Explore how FS delivers a scalable 100/200G AI storage network optimised for RDMA-intensive workloads, enabling predictable latency, lossless performance, and efficient GPU utilisation at scale.
Discover the FS 400G data center interconnect solution. Overcome bandwidth bottlenecks with 400G Spine-Leaf architecture, EVPN-VXLAN, and smart automation.
Learn what Data Center Interconnect is, its key challenges, and why 400G Ethernet is becoming essential for scalable, high-performance data centers.
Explore how to choose the right NIC for AI clusters by comparing InfiniBand and Ethernet across 200G, 400G, and 800G networks. Learn about performance, latency, scalability, and FS AI NIC options for optimal GPU utilization and future-proof AI infrastructure
FS unveils D5110-based DCI solutions to simplify metro interconnects up to 120 km, accelerating deployment, reducing cabling, and scaling capacity.
Learn the differences between AI frontend and backend networks, including their roles, traffic patterns, and key architectural design considerations in modern data centers.
FS, a trusted provider of ICT solutions, has officially launched AmpCon v2.5.0, the latest version of its data center management platform. This release significantly enhances tenant management and deployment efficiency, helping enterprises accelerate deployment, simplify operations, and build resilient data center networks ready for the AI era.
Explore the FS 800G AI Ethernet Solution for large-scale NVIDIA B300 clusters. Built on a 51.2T RoCEv2 Ethernet fabric, it delivers lossless networking, 800G interconnects, scalable Spine-Leaf architecture, and simplified AI network operations.
Explore how AI factory networks are built with 800G Ethernet and NVIDIA ConnectX-8 SuperNIC. Learn how spine-leaf architectures enable scalable, low-latency GPU communication.
Scale your campus network with AmpCon-Campus. Use switch templates for automated network configuration and configuration templates for rapid network deployment.
Learn how to design high-performance AI networks with spine-leaf architecture and RoCE. See how advanced NICs improve GPU communication, reduce latency, and support scalable AI clusters.
Explore the key networking challenges in large-scale AI clusters and learn how scalable architectures, high-performance switches, and automation enable efficient AI infrastructure.
