Storage vendors orbit the Nvidia sun at GTC

GTC Hitachi Vantara and Nutanix announced support for Nvidia’s new GPUs and software at GTC 2026, much like every other ...
InfoWorld

Update your databases now to avoid data debt

End-of-life dates loom for MySQL 8.0, PostgreSQL 14, Redis 7.2 and 7.4, and MongoDB 6.0 in the coming months. It’s time to ...

Nvidia BlueField-4 STX adds a context memory layer to storage to close the agentic AI throughput gap

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage ...
InfoQ

Google BigQuery Previews Cross-Region SQL Queries for Distributed Data

Google Cloud has recently announced the preview of a global queries feature for BigQuery. The new option lets developers run SQL queries across data stored in different geographic regions without ...
EDN

Last-level cache has become a critical SoC design element

As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...
GitHub

thangchung/semantic-caching-demo

A production-ready semantic caching system built with .NET 10, implementing intelligent response caching using vector embeddings and cosine similarity. This project demonstrates the integration of ...
GitHub

A high-performance, distributed in-memory cache library for Go that synchronizes local LFU/LRU caches across multiple service instances using Redis as a backing store and pub ...

The distributed-cache library uses a two-level caching architecture with local in-process caches synchronized via Redis pub/sub. When a pod sets a value, it's stored locally and in Redis, then ...
IEEE

DOJS: A Distributed Online Joint Scheme to Optimize Cost in Mobile Edge Networks

Abstract: Edge computing deploys computing and storage resources at the network edge, thereby providing services closer to terminal users. However, in edge networks, the mobility of terminals, the ...
IEEE

An Improved Distributed SpMV with Cache-Aware Optimization and Load Balancing

Abstract: Sparse Matrix-Vector Multiplication (SpMV) is a critical operation in scientific and high-performance computing, playing a key role in large-scale numerical simulations. Handling extremely ...