…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…
…and Run Models on AMD GPUs with Unsloth Train, fine-tune, run AI models with Unsloth on AMD GPUs across Windows, WSL and Linux, with native inference for leading models. July 20…
…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…
…locality, secure networking, Kubernetes orchestration, benchmarking, cost controls, and scale-out operations. Attendees will leave with a blueprint for running AI workloads that are fast, portable, and ready for production use.;AI…
…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…
…Hear how Microsoft and Chai AI built scalable AI infrastructure on Vultr using AMD Instinct GPUs and ROCm. Learn best practices for data locality, secure networking, Kubernetes orchestration, benchmarking, cost optimization, and…
…Bring your questions and our experts will provide answers! July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model…
…Engineered for performance, compatibility, and flexibility, AMD ROCm 7 delivers major enhancements in inference and training, supports many of the latest AI models out of the box, and extends the AMD open…
…personal AI workflows locally on a Ryzen AI PC How to connect local agents to frontier models deployed on AMD Instinct GPUs How to route tasks between local and cloud models based…
…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…