Many organizations need a high-performance shared file system that they can access simultaneously from Linux and Windows, despite different permission models across the platforms. For example, a media and entertainment enterprise may render …
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Securely storing and authorizing access to data in the cloud is a top priority. One challenge faced by organizations is developing a consistent authorization experience to grant access to data for hybrid architectures. Workloads running on …
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Today’s demanding workloads such as database, rendering farm, analytics and ML workloads, have increasingly demanding IO requirements. These workloads need a reliable storage infrastructure that provides sufficient storage capacity, IOPS, …
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Building and testing software is a resource-intensive operation that usually involves a fleet of very powerful servers waiting in the wings for build jobs. With the rise of cloud native continuous integration/continuous development (CI/CD) …
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Lustre is a high-performance parallel file system commonly used in workloads requiring throughput up to hundreds of GB/s and sub-millisecond per-operation latencies, such as machine learning (ML), high performance computing (HPC), video …
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When I talk with customers about their file storage, I frequently get asked “How can I determine the right throughput capacity for my file storage?” The simple answer is through monitoring the performance of your workload to determine the …
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Amazon SageMaker provides a broad selection of machine learning (ML) infrastructure and model deployment options to help meet your ML inference needs. It’s a fully-managed service and integrates with MLOps tools so you can work to scale …
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New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combined with their flexibility, high speed of development, and low operating cost, these …
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