Acacia Communications Inc.

Acacia Shares Strategies for Scale-Out and Scale-Across Architectures at ECOC 2026 Acacia is introducing a new 800ZR module with Media Access Control Security (MACsec) and full interoperability that enables hyperscalers and neocloud network operators to s

High-capacity data center interconnect (DCI) applications have driven a tremendous increase in coherent optical technology usage over previous generations. The introduction of 400G coherent pluggables for hyperscale applications began a shift of these DCI

The success of coherent pluggables has been truly phenomenal, expanding from its original target use case of DCI and into shorter reach campus and access applications as well as long-haul and even subsea. As the graph from LightCounting illustrates, coher

At OFC last month there was a lot of discussion about the three architectural strategies for expanding system capacity: scale up, scale out, and scale across. Scale up refers to scaling within a rack, while scale out extends outside of the rack and throug

Acacia's VP of Marketing, Tom Williams, shares what

By Eugene Park, Acacia & Jonathan Homa, Ribbon Posted on March 13, 2026 Maximizing Capacity Over Speed While the race to expand networking infrastructure to support AI applications continues on land, the same expansion is occurring undersea. Subsea cables

Expands Coherent Pluggable Portfolio with New Bright QSFP28 100ZR Module After nearly two decades of delivering innovation and industry-first coherent technology to the optical networking industry, Acacia is proud to head to this year's OFC as the market

With AI driving unprecedented demands on networking infrastructure, optical interconnect components such as PAM4 DSPs have become critical for delivering the intra-data center bandwidth needed for operators to quickly scale-out their networks with reliabl

Our previous blogs explored how optical interconnects are enabling the AI networking infrastructure to scale, both from the training as well as the inference perspective. As these blogs highlighted, training models are expected to outgrow a single physica