As cloud computing continues to evolve rapidly, the need for high-speed, low-latency storage access has become essential for enterprises handling massive volumes of data. Traditional CPU-based cloud storage solutions often face challenges such as bottlenecks, reduced power efficiency, and limited scalability, which can hinder overall system performance. By offloading NVMe/TCP processing to an FPGA-based engine, these limitations can be overcome. The FPGA architecture significantly reduces CPU load, minimizes latency, and enhances data transfer efficiency, resulting in a dramatic improvement in cloud storage performance. While many cloud infrastructures rely on standard Network Interface Cards (NICs) to handle NVMe/TCP connections, CPU-based processing introduces inherent inefficiencies. An FPGA-based NVMe/TCP offload engine eliminates these bottlenecks, delivering a more scalable, power-efficient, and high-performance storage solution for modern data centers.
DesignGateway Co., Ltd.
Key Features
- CPU-less NVMe/TCP initiator IP core enabling remote NVMe storage access directly from FPGA
- 128-bit Avalon-MM bus for data interface
- Configurable 4KB command depth: Up to 128
- High-performance 4KB data transfer: Up to 2500 MB/s write access, 2600 MB/s read access
- Easy integration for rapid development and focus on core application logic
- Scalable storage architecture—performance and capacity can grow with the server, not the FPGA
- Complete hardware platform: DYNANIC DMA driver & hardware engine, supporting virtualized environments
Offering Brief
Offering Brief
| Device Family | Agilex® 7 FPGA F-Series |
|---|---|
| Offering Status | Production |
| Design Examples Available | Yes |
| Demo | Yes |
| Latest Quartus Version Supported | 23.1.0 |
| Development Language | Encrypted VHDL |
Encrypted IP core
Reference Designs Quartus Project
Ordering Information
XpressDrive3-T25G-IP-A7F
from Direct
XpressDrive3-T25G-IP-A7F
from Macnica
XpressDrive3-T25G-IP-A7F
from Uniquest
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