Salience Labs Raises $125M in Series B
The oversubscribed round, led by Bullhound Capital, will fund scaling of optical circuit switching for AI data centers.
Updated on Nov. 2, 2026 in Data Centers
Salience Labs has completed a $125 million Series B funding round led by Bullhound Capital. The round was oversubscribed and includes investors AMD Ventures, Intel Capital, SBI Group, Hudson River Trading, and British Business Bank.
Why it matters
The funding supports the company's silicon photonics technology for connecting thousands of GPUs in AI data centers, a segment facing rising demand for high-speed interconnects. The company plans to accelerate deployment and scale volume manufacturing.
The Series B round totaled $125 million, with participation from AMD Ventures, Intel Capital, SBI Group, Hudson River Trading, and British Business Bank. No valuation or prior funding totals were disclosed, and the timeline for manufacturing scale-up remains unspecified.
The players
Salience Labs
A United Kingdom-headquartered company developing silicon photonics and optical circuit switching technology for AI data center connectivity, planning expansion into Silicon Valley.
Bullhound Capital
A European investment firm that led the Series B round for Salience Labs.
Callum Stewart
An executive who joined the Salience Labs Board of Directors as part of the financing.
The details
Salience Labs' switch architecture is an all-optical, fully integrated design intended to connect thousands of GPUs across multiple racks. Existing shareholders Applied Ventures LLC, Oxford Science Enterprises, Cambridge Innovation Capital, and Silicon Catalyst Ventures continued their support in the round.
Timeline
- November 2, 2026: Series B funding round announced
The Tech Race
The funding positions Salience Labs within the broader shift from electrical to optical switching in AI data center networks, where chipmakers such as AMD and Intel are now investing directly. The round signals that optical circuit switching is moving from research toward commercial deployment in hyperscale infrastructure.
Faster, more efficient interconnects inside AI data centers could eventually affect the speed and cost of cloud services that users rely on daily. Commercial availability and pricing for end users remain undisclosed.
The takeaway
Optical interconnects are becoming a serious contender for connecting large GPU clusters, so readers tracking AI infrastructure costs and performance should watch for commercial deployments. Progress will show whether the technology scales beyond early adopters.
Further reading
Explore more on Data Centers to see how optical switching fits into the infrastructure powering AI workloads.
