TL;DR
Point2 raised $136M Series B led by LB Investment with Arm, Maverick Silicon. Backers include Nvidia, Bosch, Molex. e-Tube RF cables: 10x copper reach, 3x lower optics power, 1,000x lower latency. For rack-scale AI compute interconnect.
The e-Tube platform transmits data over plastic waveguides using RF signaling. It delivers 10x the reach of copper at comparable cost, 3x lower power than optics, and 1,000x lower latency without failing lasers. Arm, Nvidia, Bosch Ventures, and Molex are investors.
Point2 raised $136M Series B led by LB Investment with Arm, Maverick Silicon. Backers include Nvidia, Bosch, Molex. e-Tube RF cables: 10x copper reach, 3x lower optics power, 1,000x lower latency. For rack-scale AI compute interconnect.
Point2 Technology has raised $136 million in total Series B financing to commercialise a new type of cable that could replace both copper and optics inside AI data centres. The latest extension was led by LB Investment, with new strategic participation from Arm and continued support from Maverick Silicon. The investor roster now includes Nvidia, Arm, UMC Capital, Molex, and Bosch Ventures. When the companies building AI chips, chip architectures, connectors, and automotive sensors all invest in the same cable startup, the signal is that wiring has become the bottleneck.
Point2’s e-Tube platform uses RF signaling over plastic waveguides instead of copper wire or optical fibre. The numbers are stark: 10x the reach of copper at comparable cost, 5x lower weight, and 2x less cable volume. Against optics, it claims 3x lower power, 3x lower cost, and 1,000x lower latency without the reliability problems of failing lasers. Lumilens raised $700 million for optical interconnects earlier this month, betting that light is the answer. Point2 is betting that RF can do the same job cheaper, cooler, and faster at rack scale.
“As AI systems scale and bandwidth demands reach terabit-per-second speeds, interconnect has become the defining bottleneck,” CEO Sean Park said. Arm’s SVP of strategic ventures, Paul Williamson, framed the investment around the full stack: “The next generation of AI infrastructure will rely on advances across the entire technology stack, from compute to memory and interconnect.” The funding will accelerate commercialisation of Point2’s Active RF Cable, near-packaged e-Tube, and co-packaged e-Tube solutions for rack-scale compute systems.
The AI data centre buildout has consumed hundreds of billions of dollars in chips, power, and cooling. The power crunch is sending data centre builders to the banks, and every watt saved on interconnect is a watt that can go to compute. Point2’s pitch is that the industry is spending on faster chips while the cables between them have not kept up. Whether RF over plastic waveguides can scale to the volumes that hyperscalers need is the execution question. The investor list suggests the industry thinks it can.
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