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What Is a 400G Optical Transceiver?>
By C-LIGHT Marketing 丨
400G optical transceivers, including QSFP-DD, QSFP112, and OSFP form factors, common SR8, DR4, FR4, LR4, and 400ZR solutions, fiber types, reach, power, and data center applications.
What Is a 100G Optical Transceiver?>
By C-LIGHT Marketing 丨
100G optical transceiver converts 100Gb/s electrical and optical signals for high-speed networking. Learn about QSFP28, SR4, PSM4, CWDM4, LR4, DR, FR1, LR1, fiber types, wavelengths, reach, and applications.
How AI Workloads Are Reshaping Data Center Network Architecture>
By C-LIGHT Marketing 丨
AI workloads are transforming data center networks through massive east-west traffic, higher bandwidth, RDMA fabrics, multi-plane topologies, 800G and 1.6T interconnects, advanced congestion control, and tighter integration between networking and compute.
Why 1.6T Optical Transceivers Are Emerging in AI Data Centers>
By C-LIGHT Marketing 丨
1.6T optical transceivers are emerging as AI data centers demand higher bandwidth density, lower power per bit, and scalable optical connectivity for next-generation GPU networks, with 400G-per-lane PAM4, advanced DSP, and silicon photonics accelerating the transition.
Why 400G per Lane Matters for 1.6T Optical Modules>
By C-LIGHT Marketing 丨
400G per lane is a key step for 1.6T optical modules, reducing lane count while improving bandwidth density, power efficiency, signal integration, and scalability for next-generation AI data center networks.
What Is an Optical DSP?>
By C-LIGHT Marketing 丨
An optical DSP processes high-speed electrical and optical signals in modern optical transceivers. This article explains what an optical DSP is, how it works, its functions, power consumption, latency, FEC, PAM4, 400G, 800G and 1.6T applications.
What Is AI Scale-Out Networking?>
By C-LIGHT Marketing 丨
AI scale-out networking connects large numbers of GPU servers across racks so they can operate as a distributed computing system.
What Is AI Scale-Up Networking?>
By C-LIGHT Marketing 丨
AI scale-up networking connects GPUs and accelerators within a tightly coupled computing domain using high-bandwidth, low-latency interconnects.

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