Storage-optimized Z4M machine series are GA
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 throughput. Low latency access to data is equally critical to keep GPUs and TPUs fully utilized. Powered by the fifth-generation Intel Xeon Scalable processors and paired with the latest enhancements in Titanium, Z4M provides up to 168,000 GiB of Local SSD (LSSD) storage coupled with up to 400 Gbps of Cloud Remote Direct Memory Access (RDMA) networking. RDMA improves the performance of these demanding workloads by reducing data-access latency by up to 60% compared to TCP networking, so...
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