A new whitepaper from NEC X delves into the world of unstructured data and explores how vector processors and their optimization software can help solve the challenges of wrangling the ever-growing ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

The computing industry has reached a significant milestone with the ratification of the 1.0 RISC-V Vector Specification. This development marks the beginning of a new era in computing efficiency, as ...

Vector database offers on-prem, cloud-native, or SaaS deployment, leading performance, a rich set of integrations and language drivers, and a dizzying array of optimization options. Efficient ...

IBM worked with Nvidia and Samsung to demonstrate a content-aware storage (CAS) system that can hold a 100-billion-vector database on a single server, work targeted at making retrieval-augmented ...

Storage optimization technologies like compression and deduplication have reduced the capacity requirements of many processes within the data center, most noticeably backup. When these data sets need ...

Amazon Web Services (AWS) has announced vector storage for its S3 cloud object storage – S3 Vectors – in a move it claims will reduce the cost of uploading, storing and querying vectorised data in AI ...

This whitepaper from NEC delves into the world of unstructured data and describes some of the technologies, especially vector processors and their optimization software, that play key roles in solving ...