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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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Why Altera FPGAs

Built for Change

Rapidly adapt to evolving protocols (NVMe‑oF, RDMA), security requirements, and storage workloads—without hardware redesign. FPGA reconfigurability enables continuous innovation in dynamic data center environments.

Deterministic Low Latency at Scale

Deliver predictable, ultra-low latency and high throughput through deeply pipelined architectures. Maintain consistent performance under heavy load for AI, analytics, and high-performance storage workloads.

Proven in Cloud and Data Center Deployments

Widely deployed in hyperscale environments to accelerate SmartNICs, DPUs, and storage infrastructure. Enables performance and flexibility beyond CPU-based solutions while complementing ASIC efficiency. 

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Data Services Storage Acceleration: Eideticom Compression Offload

Agilex™ 7

Agilex™ 5

Modern Storage Architectures

Front-End Fabric Acceleration 

FPGA acceleration offloads storage networking functions such as NVMe oF (TCP/RDMA), queue management, checksum, and packet processing. This enables deterministic line-rate performance while freeing host CPUs for application workloads. 

Inline Data Services & Computational Storage 

FPGA-based pipelines execute latency-sensitive operations—compression, encryption, hashing, erasure coding, metadata processing, and data reduction—directly in the I/O path. This reduces CPU load and improves efficiency for AI and data analytics workloads. 

Backend Storage Processing & Array Offload 

FPGAs accelerate backend services such as RAID, replication, journaling, block mapping, and SSD management. This delivers higher sustained throughput, consistent tail latency, and scalable performance for all-flash and disaggregated storage architectures.