…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…
…Debugging for AI Workloads End-to-End Developer Workflows with AMD ROCm Software Autonomous Coding Agents for GPU Kernels Customizing Domain-Specific GenAI Systems AI in the Enterprise Building Scalable Enterprise AI…
Agentic Kernel Performance Tuning with AMD ROCm This session introduces an agentic kernel development workflow for optimizing AI and HPC workloads on AMD ROCm. Learn how a self-directing optimization loop can…
This session explores an AI-native GPU software stack for large-scale AI systems on AMD hardware. Learn how AI-assisted GPU programming, distributed training, optimized inference, memory expansion, and agentic deployment…
…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…
OpenJarvis is an open-source framework for building personal AI agents that run entirely on local devices. Motivated by the Intelligence Per Watt finding that local models already handle most real-world…
…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…
…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…
…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…
