Nvidia and Hon Hai Boosted Robot Assembly Efficiency

The companies utilized advanced robotics to improve success rates for complex AI server platform assembly.

Updated on Oct. 5, 2026 in Robotics

A close-up of a robotic arm installing a cable connector into a server chassis in a modern assembly plant. — Nvidia and Hon Hai Precision Industry have implemented advanced robotic automation to increase assembly efficiency for AI server platforms, including the GB300 NVL72. AI Illustration. Upload story photo >

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Nvidia and Hon Hai Precision Industry Co. have successfully increased assembly efficiency for GB300 NVL72 platforms using specialized robots. This automation development aims to streamline the production of AI server components.

Why it matters

Flexible automation has become essential for manufacturers as rapid AI design cycles and low production volumes make traditional, fixed assembly lines increasingly infeasible.

The system achieves a 95 percent success rate for bus bar assembly within 124 seconds and a 90 to 95 percent success rate for multi-connector insertion within 72 seconds. Robots execute these tasks by handling electrical connectors and tightening 16 screws.

The players

Nvidia

Nvidia is a leading technology company that specializes in graphics processing units and artificial intelligence hardware solutions.

Hon Hai Precision Industry Co.

Hon Hai Precision Industry Co. is a major multinational electronics contract manufacturer often referred to as Foxconn.

The details

Robots perform complex tasks by grasping, transporting, and securing metal bars at 16 distinct locations while also inserting cable-mounted electrical connectors into sockets. Hon Hai currently commands over 40 percent of the global AI server market and expects its rack shipments to more than double year-over-year.

November 21, 2025: The GB300 NVL72 platform was showcased at Hon Hai Tech Day.
August 2026: Hon Hai conducted an investor conference.
October 2, 2026: Nvidia and Hon Hai announced the new robot assembly efficiency results.

The Tech Race

This collaboration marks a shift toward replacing rigid assembly systems with flexible, model-driven robotics to handle rapid AI hardware design cycles. These developments solidify the competitive advantage of major manufacturers as they fight for market share in the AI sector.

The adoption of these advanced robotics systems is expected to increase the supply of AI server components in the United States. Increased efficiency in high-tech manufacturing may lead to broader availability and faster delivery timelines for critical AI infrastructure components.

The takeaway

The move toward humanoid robots suggests a future where high-precision electronic assembly becomes increasingly automated and agile. Businesses that successfully integrate these adaptive technologies can better navigate the pressure of shifting global AI hardware demands.