… That pricing model works well for flexible, on-demand access to frontier AI, but it also means that sustained agent workloads can become costly as token usage grows. Consider a local AMD Ryzen™ AI Halo system running a cloud-grade model workflow at sustained utilization. …
… July 23, 2026 Agentic AI Workflows Simplified Rocm.AI simplifies how developers build and serve with ROCm on AMD GPU’s July 23, 2026 AMD Launches Helios™: The Highest Performing Rackscale AI Infrastructure Solution AMD launches Helios, an open rack-scale AI platform connecting 72 AMD Instinct™ MI45… …
Advancing Local AI with AMD Generative AI is moving beyond the cloud, enabling faster, more private AI experiences on local devices. Discover how AMD Ryzen™ AI MAX and Radeon™ R9700 technologies in the compact AMD Ryzen™ HALO form factor power high-performance AI development locally. …
… It is now something developers can build, train, and run locally,” said Jack Huynh, SVP and GM, Computing and Graphics Group. “With the Ryzen AI Halo and Ryzen AI Max PRO 400 Series, we are delivering the performance, memory, and open AI software stack that developers and enterprises need to bring … …
… The result is a competitive long-context, Apache 2.0 model, proving the full train-to-RL loop runs effectively on AMD. July 23, 2026 HP & AMD Co-engineering Local Compute for Agentic AI As AI workloads explode, a cloud-only approach creates friction in data movement, latency, cost, and security. …
Vibe Coding with Local Models This is an intermediate level class to learn how to harness the on-device power of the AMD Ryzen AI Max 395 to run large coding models locally using Lemonade Server — no cloud, no API keys, all local Learn how to architect specialized AI agents with Qwen Coder and watc… …
… Featuring up to 128 gigabytes of unified memory and support to run local models with as many as 200 billion parameters, Ryzen AI Halo delivers a platform for building, testing and deploying AI applications while keeping workflows on the PC. “With Ryzen AI Halo now shipping, developers have a powerf… …
… July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance AI benchmarking is evolving rapidly as enterprises scale from experimentation to deployment. This interactive session explores measuring real world performance across inference and training workloads. …
… July 22, 2026 4:50 PM - 5:10 PM PDT VMware Founders Professor of Computer Science | Stanford University Domain-Specific AI at Scale: Open Models, Post-Training, and AI Infrastructure Learn how domain-specific AI moves beyond generic models using post-training, domain evals, and scalable open infras… …