Palomino broadens AI interconnect roadmap through acquisition

Palomino has completed its acquisition of interconnect specialist Vega Links. The combined organisation is developing copper, MicroVCSEL, and MicroLED chipsets for connections spanning short-reach artificial-intelligence computing infrastructure.


IN Brief:

  • Vega Links adds silicon design, systems architecture, product engineering, and high-speed memory and AI-connectivity expertise.
  • Palomino plans copper, MicroVCSEL, and MicroLED chipset programmes covering interconnect distances from zero to 50 metres.
  • Product specifications, qualification data, independent performance results, and volume-production dates have not been disclosed.

Palomino Laboratories has completed its acquisition of Vega Links, combining gallium-nitride MicroLED development with silicon design, systems architecture, and product engineering for short-reach artificial-intelligence interconnects.

The transaction closed after the companies executed definitive agreements and satisfied the stated closing conditions. Palomino has not disclosed the purchase price or detailed financial information for Vega Links, leaving the immediate engineering significance in the expanded technical organisation and proposed product scope.

Vega Links was established around high-speed artificial-intelligence and memory connectivity. Its team adds experience in silicon architecture, systems design, and product development to Palomino’s existing work on gallium-nitride MicroLED emitters and associated interconnect technology.

The combined company plans chipsets spanning short-reach copper connections, MicroVCSEL optical links, and MicroLED-based communications over distances from zero to 50 metres. That range covers connections within accelerator trays, racks, and neighbouring computing equipment rather than long-haul optical networking.

Copper remains effective over the shortest distances, where it benefits from established connectors, manufacturing processes, and electrical interfaces. As data rate and reach increase, however, insertion loss, equalisation, signal integrity, power consumption, and thermal load make electrical links progressively harder to scale.

Optical technologies can move high-bandwidth data with lower loss over longer reaches, but they introduce their own constraints. Emitters, detectors, drivers, optical coupling, packaging, alignment, thermal control, test, and assembly yield must all fit inside a commercially manufacturable link.

Palomino’s stated roadmap is therefore heterogeneous rather than an attempt to replace every copper connection with one optical technology. Its intended product groups include silicon chipsets for faster copper links, silicon optical integrated circuits for MicroVCSEL systems, and silicon and gallium-nitride devices for MicroLED interconnects.

The acquisition brings leadership changes alongside the technology portfolio. Vega Links co-founder Karthik Gopalakrishnan has become Palomino’s chief technology officer, while Rajesh Radhamohan has been appointed chief product officer. Semiconductor and computing executives Sudeep Bhoja and Gopal Raghavan have joined the company’s strategic advisory board.

The appointments add experience in networking silicon, pulse-amplitude-modulation processing, silicon photonics, semiconductor architecture, embedded computing, and product commercialisation. That background is relevant because an interconnect company must do more than demonstrate a fast emitter or promising laboratory link.

Customers will expect defined electrical and optical interfaces, package formats, reach, power consumption, bit-error performance, thermal limits, evaluation hardware, firmware support, reliability data, compliance testing, and a credible route from engineering samples to repeatable volume supply.

Palomino says the acquisition will accelerate development of chipsets offering higher bandwidth, lower latency, improved power efficiency, and greater cluster scalability. Those are product objectives rather than independently demonstrated results, and the company has not published comparative data against established copper, active-electrical-cable, or optical-interconnect platforms.

MicroLED links remain technically interesting because gallium nitride can support small, fast optical emitters and dense arrays. Commercial performance will depend on emitter efficiency, lifetime, uniformity, driver integration, receiver architecture, coupling, packaging yield, and the cost of manufacturing complete links.

The company has previously reported shipment of first-generation MicroLED light-engine prototypes to an initial hyperscale customer. Prototype delivery establishes customer evaluation activity, but it remains well short of a qualified production chipset for data-centre infrastructure.

Artificial-intelligence systems impose particularly demanding qualification requirements. Interconnect faults can disable expensive compute resources, while power and thermal overhead accumulate across thousands of links. Operators also need serviceability, interoperability, diagnostic support, and confidence that components will remain available across a platform’s deployment life.

Palomino estimates that the acquisition expands its addressable market substantially, but that figure is promotional and does not establish achievable revenue or customer adoption. More useful evidence will be published product specifications, engineering samples, qualification results, customer evaluations, and manufacturing partnerships.

Completing the Vega Links acquisition gives Palomino a broader systems-level proposition and a larger engineering organisation. Its next task is less theatrical: convert copper, MicroVCSEL, and MicroLED ambitions into defined products that can be tested, manufactured, and supported at the scale expected by artificial-intelligence infrastructure customers.


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    Palomino has completed its acquisition of interconnect specialist Vega Links. The combined organisation is developing copper, MicroVCSEL, and MicroLED chipsets for connections spanning short-reach artificial-intelligence computing infrastructure.