Iris Coleman
Jul 30, 2026 15:12
AMD’s Advancing AI 2026 hosted 2,000+ builders, showcasing ROCm.ai instruments, workshops, and open-source developments for AI innovation.
AMD’s Advancing AI 2026 convention, held July 22–23 at San Francisco’s Moscone Heart, introduced collectively over 2,000 builders for 2 packed days of technical classes, workshops, and hands-on demos. The occasion underscored AMD’s ambitions to strengthen its place within the AI infrastructure market, showcasing new instruments like ROCm.ai and fostering collaboration within the open-source and developer communities.
The convention opened with a keynote from AMD CEO Dr. Lisa Su, setting a strategic tone for the classes. Fireplace chats that includes AI thought leaders coated matters starting from scaling AI techniques to optimizing inference efficiency. Curiosity was so excessive that many rooms couldn’t accommodate the crowds, with traces forming exterior totally booked classes. Throughout 16 technical talks, matters spanned fashionable AI frameworks, optimization methods, and next-gen workloads.
Key Bulletins: ROCm.ai and Certification Program
A serious spotlight was the launch of ROCm.ai, an AI-native developer platform constructed on AMD’s ROCm ecosystem. The device is designed to assist builders analyze, optimize, and speed up AI workloads on AMD {hardware}, spanning experimentation to deployment. In keeping with AMD, the platform goals to simplify AI growth and drive innovation by streamlining efficiency optimization workflows for its GPU and CPU product traces. Builders can discover ROCm.ai right here.
As well as, AMD introduced the ROCm Licensed Affiliate program, a structured coaching path for AI and high-performance computing (HPC) builders. This system contains hands-on coaching on ROCm fundamentals, AMD GPU structure, PyTorch workflows, and CUDA-to-HIP porting. The preliminary classes reached capability shortly, reflecting robust demand for AMD-focused AI experience.
Workshops and Actual-World Software Constructing
The occasion emphasised sensible studying by way of 44 hours of hands-on workshops. Builders labored with cutting-edge frameworks and instruments to construct AI functions from scratch. For instance, in “Construct Your OpenClaw Agent with Multi-Modal Fashions,” members paired open-source fashions with inference frameworks like vLLM and SGLang. One other session, “Constructing Hybrid Multi-Agent Techniques,” explored splitting workloads between AMD Ryzen AI-powered native units and AMD Intuition GPU cloud clusters.
Bodily AI and robotics have been additionally central themes, with centered workshops on deploying Imaginative and prescient-Language-Motion (VLA) fashions, optimizing imaginative and prescient kernels by way of ROCm, and constructing end-to-end robotics workflows utilizing ROS 2. Interactive demos, such because the “Mini Reachy” robotics show, highlighted the mixing of AI, laptop imaginative and prescient, and robotics on AMD platforms.
Open-Supply Collaboration
Open-source growth performed a distinguished function, with core developer meetups facilitating direct interplay between contributors and customers. Discussions revolved round frameworks, tooling, and the long run course of open-source AI ecosystems. This aligns with AMD’s technique to deepen its partnerships with cloud and AI software program organizations, positioning itself as a strong different to opponents like NVIDIA within the AI infrastructure market.
Takeaways and What’s Subsequent
Advancing AI 2026 demonstrated AMD’s rising affect within the AI area, not simply by way of {hardware} however by fostering a vibrant developer ecosystem. Attendees left with new expertise, certifications, and even AMD {hardware} prizes, awarded by way of the “Developer Quest” competitors. For many who couldn’t attend, technical talks might be uploaded to the AMD Developer YouTube channel.
Trying forward, AMD is constructing on the momentum with initiatives like the worldwide AI DevMaster Hackathon, which options tracks on multimodal AI, agentic AI, and bodily AI. As AMD continues to develop its developer ecosystem, its deal with sensible instruments like ROCm.ai and open-source collaboration might make it a severe contender within the quickly evolving AI infrastructure market.
Picture supply: Shutterstock