1SX250HH1F55I2LG

1SX250HH1F55I2LG Product Details

Product Overview

The 1SX250HH1F55I2LG is a high-performance System-on-Chip (SoC) FPGA from Intel's Stratix 10 SX series, designed for cutting-edge data processing and acceleration in demanding applications. Integrating an ARM Cortex-A53 processor with FPGA fabric, this device provides an optimal blend of processing power, flexibility, and performance. It is suited for tasks requiring high throughput, low latency, and real-time processing, including 5G base stations, autonomous driving systems, AI acceleration, and more. Its advanced architecture ensures maximum power efficiency and scalability for a wide range of embedded applications.

Key Features and Advantages

• Integrated ARM Cortex-A53 Processor: Provides a powerful processing core, enabling complex computations and control logic with high efficiency.

• High-Speed Transceivers: Supports data rates up to 28.3 Gbps, ideal for high-bandwidth communication systems and networking.

• Advanced FPGA Fabric: Offers over 2.5 million logic elements, providing a flexible platform for custom hardware acceleration and deep learning applications.

• High Memory Bandwidth: Equipped with DDR4 memory controllers for high-speed data transfer, essential for applications requiring fast data access.

• Low Latency Performance: Enables real-time data processing for applications such as AI inference, image processing, and high-frequency trading.

• Power Efficiency: Designed to balance performance with energy efficiency, reducing operational costs and heat dissipation.

• Scalability: Ideal for scalable systems where multiple devices or configurations are required, providing flexibility in design and deployment.

Specifications

Applications

• 5G Infrastructure: The 1SX250HH1F55I2LG is integral to 5G base stations, handling the immense data processing and real-time communication demands required for high-speed mobile networks. It accelerates signal processing and improves latency in data transmission.

• Autonomous Vehicles: Provides real-time processing capabilities required for tasks such as sensor fusion, image recognition, and AI decision-making in self-driving cars. The ARM Cortex-A53 processor works alongside the FPGA fabric to handle complex computations with minimal delay.

• Artificial Intelligence (AI): Used in AI and deep learning applications, the 1SX250HH1F55I2LG accelerates neural network computations, making it ideal for AI accelerators, machine learning platforms, and real-time inferencing systems.

• High-Frequency Trading (HFT): Reduces processing latency in financial markets where microseconds can determine the success of trades, making it a reliable solution for HFT platforms.

• Aerospace and Defense: Supports critical real-time systems used in defense technology, such as radar systems, satellite communications, and missile guidance, where high throughput and precise control are essential.

Usage Scenarios

• Data Centers: In cloud computing environments, the 1SX250HH1F55I2LG accelerates data processing, enabling tasks like machine learning model training, data analytics, and real-time video processing. Its high-speed transceivers support efficient communication between servers.

• Industrial Automation: Ideal for use in advanced robotics and automation systems that require real-time control and high-speed data processing. The SoC design allows for seamless integration of control logic and data analysis in one chip.

• Healthcare Devices: Used in medical imaging systems, such as MRI and CT scanners, where high-performance processing and real-time data analysis are necessary to provide accurate and timely diagnoses.

• Telecommunications: In addition to 5G networks, it can be applied in optical transport networks (OTN) and software-defined networking (SDN), which require high bandwidth and low latency for efficient data handling and routing.

Shipping and Transportation Methods

• DHL Express: This is one of the fastest shipping methods available, typically delivering within 1-3 business days worldwide. DHL provides reliable service with tracking capabilities and handles customs clearance efficiently, making it ideal for high-priority, time-sensitive shipments.

• FedEx International Priority: Offers fast and reliable international delivery, usually within 1-3 business days. It’s known for its detailed tracking features and guarantees on delivery time, ensuring secure and quick transport of high-value items.

• UPS Worldwide Expedited: A more economical option than express services, UPS Expedited delivers in 2-5 business days. It offers a balance between cost and speed, making it suitable for non-urgent deliveries.

• TNT Economy Express: Delivers within 3-6 business days and is well-suited for lower-priority shipments that don’t require immediate delivery. This service offers good value while still ensuring reasonable delivery times.

• EMS (Express Mail Service): Generally slower than DHL or FedEx, EMS delivers within 7-10 business days, providing a cost-effective solution for lightweight and non-urgent shipments.

Frequently Asked Questions

1. What are the primary applications for the 1SX250HH1F55I2LG?
   The 1SX250HH1F55I2LG is primarily used in 5G networks, AI accelerators, autonomous vehicles, industrial automation, and high-performance computing applications.

2. Does the 1SX250HH1F55I2LG support high-speed transceivers?
   Yes, it supports transceiver data rates up to 28.3 Gbps, making it suitable for high-bandwidth communication systems.

3. What processor is integrated into the 1SX250HH1F55I2LG?
   The device integrates an ARM Cortex-A53 processor, offering robust processing capabilities for a wide range of applications.

4. What is the operating temperature range of the 1SX250HH1F55I2LG?
   The operating temperature range is from -40°C to +100°C, allowing it to perform reliably in both industrial and harsh environments.

5. Can the 1SX250HH1F55I2LG be used in AI applications?
   Yes, with its high logic element count and DSP blocks, the device is ideal for accelerating AI computations, including neural network processing and machine learning inferencing.