WORKSHOP
Introduction to the ROCm AI Stack for Building Multimodal AI Applications (WS06)
Date: 07 October 2026 | Time: 03:30-06:00
Venue: Workshop Room 3, NIMHANS Convention Centre, Bangalore
FEES:
• Rs.99 for Leaders Pass holders
• Rs.169 for Professionals Pass holders
• Rs.249 for Knowledge Pass holders
• Rs.399 for Community++ or Student Pass holders
• Rs.499 for all others
(Limited seats available)
Modern AI applications combine models, serving frameworks, agents, and accelerator software into a complete stack. This hands-on workshop introduces AMD’s ROCm AI stack and demonstrates how to develop and run multimodal AI applications on AMD GPUs. Participants will gain practical experience using enterprise-class AMD GPU infrastructure through the AMD GPU Developer Cloud. During the workshop, attendees will create an OpenClaw-based AI agent, connect it to a model-serving stack powered by vLLM or SGLang, and explore the key components of modern AI systems. The session will also provide an overview of the ROCm ecosystem and highlight opportunities for developers, students, and technology enthusiasts to get involved through code contributions, testing, documentation, tooling, and community engagement.
Dr. Saiyedul Islam
Senior Member of Technical Staff, AI Group, AMD India
Aditya Sivagnanam
PMTS, Developer Application Engineer, AI Group, AMD India
- Introduction to the ROCm AI Stack
- Multimodal AI Applications on AMD GPUs
- AI Agents with OpenClaw
- Model Serving with vLLM and SGLang
- Contributing to the ROCm Ecosystem
- AMD Developer and Certification Programs
- Open-source enthusiasts
- AI and machine learning developers
- System programmers and software engineers
- Students and researchers interested in AI infrastructure and developer tools
Benefits/Takeaways of this workshop for the attendees (What will attendees do after attending the workshop which they were not able to do before attending this)
By the end of the workshop, participants will:
- Understand the architecture and key components of the ROCm AI stack
- Gain hands-on experience using enterprise-class AMD GPUs through a guided lab session
- Create and run a multimodal AI agent
- Integrate AI agents with model-serving frameworks such as vLLM and SGLang
- Understand how modern AI applications are assembled from multiple ecosystem components
- Discover opportunities to contribute through code, testing, documentation, tooling, and community engagement
- Learn how to get started collaborating with ROCm and related AI projects
- Explore learning resources and pathways towards the ROCm Certification Program
The workshop is open to all participants.
Helpful but not required:
- Basic programming knowledge
- Fundamental computer science concepts
- Introductory AI and machine learning concepts
- General familiarity with AI agents and large language models (LLMs)
No prior experience with ROCm or AMD GPUs is required.
About Speakers
Saiyedul Islam is a Senior Member of Technical Staff at AMD, where he works on compiler technologies, AI infrastructure, GPU programming models, and high-performance computing software. He holds a Ph.D. in High Performance Computing and Data Mining from BITS Pilani, Pilani Campus, and previously served as an Adjunct Faculty member in the BITS Pilani Work Integrated Learning Programmes (WILP) Division. His interests include AI systems, high-performance computing, compilers, and accelerator software for large-scale computing platforms.
Aditya Sivagnanam is a Principal Member of Technical Staff and Developer Application Engineer at AMD. He works with developers, researchers, and industry partners to accelerate AI and high-performance computing applications on AMD platforms, with a focus on GPU computing, AI frameworks, and modern accelerator technologies.