GPUryhmiä
GPUryhmiä is a Finnish term used in computing to denote groups or clusters of graphics processing units (GPUs) that are coordinated to carry out parallel workloads. The concept encompasses configurations where multiple GPUs work together to accelerate tasks, often far beyond the capability of a single GPU.
The term covers both homogeneous groups inside a single server (multi-GPU configurations) and larger distributed setups
Operational characteristics include the interconnect technology (PCIe, NVLink, or similar fabric), shared or distributed memory models,
Typical workloads include rendering, real-time ray tracing, scientific simulations, and training or inference of machine learning
Future trends involve higher bandwidth interconnects, unified memory models, and improved scheduling libraries to simplify scaling