Altera's Agilex 3 FPGAs are Designed for the AI Future
Colin Smith — March 12, 2025 — Tech
References: altera & venturebeat
The Agilex 3 FPGAs from Altera are designed to meet the stringent power, performance, and size requirements of embedded and intelligent edge applications. These field-programmable gate arrays (FPGAs) offer up to 1.9 times higher fabric performance while consuming up to 38% less power compared to the previous generation. The Agilex 3 FPGAs feature built-in AI Tensor blocks and embedded processors, which enable businesses to deploy customized AI solutions that deliver low latency, energy efficiency, and agility. These capabilities make the Agilex 3 FPGAs suitable for a wide range of applications, including robotics, factory automation, and medical equipment.
In addition to their performance enhancements, the Agilex 3 FPGAs are supported by Altera's Quartus Prime Pro software and FPGA AI Suite. These tools enable developers to create custom FPGA AI platforms using industry-standard frameworks such as TensorFlow and PyTorch. The Agilex 3 FPGAs are available for ordering, along with development kits, selected partner boards, and system-on-modules. Altera's commitment to providing high-quality, intelligent edge solutions is further demonstrated by the company's recent relaunch as a standalone FPGA business, following its acquisition by Intel in 2015. This strategic move aims to expand Altera's leadership in the programmable solutions market and support the rapid development of embedded systems for the era of AI.
Image Credit: Altera
In addition to their performance enhancements, the Agilex 3 FPGAs are supported by Altera's Quartus Prime Pro software and FPGA AI Suite. These tools enable developers to create custom FPGA AI platforms using industry-standard frameworks such as TensorFlow and PyTorch. The Agilex 3 FPGAs are available for ordering, along with development kits, selected partner boards, and system-on-modules. Altera's commitment to providing high-quality, intelligent edge solutions is further demonstrated by the company's recent relaunch as a standalone FPGA business, following its acquisition by Intel in 2015. This strategic move aims to expand Altera's leadership in the programmable solutions market and support the rapid development of embedded systems for the era of AI.
Image Credit: Altera
Trend Themes
1. AI-embedded Fpgas - The integration of AI Tensor blocks and embedded processors into FPGAs represents a shift towards more versatile, energy-efficient AI implementations.
2. Power-efficient Computing - The Agilex 3 FPGAs' substantial reduction in power consumption underscores a growing demand for computing solutions that enable high performance while minimizing energy use.
3. Customizable AI Platforms - The ability to create tailored FPGA AI platforms using familiar frameworks demonstrates a trend towards more accessible and adaptable AI development environments.
Industry Implications
1. Robotics - The enhanced performance and efficiency of Agilex 3 FPGAs can transform robotics applications, enabling smarter and more autonomous machines.
2. Factory Automation - In factory settings, these advanced FPGAs facilitate faster and more reliable automation processes with improved energy efficiency.
3. Medical Equipment - Medical devices stand to benefit from the FPGA's low latency and energy-efficient AI capabilities, enhancing diagnostic and operational functions.
5.8
Score
Popularity
Activity
Freshness
