Moreover, by removing multiple layers of x86 hardware and networking from VAST’s network-attached Data Platform infrastructure, this new AI factory architecture dramatically reduces the cost ...

Cisco expands Secure AI Factory with Nvidia – New infrastructure adds VAST Data integration to speed up retrieval-augmented ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic ...

The path to enterprise AI maturity runs directly through data. To build AI-ready data platforms, you need architecture, governance, talent and organizational design.

CIOs who develop a competitive advantage through AI focus on the underlying IT infrastructure, and the right data foundations allow the business to shift rapidly as new opportunities emerge.

At the core of the Dell AI Data Platform’s architecture are specialized storage and data engines that help seamlessly connect AI agents to high quality enterprise data.

The concept of a data mesh has been around for a few years. At a high level, it’s a data platform architecture that allows users to access data without transferring it to one of two places: a ...

Today’s focus: Discussing the implications and details of this evolving data platform architecture.

A new alternative, called an “Intelligent Data Architecture Platform” (IDAP), is an approach that accomplishes this by unifying data and metadata, resulting in the faster development of data ...

The AI data layer must serve polyglot, multi-persona teams Traditional data platforms, which primarily served SQL analysts and data engineers, are no longer sufficient.

VAST’s DASE architecture features extreme parallelism such that each NVIDIA BlueField-3 can read and write into shared namespaces of the VAST Data Platform without coordinating IO across containers.

VAST’s DASE architecture features extreme parallelism such that each NVIDIA BlueField-3 can read and write into shared namespaces of the VAST Data Platform without coordinating IO across containers.