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Accelerating Cloud Storage with FPGA-Based NVMe over TCP

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Boosting Performance & Efficiency in Modern Cloud Infrastructure

Cloud computing is evolving rapidly, and high-speed, low-latency storage access is becoming critical for businesses handling massive data workloads. Traditional cloud storage solutions relying on CPUs face bottlenecks, power inefficiencies, and scalability challenges.

What if there was a way to offload storage processing from the CPU, reduce latency, and enhance data transfer efficiency? - Enter FPGA-based NVMe/TCP offload technology—a game-changer in cloud storage performance.

The Challenge: CPU Bottlenecks in Cloud Storage

Most cloud infrastructures use Network Interface Cards (NICs) to handle NVMe/TCP connections. However, traditional CPU-based processing comes with drawbacks:

CPU-Based vs FPGA-Based NVMe/TCP Processing

Feature	Traditional CPU-Based NVMe/TCP	FPGA-Based NVMe/TCP Offload
CPU Utilization	High - CPUs handle all NVMe/TCP tasks, causing slowdowns.	Low - FPGA offloads processing, freeing CPU resources.
Power Efficiency	High power consumption due to CPU workload.	Lower power consumption with optimized FPGA logic.
Latency & Performance	Higher due to sequential processing.	Lower with parallelized NVMe/TCP operations.
Networking Overhead	CPU processes TCP in software, adding delay.	Hardware offload eliminates software overhead.
Scalability & Cost	Limited by CPU capabilities, increasing costs.	Scalable and cost-efficient for cloud infrastructure.

The Solution: FPGA-Based NVMe/TCP Offload Engine

To overcome these challenges, Design Gateway and DYNANIC have developed an FPGA-based NVMe/TCP offload engine, delivering ultra-low latency, reduced CPU workload, and superior power efficiency.