Key Takeaways
A new analysis of Nvidia Corp.’s next-generation AI platform reveals a dramatic escalation in cost and a fundamental reordering of the hardware value chain, with the total price of a single rack approaching $7.8 million and significant value shifting from the core GPU to its supporting components. The bill of materials (BOM) teardown by Morgan Stanley suggests the Rubin VR200 NVL72 rack will cost nearly double the estimated $3.99 million of its Blackwell GB300 predecessor, signaling a massive expansion of the hardware ecosystem that powers artificial intelligence.
"Every single frontier model company will jump on Vera Rubin from the get-go," Nvidia CEO Jensen Huang said recently, confirming production shipments will begin in the third quarter of 2026. "Vera Rubin is off to a tremendous start, and it’ll surely be more successful than even Grace Blackwell.”
The primary driver of the cost increase is a 435% surge in the value of memory, which now accounts for an estimated $2 million of the total, or roughly 26% of the BOM. This displaces the GPU's dominance, shrinking its share from approximately 65% in the GB200 system to 51% in the VR200, even as the GPU's absolute dollar value grows 57% to $3.96 million. The analysis comes as demand for AI infrastructure continues to surge, with Nvidia reporting record data center revenue of $75.2 billion in its most recent quarter, up 92% year-over-year.
For investors, the report signals a major re-evaluation of the AI hardware supply chain. While Nvidia maintains its pricing power, the ballooning cost of components means a much larger portion of the economic benefit will flow to manufacturers of parts like printed circuit boards, capacitors, and memory substrates. This shift could trigger a rally in component stocks as the market digests their dramatically increased contribution to AI systems.
The Morgan Stanley report details a broad-based increase in component value far exceeding the growth of the GPU itself. The content value for printed circuit boards (PCBs) is projected to grow 233% to $116,700 per rack, driven by the introduction of new, high-value ConnectX and Midplane PCBs that did not exist in the prior generation, alongside specification upgrades to higher layer counts and materials.
Other key components see similar increases. The value of multi-layer ceramic capacitors (MLCCs) is expected to rise 182% to $4,320, while the ABF substrate that houses the GPU and other chips will see its value climb 82% to $20,300. These gains are propelled by a combination of higher component density on existing boards and the requirements of new modules like the BlueField DPU.
Contrary to market expectations that system standardization would compress the value added by original design manufacturers (ODMs), the analysis projects their absolute dollar contribution will increase by 35% to 40%, from roughly $108,200 for a GB300 rack to $149,600 for a VR200. This finding, which aligns with recent commentary from Wistron management, suggests investors should focus on the growth in absolute profits for ODMs rather than the expected decline in gross margin percentage, which is forecast to fall from 2.7% to 1.9% due to the much higher total system cost.
The analysis highlights a broadening of the AI investment landscape. As systems become more complex and powerful, the value is distributed more widely across a sophisticated supply chain. This trend is further evidenced by a structural shift toward consignment models being discussed by ODMs like Foxconn and Quanta, a move that could ease working capital pressures from these increasingly expensive components. For investors, the takeaway is clear: the AI revolution is creating significant value far beyond the headline-grabbing GPU.
This article is for informational purposes only and does not constitute investment advice.
