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Short answer: NVIDIA is taking control of more of the AI-system architecture and supplying highly integrated compute modules, but available evidence does not show that it is eliminating Dell, HPE, Supermicro, Quanta, Wistron, Foxconn, or other server manufacturers. A November 2025 report about possible “L10” compute trays was never officially confirmed. NVIDIA’s 2026 announcements do confirm a broader shift toward validated, modular rack-scale systems built through a large manufacturing ecosystem.
What was originally reported
On November 13–14, 2025, reporting attributed to a J.P. Morgan assessment said NVIDIA might begin supplying partners with substantially complete Level-10, or “L10,” compute trays for the Vera Rubin generation. The account was explicitly unconfirmed by NVIDIA. The original report described a tray containing much of the costly compute subsystem: Vera CPUs, Rubin GPUs, memory, networking, power-delivery hardware, interfaces and liquid-cooling components.
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That allegation was narrower than the phrase “fully assembled AI servers” suggests. An L10 tray would be a preassembled and tested compute module, not necessarily a finished server or a complete data-center rack. OEMs and ODMs could still be responsible for the enclosure, rack integration, power shelves, coolant-distribution equipment, management controllers, firmware integration, final validation, deployment and service.
The margin-capture rationale in the J.P. Morgan-linked coverage should remain attributed to that analysis, not presented as an NVIDIA-confirmed strategy. NVIDIA did not confirm that it would manufacture every tray, sell every finished system directly, or make any particular company the exclusive manufacturing partner.
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What “fully assembled” can mean
| Level | What is assembled | Who may control the design |
|---|---|---|
| Component | GPU, CPU, NIC, DPU, memory or power device | NVIDIA and component suppliers |
| Board or subsystem | Populated compute board or module | NVIDIA, an ODM or both |
| Compute tray | Processors, memory, networking, power delivery, cooling plates and mechanical interfaces assembled and tested together | Increasingly NVIDIA-defined, with manufacturing partners |
| Server | One or more trays in a chassis with management, power, cooling and firmware | OEM or ODM, often using NVIDIA specifications |
| Rack | Multiple trays or servers, NVLink switches, power distribution, manifolds, coolant-distribution units and rack management | NVIDIA architecture plus system manufacturers |
| Pod or AI factory | Several rack types linked with networking, storage, software and facility systems | NVIDIA ecosystem, integrators, cloud operators and site owners |
The 2025 allegation concerned the tray or compute-subsystem level. NVIDIA’s later public material concerns the rack and broader AI-factory levels. Those developments are connected, but they are not the same claim.
What NVIDIA has officially announced about Vera Rubin
NVIDIA’s 2026 announcements establish Vera Rubin as a platform rather than a single GPU. The Vera Rubin NVL72 is described as a rack-scale AI supercomputer combining 72 Rubin GPUs, 36 Vera CPUs, NVLink 6, ConnectX-9 networking and BlueField-4 DPUs. NVIDIA also presents Rubin as part of an AI-factory architecture spanning compute, networking, storage and software.
In its GTC compute-tray presentation, NVIDIA describes a module with:
- Two Vera CPUs.
- Four Rubin GPUs.
- Eight ConnectX-9 NICs.
- One BlueField-4 DPU.
- A cable-free design in which the tray presentation shows no hoses or fans inside the tray.
The company says the NVL72 design uses 18 compute trays and nine NVLink switch trays. Its product materials emphasize cable-free modular trays, liquid cooling and an integrated mechanical and electrical architecture. NVIDIA’s compute-tray presentation and GTC Taipei rack presentation provide the clearest public descriptions.
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How this extends the Blackwell-era trend
NVIDIA has progressively supplied more complete assemblies and reference designs. Earlier HGX and GB200-era products still varied by customer and product, so OEMs and ODMs had differing room to design boards, power systems, thermal solutions and chassis. It would be inaccurate to claim that every previous Blackwell system gave manufacturers complete freedom.
Rubin’s density and coupling leave less practical room for independent redesign. A standardized tray can be validated once, repeated across systems and replaced as a module. NVIDIA’s cable-free design claims also target assembly time, serviceability and error reduction. The strategic change is therefore best understood as tighter control of system architecture, not proof that NVIDIA has become the sole server builder.
Why NVIDIA wants more system control
Engineering reasons
- Higher power density makes signal integrity, power delivery and thermal design harder to separate into independent vendor decisions.
- A validated tray lets NVIDIA control interactions among GPUs, CPUs, memory, NVLink, networking, cooling and firmware.
- Modular trays can simplify replacement and fleet qualification.
- Rack-scale designs can be optimized as one electrical, mechanical and software system.
Business reasons
- NVIDIA can address more of the server, networking, storage and rack value chain.
- Fewer design variants can reduce qualification and deployment friction.
- A complete platform can strengthen dependence on CUDA, NVLink, NVIDIA networking and management software.
- System-level control can make competing accelerators harder to substitute without changing the surrounding infrastructure.
The suggestion that NVIDIA wants to capture a larger share of system margins comes from the J.P. Morgan-linked reporting. NVIDIA has not stated that as an official motive.
What OEMs and ODMs still do
NVIDIA’s own announcements continue to identify server manufacturers and supply-chain partners as central to Rubin deployment. The company says more than 80 MGX ecosystem partners support the rack design and that 150 Taiwan supply-chain partners across more than 350 factories and 30 countries are involved in the Rubin ramp.
NVIDIA named Bull, Dell Technologies, GIGABYTE, HPE and Supermicro among manufacturers announcing Rubin-based scientific and high-density systems in its June 22 announcement. Quanta, Wistron and Foxconn remain relevant as manufacturing and integration possibilities, but claims that any one is the primary or exclusive L10 supplier are unverified.
- Chassis and mechanical integration.
- Rack-level power equipment, busbars and power shelves.
- Coolant-distribution units, manifolds and facility-side cooling interfaces.
- Baseboard management, fleet software and firmware integration.
- Customer-specific storage, networking, security and compliance.
- Manufacturing execution, final validation, logistics, installation and field service.
- Regional certifications, support contracts and lifecycle replacement.
Is the NVL72 rack itself “fully assembled”?
NVIDIA presents NVL72 as an integrated rack-scale system, not merely a collection of accelerator boards. Yet “integrated” describes the architecture; it does not establish who physically builds, sells or services every rack.
A customer may still need site-level high-current power, liquid-cooling distribution, networking, monitoring, commissioning and maintenance. The final rack can be manufactured and shipped by a partner, installed by an integrator and supported under a contract that divides responsibilities among NVIDIA, the OEM and the operator. Nor does every Rubin product use NVL72. NVIDIA separately identifies HGX Rubin NVL8 and says NVL4 systems are expected from global manufacturers in the fourth quarter of 2026.
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NVIDIA
NVIDIA gains potential system revenue, tighter quality control, faster repeatable deployments and stronger lock-in around its complete stack. The risk is greater exposure to manufacturing defects, testing, warranty disputes, field service and rack-level failures. NVIDIA’s disclosures still acknowledge reliance on third parties to manufacture, assemble, package and test products.
OEMs and ODMs
Standardized trays can reduce the engineering burden and risk of designing extremely dense boards. Manufacturers can still earn from chassis, rack integration, deployment, financing, support and regional service. The trade-off is less differentiation in the compute core, potentially lower margins and greater dependence on NVIDIA’s allocation and architecture decisions.
Hyperscalers, AI labs and cloud providers
Validated racks can shorten qualification and provide more predictable performance. They also reduce customization, increase vendor concentration and make upgrades more dependent on a tightly coupled design. Facility operators must plan for extreme power density and liquid cooling.
Data-center operators
The value proposition is not just a faster GPU. It is a decision about rack topology, power, cooling, networking, software, service ownership and capital commitment. A standardized platform can reduce integration work while creating a larger common failure domain if a design or supply bottleneck affects many racks.
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- Which configuration is being quoted? Confirm whether it is NVL72, NVL4, HGX Rubin NVL8 or another Rubin design.
- Who is the contracting seller? Identify whether the purchase is from NVIDIA, an OEM, an integrator or a cloud provider.
- What arrives preassembled and tested? Request the bill of materials and acceptance-test scope for trays, servers and racks.
- Who owns failures? Clarify warranty responsibility for a tray, rack, coolant loop, switch and facility interface.
- What can be changed? Ask whether storage, networking, firmware, management tools and security controls are replaceable or mandatory.
- What does the site require? Confirm power capacity, liquid-cooling distribution, floor loading, network topology and commissioning work.
- Can failed trays be swapped independently? Serviceability matters more than the word “modular” in a presentation.
- What capacity and delivery commitments apply? Partner availability and allocation are not the same as universal shipment dates.
What remains unverified
- Whether NVIDIA directly manufactures all L10 compute trays.
- Whether any company is the exclusive EMS supplier.
- Whether a tray represents about 90% of a server’s cost.
- Whether relevant Rubin GPUs consume a specific 1.8 kW to 2.3 kW per-GPU figure.
- Whether NVIDIA will eventually assemble and sell complete racks or pods itself.
- Whether OEM margins will materially decline.
- Whether deployment time will fall from nine to twelve months to approximately 90 days.
- Whether every Vera Rubin configuration uses the same tray architecture.
Those points appear in secondary reporting or commentary, not in a primary NVIDIA confirmation. They should not be treated as established facts.
The business model is shifting, not disappearing
The timeline now has two distinct milestones. In November 2025, an unconfirmed report forecast that NVIDIA might supply L10 trays. By August 18, 2026, NVIDIA had publicly shown integrated Rubin trays and rack-scale systems, announced full-production ramping and identified a broad set of manufacturing and system partners.
That evidence supports a clear conclusion: NVIDIA is becoming an AI-infrastructure platform company with greater control over validated modules, racks and the surrounding software and networking stack. It does not support the stronger claim that NVIDIA has replaced server manufacturers or assumed every assembly, sales and service obligation. The likely end state is an ecosystem in which NVIDIA defines more of the architecture while OEMs, ODMs, cloud providers and integrators continue to build, deploy and support the systems.
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