Home » today » Business » Xscape is building multicolor lasers to connect chips within datacenters

Xscape is building multicolor lasers to connect chips within datacenters

Headline: Xscape Innovates AI Training with Breakthrough Silicon Photonics


New Interconnects Solution Boosts AI Training Efficiency

In an era dominated by AI, the speed and efficiency of data processing are paramount. Yet, traditional interconnects used in data centers face significant bandwidth limitations, hindering AI training to an average of just 25% GPU capacity. A pioneering solution may lie in the realm of silicon photonics, a technology championed by Vivek Raghunathan, CEO and co-founder of Xscape Photonics, a Santa Clara-based startup aiming to through innovative data transmission methods.

The Challenge of Traditional Interconnects

Interconnects, the channels through which various chips communicate, have historically relied on metal wires that transmit data via electrical signals. These conventional systems are power-hungry, generate excess heat, and are inherently constrained by the conductivity limits of metal. In addition, the conversion of electrical to optical data in fiber-optic-linked data centers introduces latency, further impeding performance.

In a 2022 survey, AI developers revealed the urgent need for improved bandwidth and efficiency, with only a fraction of GPU capacity being utilized effectively.

A Vision for the Future: Silicon Photonics

Raghunathan believes that higher bandwidth interconnects could revolutionize AI performance. “Xscape has created a platform that connects various computing elements in a sustainable way while offering the highest possible performance,” he noted during a conversation with TechCrunch. “The core of this platform’s scaling relies on energy-efficient, cost-effective systems that do not exist in the industry yet.”

Xscape’s journey began within a Columbia University lab, where professors Alexander Gaeta, Keren Bergman, and Michal Lipson pioneered techniques to transmit terabytes of data using light. The company was spun off in 2022, with Raghunathan and Yoshitomo Okawachi joining to lead the initiative, bringing deep industry experience from Broadcom and Intel.

Innovative Solutions for Data Transmission

Xscape’s groundbreaking product is a programmable laser designed to enhance interconnects in data centers, specifically for the links among GPUs, AI chips, and memory. Capable of using multiple wavelengths of light to transmit various data streams simultaneously, the laser minimizes interference, a common issue in tightly packed electrical systems.

“Electrical systems densely packed together tend to produce crosstalk, interference, and other challenges,” Raghunathan added. “Within the optical domain, data can be modulated on different colors, wavelengths, or channels and all co-propagate within the same wire or fiber without interfering with each other.”

Scalability and Future Prospects

While Xscape’s first-generation laser can emit between 4 and 16 colors, the company is already exploring improved versions that can produce up to 128 colors. This capability offers a competitive edge in the rapidly evolving silicon photonics market, where companies like Ayar Labs, Celestial AI, and Intel are also vying for dominance.

The potential of Xscape’s technology remains contingent on its ability to manufacture and sell at scale. However, the startup has secured a solid footing, forming partnerships with ten prospective customers from vendors to hyperscalers. Notably, Cisco and Nvidia’s venture arms recently invested $44 million in a Series A funding round, signaling strong industry confidence in Xscape’s vision.

“This reflects Cisco and Nvidia’s trust in the value we bring to this ecosystem,” Raghunathan remarked. The funding is aimed at expanding the platform and integrating it with simulation, high-performance computing, and AI software.

A Competitive Landscape

Despite its promising technology and backing from tech giants, Xscape faces significant competition. Intel has shipped over 8 billion photonics chips since 2016, showcasing its established presence in the market. The competition underlines the urgency for innovation and resilience in this rapidly evolving field.

As the demand for efficient AI training solutions grows, the advancements offered by Xscape could play a pivotal role in shaping the future of data centers. The implications for various industries could be profound, potentially leading to breakthroughs in efficiency and performance.

Join the Conversation

As technology enthusiasts and professionals witness the evolution of AI and data processing, your insights are invaluable. What do you think about the potential of silicon photonics in improving AI training? Share your thoughts and engage in the discussion in the comments below. For more updates on tech innovations, visit our homepage or check out our insightful articles on TechCrunch, The Verge, and Wired.


This article provides a deep dive into the intersection of AI and innovative technologies like silicon photonics. With our commitment to accurate information and industry insights, we invite you to stay connected as we explore the next chapters in technological advancements.

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.