Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. Shares of major memory and storage ...
SDxCentral

TurboQuant: Did Google just drop a compression algorithm capable of stemming RAMageddon?

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...
Business Wire

Qdrant Launches Groundbreaking Pure Vector-Based Hybrid Search, Setting Higher Standards for RAG and AI Applications

BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the leading high-performance open-source vector database, today announced the launch of BM42, a pure vector-based hybrid search approach that delivers more ...
SiliconANGLE

Qdrant launches pure vector-based hybrid search for more accurate AI data retrieval

High-performance open-source vector database Qdrant today announced the launch of BM42, a new pure vector-based hybrid search approach for modern artificial intelligence and retrieval-augmented ...
Investing.com South Africa

MU, WDC, SNDK fall: Why Google’s TurboQuant is rattling memory stocks

Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...
SiliconANGLE

OpenSearch revs up AI workloads with GPU-accelerated vector search

The popular open-source OpenSearch software that’s used by enterprises for data analytics and enhancing artificial intelligence workloads is getting a major update. The OpenSearch Software Foundation, ...
InfoWorld

Qdrant unveils vector-based hybrid search for RAG

Open-source vector database provider Qdrant has launched BM42, a vector-based hybrid search algorithm intended to provide more accurate and efficient retrieval for retrieval-augmented generation (RAG) ...
Semiconductor Engineering

Hardware Technologies And Algorithms for Vector Symbolic Architectures (Purdue Univ., Georgia Tech)

A new technical paper titled “Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration” was published by researchers at Purdue University and ...
VentureBeat

Open source vector database vendor targets enterprise AI costs with cloud update

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As generative AI usage has grown dramatically in the last several years, ...