Introducing Z4M: storage-optimized compute for AI/ML and parallel file systems
Today, we’re excited to announce the general availability of our next-generation Storage-optimized Z4M machine series in Google Compute Engine, available as both Virtual Machine (VM) and bare-metal instances. We built Z4M to provide storage for AI/ML training and inference workloads such as checkpointing, distributed key-value (KV) cache and parallel file systems — workloads that handle huge data volumes and require massive parallel data processing, as well as high storage and networking throug
