Democratizing Managed Lustre with lower cost and frictionless development
This is the first of a two-part series exploring how Google Cloud is bringing the foundational values of a high-performance parallel filesystem–TB/s throughput, sub-ms latency at high client scale, and POSIX support–to a broader set of use cases and users.
Historically, due to the cost and special purpose nature of parallel filesystems, colder data had to be stored outside of the filesystem and AI developers have had to maintain separate, slower environments for writing code, compiling libraries, and managing repositories. This fragmentation increases the toil of manual data staging, dataset copying, and managing disjointed namespaces.
Google Cloud Managed Lustre is solving these problems through our 6 cents/GB*month Dynamic Tierand by optimizing Managed Lustre performance for a range of development tasks and workloads – making Managed Lustre a “One-Stop Shop” for high-performance AI and HPC workloads.
Lower Cost: More Lustre for Less with the Dynamic Tier
The Managed Lustre Dynamic...
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