AMD brings agentic AI to embedded engineering with AMD Ross
The new AI assistant connects AMD’s embedded development tools, validated knowledge and expert workflows to accelerate hardware, software, AI, debugging and deployment.
AMD has introduced AMD Ross, an agentic AI assistant designed to accelerate the embedded development lifecycle, spanning hardware and software design, optimisation, debugging, AI implementation and deployment.
Purpose-built for AMD Embedded development environments, AMD Ross combines direct access to AMD tools, an AMD-validated Knowledge Base and expert-authored agent skills. The platform enables engineers to use natural language to search documentation, execute tool commands, generate code, troubleshoot errors and optimise designs.
Unlike generic AI coding assistants, AMD Ross is designed around the tools, methodologies and engineering knowledge used across AMD’s embedded portfolio. Its capabilities span hardware design and debug, embedded software and algorithm development, edge AI implementation and system-level design.
The platform brings together four core components: Model Context Protocol (MCP) servers that connect AI agents to AMD Embedded...
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