Point2 Technology has extended its Series B financing round, taking total capital raised to $76 million to advance its RF-based interconnect platform for AI data centers. The round was led by Maverick Silicon, with participation from NVentures and UMC Capital, underscoring intensifying investor focus on next-generation connectivity layers underpinning large-scale AI systems.
The funding targets a critical constraint emerging across hyperscale infrastructure: interconnect performance now lags compute acceleration. As GPU clusters expand and model architectures scale, data movement, not processing, defines system efficiency. Point2’s strategy positions RF signaling as a structural alternative to both copper and optical paradigms.
The company will deploy the new capital toward commercialization of its Active RF Cable platform and continued development of its e-Tube solutions, including near-package and co-packaged configurations. These architectures aim to support rack-scale compute environments where bandwidth density and latency sensitivity dictate system design. Point2 is also expanding engineering and systems teams to prepare for broader deployment.
Interconnect Bottlenecks Reshape AI Infrastructure Priorities
As AI clusters grow in size and complexity, interconnect infrastructure increasingly determines system performance ceilings. Traditional copper links face physical limitations at higher data rates, particularly across extended distances. Optical solutions address some constraints but introduce trade-offs in power consumption, cost, and integration complexity.
Point2’s e-Tube platform introduces RF signaling over plastic waveguides, enabling a different performance envelope. The architecture delivers extended reach beyond copper, while avoiding the energy overhead associated with optical transceivers. It also reduces latency by eliminating reliance on laser-based transmission systems.
However, the shift toward RF-based interconnects reflects more than incremental optimization. It signals a broader rethinking of how data center systems scale, particularly as accelerator-to-accelerator communication becomes the dominant traffic pattern in AI workloads.
e-Tube Platform Targets Efficiency, Density, and Latency
The e-Tube platform supports multiple deployment formats, including pluggable cables, near-package modules, and co-packaged solutions. This flexibility allows integration across different layers of AI infrastructure, from board-level connections to full rack-scale systems.
Performance gains emerge across several vectors. The platform improves bandwidth density while reducing energy consumption compared to optical approaches. It also lowers system cost by simplifying alignment and eliminating expensive optical components. Ultra-low latency remains a defining feature, particularly for tightly coupled AI training environments.
Moreover, the architecture aligns with evolving design priorities in hyperscale systems, where minimizing power overhead and maximizing throughput per watt directly impact total cost of ownership.
Strategic Backing Reflects Ecosystem Alignment
The investment reflects growing alignment across semiconductor, infrastructure, and capital ecosystems around the need for new interconnect solutions. Hyperscalers and chipmakers increasingly prioritize data movement efficiency as AI deployments scale beyond traditional architectures.
Point2’s recognition as a BloombergNEF Pioneers winner further highlights its positioning within the broader push toward scalable and sustainable infrastructure technologies.
“We are honored to welcome Maverick Silicon as the lead investor in this round, and deeply appreciate the support from NVentures and UMC Capital. As AI systems scale, interconnect is increasingly the limiting factor. Our e-Tube platform takes a fundamentally different approach, using RF techniques to deliver the reach, efficiency, and latency required for next-generation scale-up architectures. This investment reflects the growing ecosystem support around that vision”, said Sean Park, Chief Executive Officer and Co-Founder, Point2 Technology
“Point2’s RF-based interconnect addresses critical limitations in scaling next-generation AI infrastructure. We’re excited to support the Point2 team as they move toward commercialization and broad deployment.” said Andrew Homan, Managing Partner, Maverick Silicon
“Point2 has an elegant approach not only for higher bandwidth density but also for simplifying the cable alignment, allowing new possibilities in data center system design. We are pleased to support the company as it advances toward commercialization and broader ecosystem adoption.” said Kris Peng, President, UMC Capital
Compute Forecast: Interconnect Becomes the New Scaling Frontier
The funding round positions Point2 within a critical inflection point in AI infrastructure evolution. Compute performance continues to scale aggressively, yet interconnect limitations increasingly constrain realized system gains. This imbalance shifts strategic focus toward data movement technologies as the next frontier.
Point2’s RF interconnect platform offers a differentiated path, combining energy efficiency, cost advantages, and architectural flexibility. As AI systems transition toward more distributed and tightly coupled designs, such alternatives may redefine how infrastructure scales.
In this context, interconnect innovation no longer sits at the periphery of system design. It defines the trajectory of next-generation compute.
