…How do you shield AI training without sacrificing inferencing performance? Organizations are increasingly shifting workloads from model training to inferencing to support the increasing demand of agentic AI. By taking into account…
…By introducing AMD 3D V-Cache technology to select models, we’ve significantly increased cache capacity to accelerate data access and enable your end-users to achieve faster performance in complex, data…
…to model. The costs that are harder to quantify upfront are operational: how long it takes to bring a cluster online, how much manual tuning is required before the network performs reliably…
…HANDS ON - WORKSHOPS Build Real AI Systems Work directly with modern AI tools, frameworks, models, and production-ready development workflows. TECHNICAL DEEP DIVES Master Performance and Scale Learn practical optimization techniques for…
…AMD ROCm™ 5.7 Update: Unlocking Greater HPC and AI Compute Performance Discover AMD's ROCm™ 5.7, offering enhanced HPC & AI compute capabilities, support for hipTensor, and performance improvements for ML…
…As model sizes grow and AI deployments move into production, performance is determined not only by compute but also by how efficiently GPUs communicate, share data, and operate together as a unified…
…performance, and other system management functionality. Highlights of major release v5.2.1 This release introduces Set and Get operations for enhanced system management capabilities for AMD Family 0x1A and model 0x50…
…With platforms like AMD Ryzen™ AI Max+, models such as Qwen 3.5 122B can run locally with strong performance, supporting both single agent and multi agent workloads, signaling a shift from…
…For AMD, leadership in AI means more than delivering strong performance. It means showing up early, contributing to the standards that matter, and advancing a benchmarking model built on transparency, broad industry…
…While compute remains essential, increasingly it is the network that determines system performance. The speed and efficiency of data movement across GPUs, racks, and clusters now influences how fast models train, how…