Playbooks are published as open guides on GitHub and cover end-to-end workflows, including: Environment setup and prerequisites Dependency and driver installation Running models locally on AMD hardware Building or extending a practical application
Launching AMD AI Playbooks: Step-by-Step Guides for Building with AI Locally with AMD…May 06, 2026 AMD and OpenAI Advance AI Networking at Scale with MRC AMD, OpenAI and partners advance AI networking with MRC—boosting scalability, resilience and real-world performance for large AI…
…Incorporating AI alongside audio and video processing pipelines into AMD platforms means organizations can monetize analytics, improve workflow efficiency and enhance usability. AMD AI Solutions AMD Vitis™ AI Software The AMD embedded…
…May 06, 2026 AMD and OpenAI Advance AI Networking at Scale with MRC AMD, OpenAI and partners advance AI networking with MRC—boosting scalability, resilience and real-world performance for large AI…
…ROCm™ 7.0 software and vLLM upstream optimizations. This deployment guide is designed for AI developers, system architects, and DevOps professionals who are building next-generation agentic workflows. By supporting the Qwen3…
…AI is reshaping work, not eliminating it Workforce skills half-life likely to shrink to 2–5 years AI agents are redefining UX, workflows, and roles Why layoffs without talent strategy backfire…
…As agentic AI activity grows, high-performance CPUs coordinate workflows, process and move data, and manage the many operations that occur around the model. While GPUs excel at the high-throughput parallel…
…To study disease, develop therapeutics, and engineer new biology, researchers need tools that can capture these interactions quickly, accurately, and at scale. That is where OpenFold3 and AMD Instinct™ GPUs come together…
…It consists of a rich set of AI models, optimized deep learning processor unit cores, tools, libraries, and example designs for AI at the edge and in the data center. AMD ZenDNN…
…As younger employees enter the workplace, expectations for intelligent tools and seamless experiences are rising. IT leaders already anticipate AI will significantly enhance productivity, communication, and personalization across everyday workflows—driving faster…
…from distributed training and inference to model compression and developer tools. Collectively, our sessions reflected a clear focus: enabling performant, efficient, and open AI development on AMD platforms using PyTorch. Key sessions…