“Emerging applications such as deep neural network demand high off-chip memory bandwidth. However, under stringent physical constraints of chip packages and system boards, it becomes very expensive to ...

An increasingly loud transformation has been reshaping how operations-heavy companies think about data infrastructure. In 2026, I believe it could fundamentally reshape three vendor categories. For ...

Built on Nvidia BlueField-3 data processing unit (DPU) technology, the architecture “makes it possible to disaggregate the ...

Acceldata is explaining how (in its view) the next era of data belongs to autonomous, hybrid-native, cross-lake (xLake) ...

Debate and discussion around data management, analytics, BI and information governance. DeepSeek’s recent developments have ignited significant discussion in the AI community. DeepSeek is very ...

The so-called modern data stack is getting a facelift and perhaps a complete body makeover. As the point of control shifts from the database management system to the governance layer, we cite three ...

The Graphcore disaggregated accelerator could be a game changer. I have recently finished a research paper looking into the data center architecture for deploying the Graphcore IPU-Machine, which is a ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...