HPE BD-ACD-10AX1152H Intel Arria Fpga Accelerator Card.
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HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Overview
Main Product Information
- Manufacturer: HPE
- Part Number (SKU): BD-ACD-10AX1152H
- Category: Network Devices
- Product Type: Expansion Module
System Features and Specifications
Form Factor and Memory
- Form Factor: Single-slot, ½ Height, ½ Length
- On-board Memory: 8GB DDR4 with Error-Correcting Code (ECC)
- On-chip Memory: 53MB
- Logic Elements: 1,150K
Interface and Connectivity
- Interface: 1x QSFP+ (Quad Small Form Factor Pluggable Plus)
- Supported Ethernet Speeds: 10GbE and 40GbE
PCIe Configuration
- PCIe: Gen3 x8 Electrical, x16 Mechanical for Enhanced Stability
Compatible HPE Servers
- HPE ProLiant DL360 Gen10: Supports 1st and 2nd Gen Intel Xeon Scalable Processors with RHEL 7.4
- HPE ProLiant DL380 Gen10: Supports 1st and 2nd Gen Intel Xeon Scalable Processors with RHEL 7.6
Product Benefits and Usage
High-Performance Data Acceleration
- Engineered for optimal data throughput and acceleration across diverse workloads.
- Ideal for intensive applications requiring powerful processing and speed.
Flexible Support for Networking Applications
- Supports testing between connected PACs with both 10GbE and 40GbE Ethernet functionality.
Power and Thermal Specifications
Power Consumption
- Typical Power: 60W TDP, with peak power reaching up to 70W
- FPGA Power Consumption: Up to 45W
Thermal Requirements
- Operating Temperature: 95°C (203°F)
- Shutdown Temperature: 100°C (212°F)
HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card Overview
The HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card is designed to deliver exceptional performance in a variety of data-centric and high-performance computing applications. The card leverages the power of Intel’s Arria 10 GX FPGA, providing users with highly parallel and configurable computing resources to accelerate workloads, such as network processing, artificial intelligence (AI), machine learning, financial modeling, and video analytics. With its versatility, low latency, and high throughput, this FPGA accelerator card is an indispensable tool for organizations that require optimized computing environments for processing large volumes of data quickly and efficiently.
Key Features of the HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card
The HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card offers several advanced features that enable users to benefit from enhanced performance and scalability:
1. High-Speed Data Processing
The Intel Arria 10 GX FPGA within this accelerator card is built for high-speed processing, delivering fast data throughput and minimal latency for demanding applications. It includes advanced I/O capabilities that allow it to efficiently handle large datasets, making it suitable for industries such as telecommunications, aerospace, and scientific research.
2. Flexibility and Customization
One of the key advantages of FPGAs is their ability to be customized. The HPE BD-ACD-10AX1152H allows users to configure the FPGA to meet the specific needs of their application, whether it's for video streaming, data analytics, or custom computation tasks. This flexibility provides developers with the ability to implement custom hardware accelerations that would be difficult or impossible with traditional CPUs.
3. Efficient Power Usage
Despite its powerful capabilities, the Intel Arria 10 GX FPGA is designed to operate efficiently with reduced power consumption. This feature makes it an excellent choice for environments that require both high-performance computing and energy efficiency.
4. Advanced Connectivity Options
The HPE BD-ACD-10AX1152H features robust connectivity options, such as high-bandwidth interfaces and PCIe Gen 3 support, enabling seamless integration with a wide range of systems and network architectures. This connectivity makes it ideal for data centers, high-performance computing clusters, and edge computing applications.
Applications of the HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card
The HPE BD-ACD-10AX1152H is a versatile accelerator card that can be utilized in numerous application scenarios, including but not limited to the following:
1. Data Center Acceleration
In modern data centers, speed and efficiency are paramount. The HPE BD-ACD-10AX1152H FPGA accelerator card can be used to accelerate workloads in cloud environments, big data analytics, and machine learning tasks. Its high-speed capabilities allow data to be processed faster, reducing overall processing times and improving system performance.
2. Artificial Intelligence and Machine Learning
With the exponential growth of AI and machine learning, the need for computational acceleration has increased. The FPGA's parallel processing architecture is ideal for training AI models and processing large datasets. This accelerator card enables deep learning frameworks, such as TensorFlow and PyTorch, to run more efficiently by offloading specific computations to the FPGA, speeding up training and inference times.
3. Financial Services
In financial services, speed is crucial for real-time trading, fraud detection, and risk analysis. The HPE BD-ACD-10AX1152H helps reduce latency in critical financial applications by providing fast computation and data analysis. It enables financial institutions to process large volumes of transactions in real-time, ensuring that they can react to market changes quickly.
4. High-Performance Computing (HPC)
High-performance computing applications, including scientific simulations and engineering modeling, benefit greatly from the parallel processing capabilities of the HPE BD-ACD-10AX1152H FPGA accelerator card. The FPGA’s ability to perform multiple computations simultaneously enhances the overall speed and efficiency of computationally intensive tasks, making it an ideal solution for supercomputing clusters and large-scale simulations.
5. Video Processing and Media Streaming
The Intel Arria 10 GX FPGA is also ideal for accelerating video encoding and decoding processes. Its parallel architecture helps achieve real-time processing of high-definition video streams, which is essential in applications like live broadcasting, video conferencing, and video-on-demand services. The HPE BD-ACD-10AX1152H can be used in both content creation and delivery, ensuring smooth and fast video processing.
Technical Specifications of the HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card
When considering the HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card, it’s important to evaluate its technical specifications to ensure it meets the specific requirements of your computing environment. The card features several key technical characteristics:
1. FPGA Model and Architecture
The HPE BD-ACD-10AX1152H is powered by the Intel Arria 10 GX FPGA. This FPGA is based on a 20nm process technology, which allows it to achieve higher performance while maintaining power efficiency. The FPGA is configured with more than 1.5 million logic elements (LEs), enabling it to perform complex computations with high parallelism and low latency.
2. Memory and Storage
The card features ample on-board memory that enhances its ability to handle large datasets and complex algorithms. With 8GB of high-performance GDDR5 memory, the accelerator card can store data for rapid access during computation. This memory size ensures that the FPGA can handle demanding workloads without frequent memory swaps, optimizing performance.
3. Connectivity
For optimal data transfer, the HPE BD-ACD-10AX1152H supports PCIe Gen 3 x8 interface, which offers a high bandwidth of up to 16 GB/s for data exchange between the FPGA and the host system. This ensures that the accelerator card can quickly and efficiently interact with the rest of the system, reducing bottlenecks and latency in data-heavy applications.
4. Form Factor and Integration
The HPE BD-ACD-10AX1152H comes in a standard PCIe card form factor, making it easy to integrate into most server systems. Its PCIe Gen 3 x8 interface provides compatibility with a wide range of server and workstation platforms, allowing users to easily deploy the card in various environments, from on-premises data centers to cloud-based infrastructures.
Benefits of Using the HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card
Deploying the HPE BD-ACD-10AX1152H Intel Arria 10 GX FPGA Accelerator Card can provide several key advantages that directly impact both performance and efficiency. Some of the primary benefits include:
1. Reduced Latency and Faster Data Processing
With its low-latency architecture, the HPE BD-ACD-10AX1152H delivers ultra-fast data processing for time-sensitive applications. This makes it particularly valuable in fields like telecommunications, where real-time data processing is critical.
2. Cost-Effective Scalability
FPGAs offer a cost-effective way to scale computing power. By offloading tasks from the CPU to the FPGA, organizations can achieve better performance without having to invest in additional server infrastructure. This makes the HPE BD-ACD-10AX1152H an ideal solution for businesses looking to scale their workloads without increasing hardware costs.
3. Customizability for Specific Applications
One of the biggest advantages of FPGAs is their customizability. With the HPE BD-ACD-10AX1152H, users can tailor the FPGA to perform specific functions that are best suited to their applications, improving overall efficiency and performance in specialized fields such as AI, machine learning, and financial modeling.
4. High Parallel Processing Power
The HPE BD-ACD-10AX1152H provides unparalleled parallel processing power, allowing for the simultaneous execution of multiple tasks. This is especially important for tasks that require massive computational resources, such as data analysis, scientific simulations, and media rendering.
5. Energy Efficiency
Despite the card’s powerful performance, it is designed to operate with low power consumption. This makes the HPE BD-ACD-10AX1152H a more energy-efficient solution compared to traditional CPU-based architectures, which helps reduce operational costs and the environmental impact of high-performance computing systems.