WhiteFiber Deploys DriveNets AI Fabric in New GPUaaS Data Center

WhiteFiber has implemented DriveNets' Network Cloud-AI in its new GPUaaS data center, enhancing AI infrastructure with high-performance Ethernet connectivity.

WhiteFiber has deployed DriveNets Ltd.'s Network Cloud-AI as the backbone of its new GPU-as-a-Service (GPUaaS) data center, announced in a press release. This deployment aims to provide high-performance AI infrastructure with superior GPU utilization and cost efficiency.

Located in Iceland, WhiteFiber's data center leverages DriveNets' Ethernet-based AI fabric to connect GPUs and storage, ensuring low latency and flexible scaling. The solution is designed to meet the demands of enterprise and hyperscaler environments, offering fast deployment and minimal fine-tuning.

DriveNets' Network Cloud-AI infrastructure has demonstrated improved collective communications performance, enhancing job completion times for WhiteFiber's customers. The deployment also supports multi-tenancy and multi-site cluster connectivity, addressing the needs of NeoCloud providers with lossless connectivity across multiple data center sites.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish like Silicon Brief.

Also, consider following us on social media:

AI Chips & Datacenters

AI Brief (X)

More from: Chips & Data Centers

CoreWeave Upsizes Senior Notes Offering to $2 Billion

May 21

Duos Edge AI to Launch Edge Data Center in Victoria, Texas

May 21

Crusoe and Partners Advance $15 Billion AI Data Center in Texas

May 21

OpenAI's Texas Data Center Secures $11.6 Billion for Expansion

May 21

Nota AI and DEEPX Partner to Advance On-Device AI Solutions

May 21

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.