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This solution is a highly scalable, FPGA-based RNIC designed to accelerate GPU-to-GPU communication in modern AI data centers. Leveraging RoCEv2, it delivers ultra-low latency and line-rate bandwidth, even in large multi-node deployments with thousands of concurrent Queue Pairs (QPs). While conventional RNICs often experience performance bottlenecks as QP counts increase, this architecture maintains optimal throughput and reliability for demanding workloads. Its programmable FPGA foundation allows for custom protocol optimizations and easy integration with existing commercial switches and major Linux distributions. Developers also benefit from comprehensive SDKs for rapid customization and deployment in heterogeneous, high-performance environments.
