L9: integration of core components: GPU, CPU, memory, and storage.
Production completion stage - L10: system testing and full configuration assembly.
Testing and delivery stages - L11: final enclosure, quality control, and packaging for shipment.
The stage Nvidia reserves for itself – L11 – is precisely where the product's final standard is set: how it will look, how it will function, and how it will be perceived by customers.
But there's another detail, no less significant..
Nvidia also takes control of cooling – the small detail that distinguishes good from perfect
As part of the change, Nvidia is also centralizing the procurement of cooling modules – one of the most critical components in the performance of high-power AI servers.
Previously, cloud service providers (CSPs) purchased these modules themselves.
Now, Nvidia is changing the method: it will procure and manage the cooling modules itself, and supply them to the assembly manufacturers.
This ensures that each server will have thermal uniformity, higher quality control, and maximum energy efficiency – a crucial component when dealing with AI servers that consume enormous amounts of electricity.
Take a moment to zoom out and examine the broader picture...
A move for a new era
Nvidia is no longer content with being a “chip manufacturer”.
It is gradually becoming a complete systems company, designing, developing, assembling, and supplying a full product – from silicon to the final enclosure.
This step not only creates a huge competitive advantage but also increases entry barriers to the AI server manufacturing market, where only a handful of companies will be able to meet the new standards it dictates.
In other words, Nvidia is changing the rules of the hardware industry.
It is positioning itself as the controlling factor in the standard, pace, and vision of the global AI industry.
Nvidia is not just building servers – it is building a new ecosystem where every component, every screw, and every module adheres to one language:
Nvidia's vision.