THE APEX TIMES
Coherent breaks ground on expanded Sherman, Texas plant backed by NVIDIA partnership and CHIPS Act funding
The optical component maker is expanding a key indium phosphide (InP) manufacturing line in Texas, aiming to scale the lasers and photonics used to connect AI servers and racks. NVIDIA is simultaneously deepening its financial and supply relationship with Coherent to address the rising demand for optical networking.
Coherent said it broke ground on an expanded manufacturing facility in Sherman, Texas, betting that the growth of AI will increasingly depend on domestic optical supply chains, not just faster computer chips. The project is designed to scale output of the indium phosphide (InP) wafers and related laser and optics technologies used to carry data between racks and data centers at high speed.
The company, which makes semiconductor lasers, optical components and compound semiconductors, described the Sherman site as home to what it called the world’s first 6-inch indium phosphide fabrication line. The expansion is intended to increase production of the same type of InP wafers that Coherent says sit at the core of the optical “backbone” of modern AI infrastructure, where indicates must travel farther than copper traces can economically handle.
NVIDIA founder and CEO Jensen Huang attended the groundbreaking and spoke with Coherent CEO Jim Anderson. Huang framed AI as a general-purpose technology that affects industries beyond software, while Anderson positioned the manufacturing milestone as part of reindustrializing the United States. Officials including Sherman Mayor Shawn Temann and Texas Economic Development and Tourism executive director Adriana Cruz also delivered remarks.
The event coincided with new public funding support tied to the U.S. CHIPS Act, a federal effort to strengthen semiconductor manufacturing capacity in the country. Coherent said it is announcing a $50 million CHIPS Act grant to help finance the expanded Sherman facility. The company also pointed to roughly $17 million in earlier support from the Texas CHIPS program and the Sherman Economic Development Corporation.
The push for optical connectivity comes as AI systems scale in size and power. Coherent and NVIDIA used NVIDIA’s Vera Rubin Ultra NVL576 system as an example of how hundreds of GPUs can be linked into a single 576-GPU domain, a scale where copper interconnects become less practical. NVIDIA said in the data center, metal traces that work at shorter distances start to force more announcement-conditioning steps, increasing power draw and adding complexity.
According to the briefing at the groundbreaking, silicon photonics and optics become the more energy-efficient path once systems span multiple racks and longer physical distances. NVIDIA said optics involve a one-time power “penalty” when switching between electrical and light-based indicates, but that distance is then “nearly free,” making optical indicating a better fit for large AI deployments like NVL576. Coherent said its InP-based lasers are designed to support that model of optical interconnects.
Coherent and NVIDIA also highlighted their commercial relationship as an additional driver of capacity expansion. NVIDIA said it is investing $2 billion in Coherent to support research and development, future capacity and U.S.-based manufacturing, and it added that it has a multiyear strategic partnership that includes a multibillion-dollar purchase commitment for advanced laser and optical networking products. Coherent said the Sherman expansion reflects that demand for the “connective tissue” that lets AI systems scale, not just compute.
The manufacturing details matter because the company argues that scaling up output is partly a problem of wafer size and yield. Coherent and NVIDIA said silicon fabs typically use 12-inch wafers, while most global InP production remains on smaller 3- and 4-inch wafers, limiting yield and the number of components per run. Moving to 6-inch wafers, they said, increases usable area substantially, lowering cost and unlocking more volume for the optical networking demand tied to AI.
Not all specifics were laid out publicly. The companies did not provide a timeline for when expanded capacity will begin shipping at full rate, nor did they quantify expected changes in Coherent’s near-term revenue, gross margin, or customer qualification progress. The scope of the multiyear purchase commitment was described broadly as “multibillion-dollar,” without company-by-company breakdowns, and the article did not disclose additional terms tied to the CHIPS grant beyond the amount announced at the event.
Over the next several quarters, investors and customers will likely look for confirmation that the expanded InP line meets yield targets and that Coherent’s output scales in step with NVIDIA’s next-generation networking needs. Watch for updates on production ramp, customer acceptance of optical modules and lasers, and any expanded disclosures tying U.S. capacity additions to shipments of optical components used in NVIDIA switches and data center rack-to-rack connectivity. The broader question is whether optics can scale domestically fast enough to keep AI infrastructure from bottlenecking on connectivity as system sizes continue to grow.
Why It Matters
- Scaling AI is increasingly a systems problem, not just a chip-speed problem, and the ability to manufacture lasers and optical interconnects can limit how quickly AI networks expand.
- Domestically financed semiconductor manufacturing capacity supported by the CHIPS Act could reduce dependence on overseas InP supply and mitigate bottlenecks for optical networking components.
- NVIDIA’s increased funding and purchasing commitment to Coherent indicates that connectivity and optics are moving closer to the critical path for major AI deployments.
- The move to larger InP wafers, if yield and cost targets are met, could make optical interconnects easier to scale commercially for data center operators.
Sources
Key Facts
- Coherent broke ground on an expanded manufacturing building in Sherman, Texas, to scale optical backbone production for AI infrastructure.
- The company described Sherman as home to its 6-inch indium phosphide (InP) fabrication line, producing wafers used in high-speed optical interconnects.
- Coherent said it will announce a $50 million CHIPS Act grant for the expansion, building on about $17 million in earlier Texas CHIPS program and Sherman Economic Development Corporation support.
- NVIDIA CEO Jensen Huang and Coherent CEO Jim Anderson attended the event, with Texas economic development officials and the Sherman mayor also participating.
- NVIDIA cited the scaling challenge of large AI domains, arguing copper becomes power-inefficient across longer distances and optics provide a more efficient solution once systems span multiple racks.
- NVIDIA said it is investing $2 billion in Coherent for R&D, future capacity and U.S. manufacturing, and referenced a multiyear, multibillion-dollar purchase commitment for advanced laser and optical networking products.
Technology Related
Apple’s next CEO arrives with a different kind of power: money, and an AI test
A new leadership chapter at Apple, as reported by Yahoo Finance, raises a central question for investors and customers alike: will Apple use its unusual financial profile to change its AI direction, or simply defend its status quo?
ZonPrep buys inbound-inventory software and services, betting on Amazon logistics automation
The Amazon-focused supply chain and FBA prep company says it acquired Wizard-Industries and FNSKU Studio, tools aimed at helping sellers get inventory into Amazon faster and with fewer process steps.
Nvidia pauses part of its AI customer financing after a strong quarter, raising questions about timing
After delivering another heavy AI-related quarter, Nvidia indicated it is stepping back from a portion of its financing approach for customers. Market coverage framed the move as potentially awkward, given investor expectations tied to continued momentum in AI infrastructure spending.
Apple CEO transition hands AI test to John Ternus as AAPL slips
John Ternus takes over as Apple’s chief executive role as Phil Schiller steps back, with market attention focused on how leadership changes could affect ongoing work on artificial intelligence initiatives. Apple shares slid in early trading following the transition reports.
Anthropic reportedly signs $35 billion cloud deal involving Nvidia-backed Lambda and a Texas data-center lease
A Yahoo Finance report says Anthropic has agreed to a long-term cloud-computing arrangement worth $35 billion, with the infrastructure and data-center lease tied to Lambda, an Nvidia-backed provider.
FTC and 22 states sue Amazon, alleging it overcharged advertisers using its retail platform
The U.S. Federal Trade Commission and a coalition of state attorneys general accused Amazon of misleading businesses about pricing tied to advertising on its shopping marketplace, alleging the conduct resulted in billions in gains for the company.
Intel’s push toward on-prem, privacy-focused AI gets a partnership spotlight as Xeon 6 platform work expands
A new extension to Kasm Technologies’ deal work with Intel highlights a market trend toward running large language model workloads locally on enterprise hardware, aiming to reduce data exposure and reliance on GPUs.
Broadcom (AVGO) set to report earnings Wednesday after the bell, with investors focused on guidance and demand outlines
The fabless chip and software maker Broadcom will release its next quarterly results this Wednesday after market close, according to a preview posted by Yahoo Finance.
Apple’s John Ternus steps in as investors weigh a valuation-driven “nearly $5 trillion” challenge
A leadership handoff arrives after a sharp stock rally and with Apple trading at a high forward-earnings multiple, narrowing the margin for error, according to market commentary.
Salesforce shares jump 22% after results challenge AI skepticism, CNBC’s Jim Cramer says
Salesforce reported fiscal second-quarter 2027 results on Aug. 27, sending its stock up about 22.6% as investors reassessed worries that artificial intelligence would undercut demand for enterprise software. Jim Cramer, speaking in a market context reported by Yahoo Finance, argued those AI fears were overblown.