technology

Optimizing PyTorch Machine Learning Cost and Performance Using cunoFS

Optimizing PyTorch Machine Learning Cost and Performance Using cunoFS

Performance and cost are important considerations when designing and implementing machine learning (ML) systems at scale. The speed and efficiency with which you can train your ML models and extract the maximum value from your data will determine the overall success of your project. Data loading is one of the biggest performance factors in the …

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Is POSIX Outdated in the Cloud Era?

POSIX — the Portable Operating System Interface — is the standard API used by UNIX and conforming non-UNIX (including Windows) operating systems to maintain compatibility with each other. The POSIX standard allows applications written for one operating system to work on others with minimal-to-no reworking depending on the other APIs required, greatly reducing the complexity …

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cunoFS is a High Performance POSIX Layer for Object Storage

Implementing cost-effective, scalable storage has traditionally presented problems to developers. While object storage is cheap and scalable, it requires that existing tools be adapted to work with cloud providers' APIs rather than the filesystem.  Historically, tools that bridge the gaps between object storage and POSIX environments have suffered limitations — particularly poor performance, scalability, or the …

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