AMD Embedded✓

📢 @XilinxInc is now @AMDembedded New name. Expanded content. Bringing together a highly complementary set of adaptive computing and embedded solutions to solve some of the world's most important challenges. #togetherweadvance #adaptivecomputing

As robots take on more dynamic tasks, they need computing power to adapt in real time. Michael DeGrace of @Universal_Robot discusses how AMD embedded technology can support that adaptability and why open architecture matters when building robotic solutions.

RT @AMD: Decades of adaptive computing leadership. Innovation for what's next. As intelligent edge systems and physical AI evolve, adaptive SoCs and FPGAs are becoming increasingly important. In his latest blog, Salil Raje, SVP and GM of the AMD Embedded business, shares his perspective on the state of adaptive computing and opportunities ahead.

More bandwidth. Less board space. Discover how AMD Versal Premium Gen 2 Memory on Package integrates up to 32 GB LPDDR5X and delivers up to 288 GB/s to simplify design, reduce respins, and accelerate time to market.

In this interview with @theCUBE, Kirk Saban, CVP of embedded products and software solutions at AMD, discusses how AMD is simplifying the path for robotics developers with an easy-to-use platform that leverages AMD ROCm software and brings agentic AI capabilities into the embedded development stack. View full discussion:

RT @AMD: The CEO of @G_Bionics, @Daniele_Pucci_, shares his perspective on the future of robotics in a conversation with Salil Raje, SVP and GM of the AMD Embedded business, and Kirk Saban, CVP of Embedded Products, Software and Solutions. Together, they discuss the evolving role of physical AI and the technologies needed to support it. Watch here to learn more:

Peak specs tell only part of the story. In robotics, performance means keeping AI, perception, planning, and control moving together in real time. See what the Open Navigation benchmark reveals about AMD Ryzen AI Embedded X100 Series:

AMD Vitis Hardware in the Loop (Vitis HIL) helps validate earlier, reduce costly lab iterations, and accelerate deployment. See how Adam Taylor (@ATaylorFPGA) applies Vitis HIL to test real-world heterogeneous designs with greater confidence:

Great to see the FPGA community come together at #FPGAHorizons London! AMD highlights included Kirk Saban’s keynote and our hands-on Agentic AI workshop, showcasing how the AMD Ross Agentic AI Assistant is changing adaptive SoC development. 🎬 Take a look at the highlights!

RT @AMD: Physical AI is about more than how fast a model can run. It's about whether the entire system can act in time. Salil Raje, SVP and GM of the AMD Embedded business, explains why robotics needs a system-level approach, with the right compute for AI reasoning, real-time control and coordination. Read the blog:

RT @AMD: Embedded development, meet agentic AI. Dive into @Forbes latest piece on AMD Ross, a new agentic AI assistant that dramatically accelerates the entire embedded design and development cycle by bringing natural-language tool interaction and expert-authored workflows together in a single agentic AI experience:

And that’s a wrap on the 2026 Embedded Computing Summit (ECS) Global Technical Tour! 🌍 From North America to EMEA, Greater China & APJ, thank you to every customer, partner, speaker and AMD expert who joined us for technical learning, live demos & great conversations.

The fastest converter does not win the system. The architecture that turns wideband data into a decision with less movement, power, and integration risk does. Explore the AMD Versal RF Series ➡️

Software-only simulation can't keep pace with complex heterogeneous designs. AMD Vitis Hardware in the Loop runs your design on real Versal silicon, faster than AMD software simulation alone, using the MATLAB® or Python™ scripts you already have. Learn more:

RT @AMD: What does it take to build a humanoid robot for heavy industrial work? In this interview, KV Thanjavur Bhaaskar, Director of Robotics at AMD, speaks with Sankaet Pathak, CEO of @Foundation_Robo, about building robots that can operate reliably in demanding environments and learn in the field. Watch to learn how the broad AMD portfolio can support Foundation’s vision for its next generation of robots:

Security isn't simply a feature. It's a property of the whole system, how it's designed, built, and run. Read how AMD protects adaptive designs before boot, during runtime, and throughout the lifecycle:

In this recent interview with @theCUBE, Kirk Saban, corporate vice president of embedded products and software solutions at AMD, discusses the benefits of AMD ROCm software and how an open-source environment can help developers accelerate AI development across embedded and physical AI applications. Watch to learn more:

AMD Ross™ brings agentic tool interaction and reusable engineering expertise into the development environment you already use, helping turn design intent into execution.  Prompt in natural language for answers grounded in comprehensive AMD technical knowledge. Connect to supported AMD Embedded tools to inspect projects and reports. Use expert-authored agent skills to guide design, debug, and optimize workflows. Get started with AMD Ross:

PQC is not a checkbox. It must work with secure boot, IP protection, key management, tamper response, and side-channel defenses. Watch the AMD webinar to see how these capabilities work together in Spartan UltraScale+ FPGAs:

Physical AI demands more than peak specs. See how AMD Ryzen AI Embedded X100 Series processors bring real-time control, AI inference, and graphics together on a single platform for robotics. View the infographic:

Meet AMD Ross™, the agentic AI assistant for embedded developers. AMD Ross automates complex, repetitive workflows, scales expertise, and helps teams move faster, from design intent to execution through natural language interactions. Learn more: