Storage Resource Management is too complicated, doesn’t provide a complete enough view of the storage infrastructure, and is incredibly expensive. As a result, most organizations count on vendor tools to capture storage data. Then they manually consolidate that data in…
As the large enterprises look to the cloud to deliver agility and remove complexity and cost, data requirements and storage infrastructure often stands right in the way of achieving organizational goals. To get storage out of the way so IT…
High-Performance Computing (HPC) and scalable Artificial Intelligence (AI) workloads typically use parallel file systems to make sure that all the computing nodes in a cluster can directly access the data they need without being bottlenecked by control nodes. Organizations running…
Artificial Intelligence (AI) at scale raises the bar for storage infrastructure in terms of capacity and performance. It is not uncommon for an AI or machine learning (ML) environment to expect growth to dozens if not hundreds of terabytes of…
The StorageSwiss Report is a weekly discussion about hot trends and topics going on in the storage, cloud, and data protection markets. We don’t just cut & paste press releases. We provide insight as to why or why not the…
Artificial Intelligence (AI) and Machine Learning (ML) workloads are fundamentally different from any other workload. These workloads deal in data sets measured in dozens of petabytes of capacity, and large percentages of it can go from dormant to active at…
When designing a storage infrastructure for an artificial intelligence (AI) or deep learning (DL) workload, the default assumption is that an all-flash array (AFA) or something even faster must be at the heart of the design. The problem is as…
The modern data center is increasingly microservice or container-based. These workloads are dynamic and unpredictable. The datasets within these workloads range from thousands of large files to billions of small files. Artificial Intelligence (AI) and Machine Learning (ML) are being…
In our last blog we covered the challenges that AI at scale creates for storage infrastructures. To support the coming wave of AI applications, storage infrastructures need to deliver a tremendous amount of storage capacity with the ability to retain…
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) projects can all have varying types of data associated with them. Some projects consist of a relatively small number of huge files, and others have an incredibly high number of…
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