Google Cloud's new Rapid Storage solution introduces a zonal bucket within Cloud Storage that provides exceptionally fast data access, promising read and write latencies under one millisecond. This service is designed to benefit GPU and TPU applications by achieving throughput speeds of up to 6 TB per second, making it 20 times faster than conventional storage. Key Google figures noted that this innovation aims to improve AI model training and control by optimizing storage's proximity to computing resources, thereby addressing current limitations faced by traditional object storage systems. Rapid Storage is compatible with prominent AI frameworks and simplifies integration via Cloud Storage FUSE.
Google Cloud's Rapid Storage solution provides a zonal bucket for fast and consistent data access with latencies below one millisecond, significantly enhancing AI application performance.
This new storage class supports throughput speeds of up to 6 TB per second, making it 20 times faster than traditional options, ideal for GPU and TPU applications.
According to Google managers, the Rapid Storage approach looks to revolutionize the training and control of AI models, addressing the limitations of traditional object storage.
Unlike traditional Cloud Storage, Rapid Storage optimizes close proximity between storage and computing power, ensuring high efficiency in data access and operations.
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