SGLang is helping redefine what's possible in AI inference.
Join @ying11231, Co-founder & CEO of @RadixArk and Co-creator of @sgl_project, at Advancing AI.
As one of the fastest-growing open-source projects in AI infrastructure, SGLang is helping developers push performance, efficiency, and scalability for modern LLM deployments.
Hear directly from the people building the technology powering the next generation of AI applications.
📅 July 22-23, 2026
📍 San Francisco
Register now: https://t.co/nutaAFnljX?
#AMDevs #AdvancingAI
If you care about @PyTorch, @vllm_project, @sgl_project, and the systems that make inference fly, you’ll want to see this lineup.
Our first featured speakers for Advancing AI 2026 (Developer Track) are live:
🔹@matthew_d_white (@linuxfoundation / PyTorch Foundation)
🔹@ying11231 (@RadixArk / SGLang)
🔹@simon_mo_ (@Inferact / vLLM)
More speakers and hands-on sessions will be announced soon.
📆 July 22–23, 2026
📍 San Francisco
Register Now: https://t.co/j3NVeP39KR
#AdvancingAI #AMDevs
Standing room only for today's AMD @ Greens labs at @Microsoft Build 👀
Developers are getting hands-on with OpenClaw agents, video generation, reinforcement learning, and local AI workflows.
If you're at Build, stop by and join us for more workshops tomorrow.
#MSBuild#AMDevs
We're excited to partner with @hackclub on the Stardance Challenge, one of the largest STEM challenges for teens this summer.
From June 1 to September 30, students ages 13 to 18 worldwide will design, build, and ship real technical projects, earning rewards along the way. Top US participants will be invited to an in-person hackathon at AMD Advancing AI in San Francisco this July.
We're proud to support the next generation of builders alongside @NASA and @GitHub.
Know a teen who should be part of this? Send this to them: https://t.co/bYJ2UHb798
AMD Ryzen AI Max PRO 400 Series processors are coming to Ryzen AI Halo platforms in Q3.
Built to support a new class of local AI workloads, Ryzen AI Halo is designed for more agents running in parallel, more intelligence operating locally, and systems that reason and adapt in real time.
Meet AMD AI Developer Program Member Induwara Thenuka.
Induwara completed the AI Developer Learning Path from AMD AI Academy and learned how to build AI agents, train and fine-tune models, and run LLMs on AMD GPUs.
From his training, he built a multi-agent workspace using Ollama, where different AI agents work together to complete tasks. You can check out his project here: https://t.co/XVUoJOIqmP
He is looking forward to building more AI tools that people can actually use in daily tasks and automate things.
Want to be featured or recognized? Submit your projects here: https://t.co/joH6kCYi42
“Local AI puts AI builders back in the driver’s seat.”
@huggingface CEO @ClemDelangue on why local-first AI matters, and how AMD and Hugging Face are helping developers build faster with open-source AI.
AI tutorials are everywhere. The challenge is finding a structured way to focus on what matters first.
The AI Foundations learning path on AMD AI Academy helps developers explore AI, machine learning and GenAI concepts, while learning how to run and experiment with AI models on AMD platforms.
Explore all the learning paths we offer: https://t.co/SapSqfq2ih
We have been busy building and today we’re excited to share a new set of AI playbooks designed to help developers and builders get hands-on with local AI on AMD hardware.
These hands-on guides walk through:
→ LLM fine-tuning and PEFT workflows using Google Gemma-3 on AMD Radeon™ GPUs.
→ Building a local multimodal AI stack using Lemonade, supporting LLMs, vision, image generation, and speech via Open WebUI
→ Fast SFT workflows using LoRA on AMD hardware with Unsloth Gemma-4E4B and the FineTome-100k dataset.
→ Low-latency translation pipelines using AMD ROCm + PyTorch across Ryzen AI and Radeon GPUs.
→ Running GenAI locally with Lemonade and switch between Vulkan, ROCm™, and NPU execution modes
Whether you're just getting started or looking to push the boundaries of on-device AI, there's a playbook for you.
More coming soon, explore the full library and start building today: https://t.co/PJVYkQBO0o
Not every AI workload needs to live in the cloud. The future of AI is hybrid.
This blog explores the rise of “Agent Computers” and why developers are increasingly looking at local inference for better cost control, lower latency, and continuous AI workflows.
https://t.co/CHCqFRH5ym
Join us on May 26 in NYC for a panel discussion on what it really takes to deploy agents safely and reliably at enterprise scale.
We'll be joined by an incredible group of leaders and experts from @nvidia, @vercel, @AMD, and @alumniventures. You can expect practical insights, candid discussion, and networking with builders shaping the next generation of enterprise AI.
Space is limited so reserve your spot, today! 👇
https://t.co/LEsMwgKBOR
Learn what matters. Build what’s next.
AMD AI Academy brings together developer-focused learning across agents, LLMs, inference, optimization, deployment, and more.
Join the AMD AI Developer Program community and start exploring AMD AI Academy: https://t.co/CRwgEfiEW5