NEW CASTLE, DE — FS expanded its optical networking portfolio with 400G, 800G, and 1.6T transceivers and new management tools, targeting the rising bandwidth demands of GPU clusters and distributed artificial intelligence infrastructure.
The portfolio spans two primary network architectures: Scale-Out connections inside AI clusters and Scale-Across links between separate data centers and facilities.
For Scale-Out deployments, FS is offering 400G, 800G and 1.6T optical transceivers and other high-speed interconnect products designed to connect GPU servers, network interface cards, switches and racks across multi-rack clusters.
The products support Ethernet, Remote Direct Memory Access over Converged Ethernet, or RoCE, and InfiniBand networks. FS said the range of data rates and form factors is intended to accommodate different equipment platforms and deployment configurations.
The company’s Scale-Across portfolio extends those connections between facilities through 400G and 800G coherent optical transceivers in OSFP and QSFP-DD form factors.
Those products are designed for data center interconnect and geographically distributed AI infrastructure, with transmission distances of as much as 500 kilometers depending on network configuration and optical line conditions.
The expansion reflects the networking requirements created as AI computing moves beyond individual servers and racks toward larger GPU clusters and workloads distributed across multiple data centers.
FS is also introducing the FS BOX 5 Ultra, a portable tool for configuring and managing optical transceivers with data rates ranging from 100 megabits per second to 1.6 terabits per second.
The device supports OSFP, QSFP-DD, QSFP112, SFP-DD and SFP form factors and can perform transceiver configuration, compatibility validation, module-information reading and digital diagnostic monitoring.
It also supports batch management and wavelength tuning for applicable tunable dense wavelength-division multiplexing modules.
FS is positioning the combined hardware and management portfolio to cover the optical-network lifecycle from high-speed GPU interconnects within AI clusters to longer-distance links between data centers, as operators scale computing capacity across increasingly distributed infrastructure.
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