Quanta Computer told investors at its August 13 earnings call that customer AI product roadmaps and order visibility now extend into 2028, prompting the company to accelerate capacity expansion and raise its full-year 2026 capital expenditure target to NT$40 billion (US$1.28 billion) from NT$30 billion. Quanta expects its overall margin for 2026 to hold steady at first-half levels.
Oracle and quantum computing leader Quantinuum have entered a multi-year strategic partnership to bring Quantinuum's next-generation quantum computer, Helios, directly into Oracle Cloud Infrastructure (OCI). The collaboration aims to create a unified computing ecosystem where enterprise customers, AI research labs, and scientific institutions can access quantum processing units (QPUs) alongside existing GPU clusters and high-performance computing (HPC) hardware.
Qisda Chairman Peter Chen said infrastructure is the foundation that must first be built as AI compute demand surges. He said Qisda will not be absent from the fast-growing race, as the company steps up work on AI servers, data centers, 1.6T switches, and silicon photonics (SiPh).
ChipMOS said strong demand for automotive panels and memory products drove revenue and profit to record highs in the second quarter of 2026. Chairman Shih-Jye Cheng said the company will raise capital expenditure (capex) for two consecutive years, in 2026 and 2027, to support memory, advanced logic, and new product demand. The company plans to boost capex to more than 25% of revenue as it begins a new expansion cycle.
Global AI computing is rapidly moving beyond single-GPU systems toward AI Factory architectures, where agentic AI and inference workloads are pushing data centers to rely on networking, optics, packaging, cooling, power delivery and software co-design rather than raw accelerator counts. In a DIGITIMES interview, Nvidia Senior Vice President of Networking Gilad Shainer said the real unit of computing is now the entire data center, not an individual server.
