Hitachi Vantara Launches EverFlex AI Data Hub as a Service
Hitachi Vantara has launched the EverFlex AI Data Hub as a Service, a comprehensive solution aimed at simplifying AI data preparation and integration. Announced in a press release, this new offering provides a modern data lakehouse with integrated workbench capabilities for AI, business intelligence, and data operations.
The EverFlex AI Data Hub as a Service is designed to address the challenges of managing distributed data landscapes by offering a fully managed infrastructure consumption service. It allows organizations to access data from various platforms, including on-premises, private cloud, hybrid cloud, and public cloud, thereby reducing the cost and complexity associated with AI data preparation.
Built on the Virtual Storage Platform One (VSP One), the service enhances data completeness, accuracy, and compliance by integrating data in real-time without duplication. It also emphasizes data governance and quality at the source, facilitating rapid AI and machine learning deployment to accelerate data pipelines.
The service combines Hitachi's EverFlex STaaS, VSP One, and iQ technologies with Cisco-powered hybrid cloud solutions, providing a unified platform for AI, BI, and data operations. This integration aims to empower organizations to manage AI workloads efficiently, offering security, control, and cost savings through hybrid cloud infrastructure.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 25 Stagwell and Palantir Expand Enterprise AI Marketing Partnership Oct 24 OpenAI and ICBA Bring Daybreak Cybersecurity Tools to Community Banks Oct 24 Meta acquires AI data analytics startup Sundial Oct 23 Boehringer Ingelheim and Microsoft to Study Digital Patient Twins Oct 23 Infosys AI Revenue Grows 29% in Second QuarterEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Vertiv Releases Enterprise AI Infrastructure Guide
Scality Launches AI Inference Factory for On Premises Deployment
NTT DATA Business Solutions Launches Elevate for SAP Transformations
Precisely Introduces Unified Data Management Platform for AI
Cognizant Launches AI Nexus to Track AI Costs and Quality
Daily AI Brief: the AI news that matters, in your inbox.