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Storage

FPGA Acceleration for Scalable, High-Performance Storage

Modern data centers are challenged by rapid data growth, AI-driven workloads, and increasing CPU overhead for storage processing. Traditional architectures struggle with NVMe oF protocol handling, inline data services, and maintaining consistent tail latency. FPGA-based storage acceleration addresses these challenges by offloading critical data services - such as protocol processing, compression, encryption, and metadata operations - into deterministic, line-rate hardware pipelines. This enables predictable low latency, higher throughput-per-watt, and a scalable architecture optimized for AI, analytics, and cloud workloads.

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