News & Resources

Salience Labs Launches Industry’s Highest Performing 32-Port All-Optical Silicon Photonic Switch to Transform the Networking Layer of AI Datacenter Infrastructure

News

March 10, 2026

Salience Labs Launches Industry’s Highest Performing 32-Port All-Optical Silicon Photonic Switch to Transform the Networking Layer of AI Datacenter Infrastructure

Salience Labs and Tower Semiconductor Partner to Manufacture At-Scale Optical Circuit Switches for Next-Generation Data Centers

News

February 25, 2026

Salience Labs and Tower Semiconductor Partner to Manufacture At-Scale Optical Circuit Switches for Next-Generation Data Centers

Salience Labs innovative architecture leverages Tower’s differentiated Silicon Photonics platforms to deliver ultra-low latency, high-bandwidth and lower-power optical connectivity for AI clusters Read More

Salience Labs goes all-in on all-optical networking with photonics switches for AI infrastructure

News

February 9, 2026

Salience Labs goes all-in on all-optical networking with photonics switches for AI infrastructure

Oxfordshire-headquartered Salience Labs is hoping to tap into a market that some analysts say could represent as much of a leap in computing power as the emerging field of quantum itself does. Read More

Photonics and high-speed data movement is the next big AI bottleneck — following copper, power, DRAM, and NAND

News

February 3, 2026

Photonics and high-speed data movement is the next big AI bottleneck — following copper, power, DRAM, and NAND

Voracious demand from the generative AI revolution has already chewed up power grids, copper supplies, and data centers

Salience Labs Closed Series A Round Led by Applied Ventures and ICM HPQC Fund

News

February 7, 2025

Salience Labs Closed Series A Round Led by Applied Ventures and ICM HPQC Fund

Oxford based Salience Labs has secured $30 million in Series A funding led by Applied Ventures and ICM HPQC Fund to accelerate development of its silicon photonics switches for AI datacentre connectivity. Read More