Intel_5AGXMA5G6F35C6N

Intel
5AGXMA5G6F35C6N  
FPGAs

Intel
5AGXMA5G6F35C6N
696-5AGXMA5G6F35C6N
Ersa
Intel-5AGXMA5G6F35C6N-datasheets-403157.pdf
IC FPGA 544 I/O 1152FBGA
In Stock : 169

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5AGXMA5G6F35C6N Description

Intel's 5AGXMA5G6F35C6N is a high-performance programmable chip designed for a wide range of applications in the fields of artificial intelligence, machine learning, and high-speed data processing. This chip is part of Intel's Agilex family, which is known for its versatility and scalability.

Description:

The 5AGXMA5G6F35C6N is a powerful FPGA (Field-Programmable Gate Array) that offers a combination of high performance, low power consumption, and advanced features. It is built on a 16nm process technology and features a large number of programmable logic elements, digital signal processing blocks, and memory resources.

Features:

  1. Advanced Transceivers: The 5AGXMA5G6F35C6N is equipped with high-speed transceivers that support data rates up to 56 Gbps, making it suitable for applications requiring high-speed data transmission.
  2. Integrated Memory: This FPGA comes with a large amount of on-chip memory, including block RAM, M20K memory blocks, and DDR memory interfaces, allowing for efficient data storage and processing.
  3. AI and Machine Learning Acceleration: The 5AGXMA5G6F35C6N includes dedicated AI and machine learning acceleration features, such as the Intel DNNL-FPGA library and support for the OpenVINO toolkit, enabling faster and more efficient AI and machine learning workloads.
  4. Security Features: The chip provides robust security features, including hardware-based encryption and secure boot, ensuring the protection of sensitive data and applications.
  5. Versatile I/O Options: The 5AGXMA5G6F35C6N offers a wide range of I/O options, including PCIe, Ethernet, and GPIO, making it suitable for various interface requirements.

Applications:

  1. Artificial Intelligence and Machine Learning: The 5AGXMA5G6F35C6N is ideal for AI and machine learning applications, such as image and video processing, natural language processing, and data analytics.
  2. High-Speed Data Processing: The chip's high-speed transceivers and advanced processing capabilities make it suitable for applications requiring fast data processing, such as network infrastructure, financial trading platforms, and telecommunications.
  3. Embedded Systems: The 5AGXMA5G6F35C6N can be used in embedded systems for various industries, including automotive, industrial automation, and aerospace, where high performance and low power consumption are critical.
  4. Security Applications: The chip's security features make it suitable for applications that require data protection, such as secure communication systems, encryption, and digital rights management.
  5. Prototyping and Development: The 5AGXMA5G6F35C6N can be used for prototyping and development of custom hardware solutions, allowing engineers to quickly develop and test new designs before moving to production.

In summary, Intel's 5AGXMA5G6F35C6N is a versatile and powerful FPGA that offers a range of features and applications, making it an excellent choice for various industries and applications requiring high performance, low power consumption, and advanced processing capabilities.

Tech Specifications

Operating Temperature
Total RAM Bits
Number of LABs/CLBs
ECCN
Number of I/O
Mounting Type
Product Status
Supplier Device Package
Series
Package / Case
Voltage - Supply
Mfr
HTSUS
Package
Number of Logic Elements/Cells
RoHS Status
Base Product Number
Moisture Sensitivity Level (MSL)

5AGXMA5G6F35C6N Documents

Download datasheets and manufacturer documentation for 5AGXMA5G6F35C6N

Ersa Arria V GX/GT Errata      
Ersa Arria V Datasheet      
Ersa Mult Dev Label Chgs 24/Feb/2020       Mult Dev Label CHG 24/Jan/2020      
Ersa Virtual JTAG Megafuntion Guide      
Ersa Readiness Plan Update 3/Apr/2020      
Ersa Arria V Device Handbook      
Ersa Mult Dev EOL REV 2/Aug/2019       Mult Dev EOL 28/Feb/2019       Mult Dev Add Subs 6/Sep/2019      
Ersa Arria V 25/Jan/2019       Laser Marking 05/Oct/2018      

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