Manufacturer Part Number
LAXP2-17E-5FTN256E
Manufacturer
Lattice Semiconductor
Introduction
The LAXP2-17E-5FTN256E is a member of the Lattice Semiconductor LA-XP2 series of embedded FPGAs (Field Programmable Gate Arrays). This device offers a high-performance, low-power solution for a wide range of applications, including industrial automation, communication systems, and consumer electronics.
Product Features and Performance
2125 Logic Array Blocks (LABs) / Configurable Logic Blocks (CLBs)
17,000 Logic Elements/Cells
282,624 Total RAM Bits
201 I/O Pins
Supply Voltage: 1.14V ~ 1.26V
Operating Temperature Range: -40°C to 125°C (TJ)
256-LBGA Package / 256-FTBGA (17x17) Supplier Device Package
Surface Mount Mounting Type
Product Advantages
Flexible and reconfigurable logic for customized designs
Low power consumption for energy-efficient applications
Robust operating temperature range for industrial and harsh environments
Comprehensive development tools and ecosystem support
Key Reasons to Choose This Product
Optimized for performance and power efficiency
Scalable and adaptable to meet varying design requirements
Extensive ecosystem and development support from Lattice Semiconductor
Proven reliability and longevity in the market
Quality and Safety Features
Rigorous quality control and testing processes
Compliance with relevant industry standards and certifications
Compatibility
The LAXP2-17E-5FTN256E is compatible with a wide range of system architectures and can be seamlessly integrated into various electronic designs.
Application Areas
Industrial automation and control
Communication and networking equipment
Consumer electronics and IoT devices
Medical and healthcare systems
Aerospace and defense applications
Product Lifecycle
The LAXP2-17E-5FTN256E is an active product in the Lattice Semiconductor portfolio. There are no immediate plans for discontinuation, and Lattice Semiconductor continues to offer support and development tools for this device. Customers are advised to contact our website's sales team for information on any potential alternative or equivalent models that may become available in the future.