Getting the most out of premium-priced NVMe and SSD storage implementations in terms of utilization and supporting mixed workloads is challenging against a backdrop of continually fluctuating business requirements. Storage Switzerland’s Lead Analyst, George Crump, and Western Digital Product Manager,…
Workloads such as high-performance transactional databases, high-volume analytics, artificial intelligence (AI) and machine learning (ML) stand to unlock new value for the business, and non-volatile memory express (NVMe) promises to deliver on these levels of performance. However, deploying NVMe at…
Object Storage, because of its ability to cost effectively store petabytes plus of data, is often thought of as a digital dumping ground. While object storage is an ideal location for inactive data, customers aren’t deriving the full benefit of…
When the CPU needs data, the role of the storage system is to transfer information into main memory so the CPU can process it. The memory channels between the CPU and main memory is very fast and the number of…
Workloads, from a performance perspective, are polarizing. Many workloads have all their performance demands met by the typical all-flash array. At the other pole however is a group of applications that need more performance that what even NVMe based storage…
Almost every storage vendor that used to just make SAS-based all-flash arrays is now shipping an NVMe Flash Array. New storage vendors are emerging that are skipping SAS-flash altogether and are starting with NVMe systems. The question facing IT planners…
A common question from IT professionals is when is the right time to start purchasing NVMe Arrays over SAS-based All-Flash Arrays. The answer as always is, it depends, but as George Crump, Lead Analyst with Storage Switzerland discusses in this…
Previously, Storage Switzerland has discussed the value of computational storage, or adding compute power directly to storage media to enable data to be processed in place, in serving modern workloads – as well as its impact on future forward data…
Modern applications process large segments of data, often in parallel. These applications need to match patterns across a multitude of object and vectors or regularly update multiple indices as they change over time. Storage IO and network latency quickly become…
Artificial intelligence (AI) is becoming solidified as an important tool for competitive advantage, used by organizations of all sizes and across industries. Legacy network-attached storage (NAS) systems, however, are not equipped to provide the levels of throughput that these workloads…
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