# Xilinx

Xilinx is an other based in San Jose, United States.

## Overview

- **Organization type:** other
- **Headquarters:** San Jose, United States
- **Region:** North America
- **Address:** San Jose, CA, United States
- **Assets under management:** Undisclosed
- **Website:** xilinx.com
- **LinkedIn:** https://www.linkedin.com/company/xilinx

## Regulatory record

- **Reports private funds:** No

## About

Xilinx was founded in Silicon Valley in 1984 and was the inventor of the FPGA and Adaptive SoCs. Xilinx’s highly flexible, programmable silicon, enabled by a suite of advanced software and tools, drove rapid innovation across a wide span of industries and technologies. Xilinx delivered the most dynamic processing technology in the industry, enabling rapid innovation with its adaptable, intelligent computing. In 2022, Xilinx was acquired by AMD and is now the AMD Adaptive and Embedded Computing Group. Follow the AMD LinkedIn page to learn more. https://www.linkedin.com/company/amd

## Questions

### When and how did AMD acquire Xilinx?

AMD completed its $49 billion all-stock acquisition of Xilinx in February 2022 (per AMD, February 2022). The deal combined AMD's CPU and GPU lines with Xilinx's programmable logic portfolio, forming AMD's Adaptive & Embedded Computing Group. Regulatory approvals were obtained in the US, EU, China, and other jurisdictions.

### What are the main product lines that came from Xilinx?

Xilinx's core product lines included FPGAs (e.g., Virtex, Kintex, Artix families), adaptive SoCs (Zynq), and ACAPs (Versal). These are used in 5G infrastructure, aerospace and defense systems, automotive driver-assistance, and data-center acceleration — for example, AWS EC2 F1 instances deployed Xilinx FPGAs (per AWS, 2017).

### How does Xilinx technology fit into AMD's current AI strategy?

AMD markets Xilinx's programmable logic as 'adaptive computing,' positioning it alongside its Instinct GPUs and EPYC CPUs for end-to-end AI — from data center training to edge inference. The FPGA's reconfigurability allows AI models to be updated post-deployment, which AMD frames as a cost and flexibility advantage versus fixed ASICs.

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Last updated: 2026-06-03T20:00:00.000Z

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