Abstract: Update-intensive workloads are prevalent in contemporary OLTP and AI/ML scenarios. An update operation typically involves deleting the old version of the target record and then inserting a ...

There are challenges and solutions for processing AI workloads on-device to achieve consistent performance, reduce costs, and ...

The team behind Google Kubernetes Engine (GKE) revealed that they successfully built and operated a Kubernetes cluster with 130,000 nodes, making it the largest publicly disclosed Kubernetes cluster ...

The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.

A new agentic browser attack targeting Perplexity's Comet browser that's capable of turning a seemingly innocuous email into a destructive action that wipes a user's entire Google Drive contents, ...

Nvidia controls around 90% of the AI accelerator market, but that dominance may have peaked. Alphabet's TPU chips offer significant cost advantages for inference workloads, which are growing faster ...

For lab workload, it is better to look at it by lab - but be able to see which country (and burden) the lab is serving.

The internet makes connecting with old friends and acquaintances easier than ever, but it also exposes personal information to advertisers, scammers and potential criminals. Hundreds of websites have ...

Amazon EC2 Trn3 UltraServers powered by AWS's first 3nm AI chip help organizations of all sizes run their most ambitious AI training and inference workloads. As AI models grow in size and complexity, ...

MaksIT.CertsUI is a powerful, container-native ACMEv2 client built to simplify and automate the entire lifecycle of HTTPS certificates issued by Let’s Encrypt. It is an independent, unofficial project ...