Eridu designs custom network switches built from silicon up for AI cluster workloads. The stack—Verilog, VHDL, Synopsys, Cadence, ASIC, SystemVerilog, and networking protocols (Ethernet, BGP, TCP/IP, VXLAN)—reflects a hardware engineering org focused on post-silicon validation and ASIC development. Pain points (communication bottlenecks limiting AI performance, GPU underutilization, power and capex reduction) and active projects (high-speed ASIC, packet buffering, SoC design, advanced IC packaging) show Eridu is attacking the constraint that interconnect, not compute, is throttling AI cluster throughput.
Eridu manufactures custom networking silicon optimized for scale-out and scale-up AI data centers. The company was founded in 2024 and is headquartered in Saratoga, California. The product is a network switch designed to address performance, radix, and throughput bottlenecks in AI clusters. The engineering footprint is concentrated on ASIC design, verification, system-level thermal and packaging architecture, and post-silicon validation—typical of a hardware startup scaling from tape-out toward production. The company operates across the United States and India.
Verilog, VHDL, Synopsys, Cadence, FPGA, ASIC, SystemVerilog, Ethernet, BGP, TCP/IP, VXLAN, PCIe, SERDES, and Linux. Stack emphasizes hardware design, EDA, and networking protocols.
High-speed networking ASIC development, packet buffering and scheduling, next-generation SoCs, thermal architecture, Ethernet protocol support, and advanced IC packaging and flip-chip integration for data center switches.
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