1SX280HU3F50I3VG

1SX280HU3F50I3VG Product Details

Product Overview

The 1SX280HU3F50I3VG is a high-performance FPGA from Intel’s Stratix 10 series, optimized for data-intensive applications requiring substantial processing power and scalability. Built with Intel’s HyperFlex™ FPGA architecture, this component enables high-speed processing with advanced parallelism and flexibility. Ideal for applications in sectors such as data centers, telecommunications, and AI, the 1SX280HU3F50I3VG is equipped to handle demanding computational workloads and offers a robust solution for next-generation technologies.

Key Advantages and Features

• High-Performance HyperFlex™ Architecture: Maximizes data throughput, ensuring fast and efficient data processing.

• Advanced Parallelism: Supports complex computations in parallel, optimizing processing power for AI, machine learning, and high-frequency trading.

• Flexible Configuration: Provides a scalable solution with customizable I/O configurations to meet specific application demands.

• Energy-Efficient Design: Reduces power consumption while maintaining performance, supporting greener, energy-efficient systems.

• High Reliability: Engineered for mission-critical environments, delivering consistent and robust performance.

Specifications

Application Areas

The 1SX280HU3F50I3VG FPGA is suitable for several high-performance and data-driven application areas, including:

• Data Centers: Facilitates accelerated data processing and AI computations, enhancing operational efficiency and response times.

• Telecommunications: Utilized in high-speed signal processing, enabling seamless communication in 5G infrastructure and networking equipment.

• Artificial Intelligence: Powers AI and machine learning applications by handling complex parallel computations at high speed.

• High-Frequency Trading Systems: Offers ultra-low latency processing, enabling real-time data analysis and trade execution in financial systems.

• Video and Image Processing: Provides advanced computational capabilities for HD video processing and real-time image recognition tasks.

Use Case Scenarios

The 1SX280HU3F50I3VG excels in scenarios such as:

• Machine Learning Workloads: With its advanced parallel processing capabilities, this FPGA enables rapid data training and inference in AI applications, enhancing model accuracy and response times.

• Real-Time Data Processing in 5G Networks: Capable of supporting high data bandwidth requirements, making it essential for real-time processing and transmission in modern telecommunications systems.

• Financial Market Analysis: Perfect for applications where speed is critical, such as high-frequency trading, where rapid data processing can directly impact decision-making.

Shipping and Logistics

For global delivery, the 1SX280HU3F50I3VG can be shipped through various international logistics services:

• DHL Express: Known for expedited shipping with tracking, ideal for urgent deliveries worldwide.

• FedEx International Priority: Offers reliable and timely delivery, suitable for high-priority international shipments.

• UPS Worldwide Saver: Provides a cost-effective solution for deliveries requiring both speed and reliability.

• Air Freight: Appropriate for large-scale orders needing quicker transit times than sea shipping, albeit at a higher cost.

• Ocean Freight: Economical for bulk shipments with longer delivery times, recommended for non-urgent and large orders.

Frequently Asked Questions

Q1: What types of applications are ideal for the 1SX280HU3F50I3VG FPGA?
A1: This FPGA is well-suited for data-intensive applications, including AI, machine learning, data centers, telecommunications, and high-frequency trading systems.

Q2: Does this component support real-time processing?
A2: Yes, it’s designed to handle real-time data processing efficiently, making it ideal for applications requiring low latency.

Q3: What packaging type does the 1SX280HU3F50I3VG come in?
A3: It comes in a FCBGA-2912 package, supporting robust performance in industrial and high-complexity environments.