Google Cloud Launches Rapid Storage for Millisecond-Latency Workloads

Google Cloud has unveiled Rapid Storage, a new zonal bucket offering millisecond-latency for workloads requiring swift data access, with read and write latencies under 1 millisecond and a throughput capacity of 6 TB/s. This innovative storage solution, leveraging Google’s Colossus file system, enhances performance by co-locating storage with AI accelerators like GPUs and TPUs, making it particularly beneficial for AI and machine learning operations. The storage class is compatible with AI frameworks like TensorFlow and PyTorch via Cloud Storage FUSE, offering up to five times lower latency for random reads and writes compared to other providers. At the Google Cloud Next 2025 event, over 200 product announcements highlighted advancements in AI, infrastructure, and security, including the introduction of Gemini 2.5 Pro and Flash, aimed at optimizing developer workflows. Google Cloud also introduced enhancements for scientific research and compute innovations, such as H4D VMs for high-performance computing and the C4D VM series for general computing, powered by AMD's latest processors. Security solutions like SSOJet's API-first platform for secure single sign-on and user management were also featured, emphasizing seamless integration and compliance in cloud environments.