
For general readers, this update is less about a single product and more about the manufacturing layer behind AI systems. NVIDIA has announced a supply-chain effort to broaden global manufacturing capacity as demand rises for accelerated computing and a full-stack AI factory platform. MyTechDailyNews General breaks down the move through the stated capacity targets, locations and dates: substrate capacity is set to grow 2.5x in three years, while semiconductor testing capacity is expected to double from 2026 to 2027.
The companies named in the plan are Amkor Technology, IBIDEN, King Yuan Electronics (KYEC), Samsung Electro-Mechanics, Siliconware Precision Industries (SPIL) and Unimicron Technology Corporation. Their work spans substrates, advanced packaging, testing and optical engines in Japan, South Korea, Taiwan, US and Singapore. According to the announcement, this helps new and existing suppliers broaden key manufacturing capabilities and strengthens resiliency and redundancy in NVIDIA's global supply chain.
| Area | Stated target | Timing to watch |
|---|---|---|
| Substrates | 2.5x capacity for NVIDIA's products within the next three years | first quarter of 2028; second quarter of 2027; mid-2028 |
| Advanced packaging | greater than 300% increase in interposer wafer capacity | By 2028; end of 2028 |
| Testing | total semiconductor testing capacity expected to double | February 2027; April 2027 |
| Optical engines | 15x for co-packaged optics, then another doubling | mid-2027; end of 2028 |
That table is a quick orientation, not a new claim. It keeps the original plan's numbers, names and places in one view, so readers can move from the headline capacity changes to the individual supplier updates without getting lost in a longer narrative.
The substrate objective is a 2.5x increase in capacity for NVIDIA's products over the next three years. More agreements are in progress.
The IBIDEN portion was signed and announced earlier this year. It involves a multibillion-dollar capacity reservation advance from NVIDIA to support IBIDEN's Ono Plant in Japan. Capacity at the plant is targeted at 3x current levels, and extra capacity should begin ramping in the first quarter of 2028.
Samsung Electro-Mechanics adds immediate capacity from existing operations in South Korea. Its part of the collaboration also covers facility upgrades and new factories in Sejong and Busan, South Korea. By 2028, production allocated to NVIDIA is projected to represent a significant portion of Samsung Electro-Mechanics' total annual package substrate production capacity.
Unimicron's KF substrate manufacturing expansion in Taiwan is tied to a capacity reservation agreement backed by NVIDIA. Capacity additions are expected to start in the second quarter of 2027, with full capacity by mid-2028.
For a general reader, the practical takeaway from this section is that substrates are one of the first bottlenecks the plan addresses. They are not a single chip, but they are part of the manufacturing path that makes large-scale computing hardware more available.
The advanced packaging side centers on South Korea. NVIDIA and Amkor intend to add capacity there, with a stated target of a greater than 300% increase in interposer wafer capacity by the end of 2028. Amkor is also developing new manufacturing facilities in South Korea. The combined expansion is expected to support higher production volumes for NVIDIA's current and next-generation platforms.
This part of the plan matters because packaging is where individual chips become usable pieces of a larger computing system. The stated goal is not just to assemble more units in one place, but to support a broader manufacturing footprint across the supply chain.
The company expects total semiconductor testing capacity to double from calendar 2026 to 2027. That buildout will be supported by facilities in the U.S., Taiwan and Singapore.
A $1.1 billion capacity reservation advance to King Yuan Electronics (KYEC) is earmarked for new U.S. testing facilities and equipment. Targeted high-volume production starts in April 2027.
In Singapore, expanded testing operations are expected to enter high-volume production in February 2027. The effort also strengthens US manufacturing.
For non-specialist readers, testing can be understood as the quality-and-yield step before AI hardware reaches customers at scale. A stated doubling within a single calendar-year window shows why the plan is positioned as an urgent capacity move rather than a routine supplier refresh.
NVIDIA and Siliconware Precision Industries (SPIL) intend to expand manufacturing capacity in Taiwan for optical engines used in co-packaged optics. The expansion supports growing connectivity requirements for large-scale computing infrastructure. The stated target is 15x by mid-2027, followed by another doubling by the end of 2028.
This is the part of the story that connects AI computing to networking and data movement. Large deployments do not only need compute capacity; they also need the interconnect hardware that carries information between systems. The SPIL plan addresses that side of the infrastructure.
Use this MyTechDailyNews General summary as a tracking sheet rather than a one-time news note. The practical way to follow the story is to separate the three layers that the plan touches: capacity, location and timing. If you are covering technology for a team, product, market or general interest, that breakdown gives a clearer reading of what is moving now and what is scheduled later.
For now, the most reliable signals are the stated numbers and checkpoints already in the announcement: 2.5x substrate capacity in three years, a $1.1 billion testing advance for KYEC, a greater than 300% advanced packaging target, a 15x optical-engine target by mid-2027, and dates spread from February 2027 to the end of 2028. The broader point is that AI manufacturing is becoming a supply-chain story, not just a product announcement story, and MyTechDailyNews General will keep that framing front and center for readers.