NVIDIA Asia production costs hit 90%
- Nvidia’s latest Asia tie-ups pushed a Bloomberg supply-chain tally to about 90% of production costs, as partners from Korea, Taiwan, and China rallied. - The sharp jump from roughly 65% last year came as LG Electronics rose as much as 15% and Nanya Technology climbed 10%. - It matters because Nvidia now makes most of its money in data centers, where Asia’s factories, memory, and assembly lines are the bottleneck.
Nvidia is no longer just a chip designer with a few critical Asian suppliers. The company’s economics now run straight through Asia. A Bloomberg analysis published May 3 said Asian suppliers account for about 90% of Nvidia’s production costs, up from roughly 65% last year, and that jump landed just as a fresh batch of regional partners saw their stocks pop on Nvidia-related news. (theedgemalaysia.com) ### Why is 90% the big number? Because it tells you where Nvidia’s real dependency sits. Nvidia still designs the systems, writes the software, and captures the profit pool, but the physical work — advanced manufacturing, memory, assembly, and more of the surrounding hardware stack — is increasingly concentrated in Asia. Bloomberg’s tally frames that concentration as a sharp step-up in a single year, not a slow background trend. (theedgemalaysia.com) ### What changed this week? The visible trigger was a new wave of partner announcements and reports tied to what Nvidia calls physical AI — basically robotics, autonomous systems, and AI-enabled machines in the real world. Bloomberg highlighted LG Electronics in South Korea, Nanya Technology in Taiwan, and China’s Huizhou Desay SV Automotive and Pateo Connect as recent(theedgemalaysia.com)ng strategic collaboration in physical AI, including robotics. (theedgemalaysia.com) ### Why did those stocks move so hard? Because investors are treating an Nvidia link like a signal that a company just got plugged into the hottest capital-spending cycle in tech. LG Electronics jumped as much as 15% after local reporting about a home-robot integration plan with Nvidia. Nanya rose 10% after a report on collaboration with Nvidia. That kind of move tells(theedgemalaysia.com)s into products that sit on top of them. (theedgemalaysia.com) ### What does “physical AI” actually mean here? It means Nvidia is trying to own more of the machine layer, not just the model-training layer. The older Asia story was mostly about chips — especially ties with memory suppliers like SK Hynix and Samsung to feed AI servers. The newer story is broader. It includes robotics, autonomous driving systems, factory automation, (theedgemalaysia.com)ical product. (theedgemalaysia.com) ### Why does that shift matter for Nvidia’s business? Because Nvidia already looks much more like an AI infrastructure company than a gaming company. In fiscal 2026, Nvidia posted $215.9 billion in revenue, and $62.3 billion of its $68.1 billion fourth-quarter revenue came from data center. Jensen Huang has been framing the company around “AI factories” and the buildou(theedgemalaysia.com)ts, cars, and automated factories, Asia becomes even more central — not less. (nvidianews.nvidia.com) ### Is this good news or a risk warning? Both. The upside is obvious — Asia has the manufacturing depth Nvidia needs, and the partner list getting longer suggests demand is spreading into new categories. But the catch is concentration. Nvidia’s own 10-K says adding suppliers and contract manufacturers i(nvidianews.nvidia.com)ters more. (sec.gov) ### So what’s the real takeaway? The cleanest way to read this is that Nvidia’s moat is expanding from chips into an Asia-heavy industrial network. That can keep the company ahead as AI moves into robots and machines. But it also means Nvidia’s growth is now more exposed to the same thing powering it — a tightly concentrated Asian supply chain. (theedgemalaysia.com)
