Achieving Class B Certification, XQRVE2302 devices bring accelerated AI inferencing to space with integrated, enhanced AMD AI Engines (AIE) optimized for machine learning applications. 

Join us at ISE 2025 where AMD will showcase its diverse portfolio supporting multiple AV-over-IP, connectivity and video processing applications, as well as supporting AI-based innovations to enhance user experience.

SDK 1.2.1

We are pleased to announce the AMD Alveo™ Media Acceleration portfolio (AMA) SDK 1.2.1 release—further expanding the AMD Alveo MA35D media accelerator capabilities.

• AMD 7 Series device lifecycles extended through 2040
• AMD UltraScale+™ device lifecycles extended through 2045
• AMD Versal™ adaptive SoCs available through 2045

      (All temperatures and speed grades, excluding HBM devices)

We are pleased to announce the AMD Alveo™ Media Acceleration portfolio (AMA) SDK 1.2 release—further expanding the AMD Alveo MA35D media accelerator capabilities.

AMD 7 Series device lifecycles extended through 2040

AMD UltraScale+™ device lifecycles extended through 2045

AMD Versal™ adaptive SoCs available through 2045+

(All temperatures and speed grades, excluding HBM devices)

We are pleased to announce the AMA SDK 1.1.2 release, an OBS studio plugin, and Norsk video SDK integration.

Unleash next-level data processing with AMD's Alveo™ V80 compute accelerator, now shipping in volume. Engineered for memory-bound applications, it doubles bandwidth and compute density. Perfect for HPC, network security, and computational storage, the Alveo V80 streamlines development and optimizes performance across diverse workloads.

Two AMD-sponsored FIRST robotics teams are not only building competitive robots, but also helping to promote STEM education in their communities. 

As embedded AI, video, and control applications explode, there is a growing need for heterogeneous processing to accelerate end-to-end compute within tight area and power constraints. Multi-chip processing solutions come with significant power, area, and complexity overhead; instead, designers need support for flexible, real-time preprocessing, efficient AI inference, and high-performance postprocessing on a single device.