Vibe Coding with Local Models
…July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains…
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Always-On Physical AI Applications with AMD Ryzen AI Software
…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…
Deploying Hermes Agent for Free on AMD Developer Cloud with open models and vLLM
Deploying Hermes Agent for Free on AMD Developer Cloud with open models and vLLM May 21, 2026 The AI agent landscape is evolving fast. Coding copilots and chatbot wrappers have their place…
AMD Primus: Train AI Models at Scale
…On AMD ROCm™ Core SDK Libraries | Compilers | Tools | Runtimes Learn More about ROCm.AI Performance Benchmarks Primus benchmarks show how customers can turn AMD Instinct™ GPU capacity into fast model development — scaling…
Introduction to Robotics with ROS2 on AMD
…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…
vLLM in 2026: challenges and Optimizations
…July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains…
Accelerating LLM Inference on AMD ROCm with AITER and ATOM
…July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains…
Training at Scale with AMD Primus
…July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains…
Ethernet Scale Up Networking for Next Generation AI Workloads.
…to-head benchmark data from third-party testing, discuss production-ready serving stacks on ROCm, and break down TCO for teams running multi-step agents at scale.;The agentic AI stack has…
Supercomputing for All: Bringing Exascale Innovation to Enterprise AI
…With agentic AI, the metrics for tracking success are even more complex. But benchmarks don't answer the question that actually matters: Should you undertake this effort and is it viable for…