Point2 Technology has raised an additional round of Series B funding led by LB Investment, with strategic participation from Arm Holdings plc (NASDAQ: ARM) and continued backing from Maverick Silicon, bringing the company’s total Series B financing to $136 million.
The latest investment comes as AI data centres face growing pressure to move increasingly large volumes of data between compute, memory and other components. Point2 is developing radio-frequency (RF)-based interconnect technologies aimed at addressing bandwidth, power and scaling requirements in rack-scale AI systems.
The funding adds to a group of strategic and financial investors that includes NVIDIA Corp. (NASDAQ: NVDA), Arm, UMC Capital, Molex, Bosch Ventures and other existing and new backers. The investor base spans chipmakers, semiconductor companies, component suppliers and venture investors, reflecting growing interest in interconnect technologies as AI computing infrastructure scales.
Point2 said it will use the new capital to expand its engineering, systems, operations and commercial teams and accelerate the development and commercialisation of its e-Tube Technology Platform. The platform includes Active RF Cable (ARC), near-packaged e-Tube (NPE) and co-packaged e-Tube (CPE) solutions designed for future rack-scale computing systems.
The company is positioning e-Tube as an interconnect architecture for AI infrastructure where conventional approaches face increasing challenges as bandwidth requirements rise. AI accelerator clusters require high-speed connections across increasingly dense systems, making the interconnect layer an important consideration alongside compute and memory performance.
“As AI systems scale and bandwidth demands reach terabit-per-second speeds, interconnect has become the defining bottleneck,” said Sean Park, co-founder and CEO of Point2 Technology.
Arm’s investment brings a processor and platform technology company into Point2’s investor base. Paul Williamson, Arm’s senior vice-president of Strategic Ventures, said the next generation of AI infrastructure would require advances across compute, memory and interconnect.
LB Investment, which led the latest extension, said the company’s technology could help address the infrastructure requirements of larger and more power-efficient AI compute clusters.
Maverick Silicon, an existing investor, also participated in the financing. Josh Miner, principal at Maverick Silicon, said the firm’s continued investment reflects confidence in Point2’s RF-based approach and its potential to address performance, efficiency and cost requirements for hyperscalers and accelerator vendors.
Point2’s latest financing highlights the increasing investment flowing into the infrastructure surrounding AI compute. As accelerator deployments expand and rack-scale systems become more complex, companies developing technologies for data movement are seeking to establish alternatives and complementary approaches to conventional interconnect architectures.
The company said the new funding will support its transition towards broader commercialisation as AI infrastructure providers and accelerator vendors prepare for the next generation of high-bandwidth computing systems.
