…Tighter models, faster results, better economics with AMD Instinct GPUs “With smaller models, you control how many parameters go in and what the architecture looks like,” researcher Lukas Wesemann says. “They become…
…model Xiaomi has ever built, running natively on AMD Instinct™ GPUs. This technical blog presents a Day 0 deployment walkthrough for Xiaomi’s brand new MiMo model on the AMD Instinct GPU…
…storage, and security services at cloud scale—with minimal latency, jitter, and power requirements. They help offload infrastructure services, free up precious CPU cycles, and enhance security for the modern data center…
…AMD GPUs across on-premises and cloud environments. This session shows how CVS Health uses a vLLM-based Semantic Router to direct workloads across AMD MI350p, MI350x, and hosted models to optimize…
…call-and-response single outputs and questions like which GPUs to use, how much accelerator memory they need and which models they’d like to run. All of these are important factors…
…Unite Multiple GPUs Into One System The largest models exceed the memory and compute of any single GPU and must be distributed across many. To run efficiently, those GPUs cannot behave as…
…Unified AI Systems UALoE and tightly coupled software enables a scale-up domain where many GPUs act as one compute resource, with high-bandwidth networking supporting tensor parallelism, large models, and resilient…
…Purpose-built for large model training, fine-tuning, and high-throughput inference on AMD Instinct™ GPUs with up to 192GB of HBM3 memory. Scale without borders: Scale instantly with thousands of GPUs…
…detection, and generates LLM-drafted clinical reports on AMD Instinct GPUs. Then customize: swap the LLM AIM, reuse an existing model endpoint, or extend the pipeline for your specific clinical workflow.;Build…
…detection, and generates LLM-drafted clinical reports on AMD Instinct GPUs. Then customize: swap the LLM AIM, reuse an existing model endpoint, or extend the pipeline for your specific clinical workflow.;Build…