The growing context lengths of large language models (LLMs) pose significant challenges for efficient inference, primarily due to GPU memory and bandwidth constraints. We present RetroInfer, a novel ...

One way of viewing efforts by storage suppliers to move into data management over the past couple of years is that storage technology is emerging from the backroom and wants to be at the centre of ...

Abstract: The three-direction magnetization intensities of a source can be obtained by the magnetization vector inversion (MVI) of magnetic data, and therefore, MVI can be well applied to a magnetic ...

Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations of ...

Elastic (NYSE: ESTC), the Search AI Company, announced DiskBBQ, a new disk-friendly vector search algorithm in Elasticsearch that delivers more efficient vector search at scale than traditional ...

Hard-drive lead times have gone from a few weeks to more than a year due to AI demands, and enterprise flash storage prices are expected to rise with surging demand. After GPUs, storage capacity has ...

The Age of AI will rely on massive volumes of data that can be easily stored and retrieved—and bioscience may have an ingenious solution. A scientist examines a DNA (deoxyribonucleic acid) profile on ...

J.P. Morgan, Blackstone and other financial giants are buying “industrial outdoor storage,” sites vital to logistics, trade and the construction of data centers. By Patrick Sisson Gray, a construction ...

Several Vector Capital limited partners such as Adams Street Partners, J.P. Morgan Asset Management, the External Investing Group at Goldman Sachs Asset Management, Angeles Investments, Lexington ...

Accelerates growth strategy to capture the expanding global opportunity in enterprise AI under Vector’s majority ownership SAN FRANCISCO–(BUSINESS WIRE)–SingleStore, Inc. (“SingleStore” or the ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

This repository contains the MATLAB source code and associated data files to support the findings of the paper: [To be included upon publication]. The code facilitates the simulation, analysis, and ...