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 AMDAccess to the industry-leading AMD [SR1] GPU hardware and software that delivers performance with ease of use. Reach a network of 62,000+ global developers, innovators, researchers, and industry practitioners who are eager to mentor, collaborate, and accelerate your journey. Build a working AI prototype in just 7 days. Grow confidence. Gain visibility, opening a broader ecosystem, and future opportunities. Learn through hands-on workshops and guidance from experienced mentors. A prize pool of $20,000, a Radeon ™ GPU, AMD Developer Cloud credits, and more.
Build Across the AI Stack: Join the AMD x LabLab.ai HackathonThe AMD AI Developer Program is a free program designed to help developers learn, experiment, and build AI applications on AMD technologies. Whether you're exploring AI for the first time or scaling advanced machine learning workloads, the program provides the resources, training, and community support needed to accelerate your development journey. As a member, you gain access to a range of exclusive benefits designed to help you move faster and build with confidence: Get Started Instantly: Receive $100 AMD Developer Cloud credits to launch GPU instances and experiment with AI workloads in the
The New AMD AI Developer Portal: The Ultimate Hub for AI DevelopersDevelopers and students getting started with AI ML engineers and researchers building models System engineers optimizing performance on GPUs Builders working on AI applications or agents
Build Across the AI Stack: Join the AMD x LabLab.ai Hackathon… May 12, 2026 Reimagining AI-Native Education Through Multi-Agent Interactive Classroom on AMD ROCm Reimagining AI-Native education to AMD ROCm: multi-agent classrooms across Instinct, Radeon, Ryzen AI with OpenMAIC May 11, 2026 AMD AI DevDay San Fransico Recap AMD AI DevDay 2026 in San Francisco fe… …
… May 12, 2026 Reimagining AI-Native Education Through Multi-Agent Interactive Classroom on AMD ROCm Reimagining AI-Native education to AMD ROCm: multi-agent classrooms across Instinct, Radeon, Ryzen AI with OpenMAIC May 11, 2026 Accelerating ComfyUI Workflows on AMD Instinct™ MI355X GPUs with ROCm —… …
… Each path includes curated tutorials, videos, and step-by-step guide designed to accelerate your AI projects. A Complete Ecosystem for AI Builders The AMD AI Developer Portal isn’t just a collection of tools, it’s a complete ecosystem for developers to learn, build, and collaborate. …
… May 21, 2026 From Build to Benchmark: ONNX Model Serving with Triton Inference Server on AMD GPUs — ROCm Blogs Step-by-step guide to building, deploying, and benchmarking ONNX models with Triton Inference Server and MIGraphX on AMD GPUs May 21, 2026 Accelerating LLM Startup on AMD Ryzen AI with Two… …
… Integration with existing tools and pipelines helped maintain continuity as the team transitioned workloads. This combination of accessible infrastructure and operational simplicity supported ACE Studio’s focus on building creative tools rather than managing cloud complexity. …
… Building an Australian AI future with AMD MC-2 and MCX will contribute to an Australian-built AI capability for regulated sectors. “At the end of the day, customers need us to be ahead of them,” Lemphers says. “We can do that because of our technical relationship with AMD.” That relationship has po… …
… The only way to shed the heat generated by electronics is to conduct it to radiators for heat dissipation. This unique constraint transforms performance-per-watt from a metric into a mandate that drives the architectural innovations making massive-scale AI in orbit a reality. …
… By taking into account both demands, organizations can build a network that can help with current and future AI workloads. Unified networking architectures that serve both AI model training clusters and inference workloads can simplify operations and reduce costs. …
… May 04, 2026 Build Across the AI Stack: Join the AMD x LabLab.ai Hackathon Invitation blog to Join AMD x LabLab.ai Hackathon April 29, 2026 Deploying vLLM Semantic Router on AMD Developer Cloud This post walks through the practical path: start the ROCm™ software backend on the AMD Developer Cloud i… …
… Developers Inference at Scale with Open-Source Frameworks Designing High-Throughput Inference Systems Inside vLLM for LLM Serving Optimizing CPU Inference on AMD EPYC Processors Maximizing GPU Utilization in AI Workloads Operating Rack-Scale AI Systems on AMD Helios Scaling Distributed Training wit… …