Google Compute Engine has launched its next-generation Storage-optimized Z4M machine series. These instances are available as both virtual machines and bare-metal options. Z4M is designed for demanding AI/ML training and inference workloads that process massive datasets. It offers significant Local SSD storage, up to 168,000 GiB, and high-speed 400 Gbps Cloud RDMA networking. This configuration minimizes data access latency, crucial for keeping GPUs and TPUs fully utilized. Z4M VMs provide scalable LSSD capacity per vCPU, while bare-metal instances offer direct hardware access for specialized needs. Powered by Intel Xeon Scalable processors and enhanced Titanium SSDs, Z4M delivers impressive IOPS and throughput improvements over previous generations. The platform supports NVIDIA GPUDirect Storage and TPUDirect Storage for efficient data transfer. Cluster Director facilitates easy deployment and management of Z4M clusters. Z4M instances also integrate with Google Cloud's Hyperdisk for flexible network-attached storage options. These new instances are available now in select regions worldwide.