Thursday, January 23, 2025

Intel Agilex 5 D-Series FPGAs: Power Your Next-Gen Solutions

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Intel Agilex 5 D-Series FPGAs and SoC FPGA

Enhance Performance and Power Efficiency on Agilex 5 D-Series FPGAs with LPDDR5 and DDR5! The D-Series devices use Intel 7 technology to provide mid-range FPGA applications with higher performance per watt, low power consumption, and tiny form factors.

More applications rely on memory technology to attain more performance or improved performance per watt efficiency in the quickly changing field of edge computing. With a range of memory options that are carefully designed to satisfy the demanding needs of compute-intensive applications across a variety of market segments, including networking, cloud, broadcast, and embedded systems, Altera’s Agilex 5 D-Series FPGAs make it simple to adopt the most recent memory evolution.

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As memory moves to new standards, Agilex 5 D-Series FPGAs enable a wide range of memory solutions, including DDR4, LPDDR4, DDR5, and LPDDR5. They do this by using new process nodes, decreasing voltages, lowering power, and lowering the cost per bit. Higher bandwidth and better performance are provided by DDR4 and DDR5 than midrange FPGAs from earlier generations, with DDR5 offering even greater speed and power efficiency improvements over DDR4.

Because to its low power consumption optimization, LPDDR4 is perfect for edge or embedded applications. Compared to LPDDR4, LPDDR5 provides better energy management and quicker data speeds. These memory technologies, when combined with Altera FPGAs, allow for faster data processing and more effective power consumption for a variety of applications, such as 4K/8K Video Vision, AI Image Classification, Database, and Analytics, offering developers flexible and scalable solutions.

The protected memory controller and PHY are two of the Agilex 5 D-Series FPGAs‘ most notable characteristics. In comparison to earlier generations such as the Cyclone V FPGAs and contemporary competitor devices, this integration not only lowers logic utilization but also speeds up timing closure, providing better performance levels. In order to maintain dependability and get optimal performance, developers need to put in a lot less work to the hardened memory controller.

The Quartus Prime Software development tools’ simple External Memory Interface (EMIF) Intellectual Property (IP) makes design easier, faster, and more accessible while offering the greatest developer experience possible. Altera also offers ready-to-use memory design examples, which are a great way for developers to get their projects started and shorten the time it takes for their apps to reach the market.

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Altera is at the forefront of in-memory technology for edge computing, as demonstrated by the Agilex 5 D-Series FPGAs. The Agilex 5 devices are intended to provide clients the newest memory solutions that give them a competitive edge and shorten their time to market. This is achieved through a variety of memory choices, a hardened memory controller and PHY, design freedom, and outstanding developer software support.

Performance and Power Efficiency Optimization

  • Performance-per-watt is two times better than rivals using 7 nm nodes.
  • 42% less power overall than Stratix 10 FPGAs.
  • Fabric performance is 1.5 times better than that of Stratix 10 FPGAs.

Advantages

Designed for Power Efficiency and Performance

Targeting mid-range FPGA applications that need high performance, reduced power consumption, smaller form factors, transceiver data speeds <28 Gbps, and lower logic densities (down to 100k LEs), this technology boasts the industry-leading fabric performance-per-watt on Intel 7.

An adaptable gadget with a steady supply

In addition to providing Flexible I/O with a wide range of choices to support a number of configurable I/O standards, D-Series devices take use of Intel’s sophisticated manufacturing capabilities for supply resilience with constant best-in-class lead times and dependable delivery.

Use AI to accelerate

With the first FPGAs in the market to integrate Enhanced DSP with AI Tensor Blocks, you can speed up AI-based workloads. You can also optimize the device’s AI resources and construct custom-sized inference IP using the first push-button flow in the FPGA industry that incorporates AI frameworks.

Important Features

Transceivers

Ranges from 1 Gbps to 28.1 Gbps and is optimized for a large number of applications.

Interface for External Memory

4 Mbps LPDDR4, 4,267 Mbps LPDDR5, 3,200 Mbps DDR4, and 4,000 Mbps DDR5.

Modules for Adaptive Logic

The improved Adaptive Logic Module (ALM) makes it simple to convert intellectual property (IP) and implement logic functions efficiently.

Applications and Use Cases

Applications Highlighted in Different Markets Using Agilex 5 FPGAs

Discover how Agilex 5 FPGAs, which are mid-range FPGAs with top-notch features and capabilities, solve design issues in networking and embedded applications.

Effectively Enhance AI-Powered Designs on FPGAs

With the help of the Intel FPGA AI Suite, software developers, machine learning experts, and FPGA designers may optimize AI-enabled designs on FPGA and SoC families that use specialized DSP blocks. These blocks are essential for completing AI calculations more quickly and are optimized for tensor math.

Agilex 5 FPGAs Series

E-Series:
Optimized for power and size-Ideal for intelligent applications at the edge, embedded, and more
D-Series:
Optimized for performance and power efficiency – Ideal for various applications across multiple markets
50K – 656K LEs103K – 644K LEs
Package size as small as 15 mm x 15 mmPackage size as small as 23 mm x 23 mm
Up to 24 x 28G transceiversUp to 32 x 28G transceivers
Up to PCIe 4.0 x4 and 10/25GbE x6 Hard IPUp to PCIe 4.0 x8 and 25GbE x16 Hard IP
DDR4 @ 2,667 Mbps, DDR5 @ 3,600 Mbps, LPDDR4/5 @ 3,733 MbpsDDR4 @ 3,200 Mbps, DDR5 @ 4,000 Mbps, LPDDR4/4x/5 @ 4,267 Mbps, QDR IV @ 2,132 Mbps
Peak TOPS INT8 up to 26Peak TOPS INT8 up to 56
18×19 Multipliers up to 1,69218×19 Multipliers up to3,680
Multi-core Arm processors of Dual-core A55 @ 1.5 GHz and Dual-core A76 @ 1.8GHz
MIPI D-PHY v2.5 at up to 3.5 Gbps per lane

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agarapuramesh
agarapurameshhttps://govindhtech.com
Agarapu Ramesh was founder of the Govindhtech and Computer Hardware enthusiast. He interested in writing Technews articles. Working as an Editor of Govindhtech for one Year and previously working as a Computer Assembling Technician in G Traders from 2018 in India. His Education Qualification MSc.
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