UPDATED 16:37 EDT / OCTOBER 08 2025

Steve Klinger, VP of product at Lightmatter, discusses the rise of photonics computing with theCUBE at AI Factories 2025. AI

Inside the rise of photonic computing powering next-gen AI workloads

Artificial intelligence is spurring a revolution in data centers, and photonics are a part of it.

Silicon photonics is a high-bandwidth alternative to traditional electronic chips. Lightmatter Inc., one of the leaders in this burgeoning space, aims to transform data centers and support the growing AI economy.

Steve Klinger, VP of product at Lightmatter, discusses the rise of photonics computing with theCUBE at AI Factories 2025.

Lightmatter’s Steve Klinger talks to theCUBE about photonic computing is powering AI workloads.

“What we’re focused on is unlocking the interconnect bottlenecks in data centers,” said Steve Klinger (pictured), vice president of product at Lightmatter. “Lightmatter is really utilizing silicon photonics to provide much higher bandwidth and also enable much higher connectivity … using light to transmit the data to connect much larger numbers of compute units together … to continue the AI performance scaling.”

Klinger spoke with theCUBE’s John Furrier at theCUBE + NYSE Wired: AI Factories – Data Centers of the Future event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how photonic computing powers AI workloads.

Photonics computing lights up the AI space

AI applications require high-performance computing loads, and silicon photonics have the potential to provide much faster connectivity. While electronic chips aren’t entirely going away, Lightmatter’s Passage optics product could significantly reduce the latency between racks.

“If you look at how most AI data center racks are built today,” Klinger said. “You have copper based connectivity within the racks. Once you go beyond the number of compute units that fit inside the rack, then you’re going to pluggable optics. The trouble is the amount of bandwidth you have there is much lower. So, you’ve created a choke point.”

Lightmatter’s solution is to bring the optics directly to all the chips, transcending the space constraints of a normal rack. This could be a game changer for the GPUs and XPUs that support AI workloads. Lightmatter has also developed technology for protecting the photonic chips in different environments, Klinger explained.

“A lot of the technology that we’ve developed inside of Lightmatter is aimed at not only … implementing the core functionality, but making sure that it’s fully stable, across temperature variations, across other physical disturbances that might occur in the data center,” he added.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of theCUBE + NYSE Wired: AI Factories – Data Centers of the Future event:

Photo: SiliconANGLE

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