Digital transformation has created new product and service capabilities and untold additional yottabytes of data. It has become increasingly clear that data is a key creator of value. Take, for example, the realm of digital entertainment. For proof, just scan your monthly credit…Continue
Added by Paul Speciale on June 18, 2021 at 9:00am — No Comments
To repeat a commonly used adage, today every company is a technology company. Regardless of whether you are making computer chips or paper pulp, you are using technology, software and IT infrastructure to bring your…Continue
Added by Jacob Cherian on April 20, 2021 at 10:00am — No Comments
Added by Data Geek on April 7, 2021 at 3:30am — No Comments
Over the last decade or so, object storage use cases have evolved considerably as they replace traditional file and block use cases. Specifically the need to work with small data objects is becoming commonplace. Yes, there’s still plenty of large objects but small objects are becoming more prevalent than large for specific workloads and application environments.
Traditional object storage systems were designed for large objects that were infrequently accessed. With today’s…Continue
Added by Jonathan Symonds on December 23, 2020 at 1:55pm — No Comments
Milvus is an open-source vector similarity search engine powered by approximate nearest neighbor search (ANNS) algorithms such as Faiss, NMSLIB, and Annoy.
To make a vector search more intuitive and easy to use, we introduced TableFile and metadata in Milvus.
In this article, we will mainly describe how vector data are recorded in the memory of Milvus, and how these records are maintained.
Below are our main design goals:
Added by Kate Shao on July 29, 2020 at 10:32pm — No Comments
Added by Kate Shao on June 8, 2020 at 11:27pm — No Comments
There are two forces that are fundamentally remaking the technology landscape today. One is Kubernetes and the other is high performance Object Storage. They are powering (or are shaped by, depending on your perspective) modern, data-rich applications that include AI/ML and application logs. Either way, modern applications need Kubernetes and Object Storage and Kubernetes and Object Storage owe their rise in part to these same modern applications.
They are symbiotic and they are…Continue
Added by Jonathan Symonds on February 14, 2020 at 10:16am — No Comments
Enabling cost-effective terabyte main memory along with third-party observations of a “profound” change in storage, Intel® Optane™ DC persistent memory modules change the way we think about memory capacity, tiered memory, out-of-core algorithms, storage speed, and essentially what we can do on a computational “fat node” and with persistent storage.
With a growing ecosystem of more than 50 OEMs, ISVs and cloud service providers are exploring what is possible given the touted three-fold…Continue
Added by Rob Farber on July 8, 2019 at 1:51pm — No Comments
Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide direct support for converged clusters to run key HPC-AI-HPDA (AI, HPC, and High Performance Data Analytic) workloads.
The success of workload optimized compute servers has created the need for converged clusters as organizations have generally added workload optimized clusters piecemeal to support their disparate AI, HPC,…Continue
Added by Rob Farber on July 1, 2019 at 8:52am — No Comments
In my previous blog on the Hopscotch and Robots simulation environment, I discussed the use of structural data extracted from hypothetical and real-life organizational events. In the current blog, I will be briefly covering conceptual issues more focused on the nature of the structural data itself including its theoretical significance.
Structural data holds information about the relationship between events.…Continue
Added by Don Philip Faithful on January 18, 2015 at 8:10am — No Comments