Intel Gaudi 3 AI Accelerators Now Available Through Dell AI Factory

May 20, 2025
Intel Gaudi 3 AI accelerators are now available via the Dell AI Factory, offering high performance and open-source flexibility for enterprises, as announced in a press release.

Intel Corporation has expanded the availability of its Gaudi 3 AI accelerators through the Dell AI Factory, announced in a press release. This collaboration introduces a fully validated end-to-end solution designed to simplify AI adoption, integration, and scaling for enterprises.

The Dell AI platform, featuring Intel Gaudi 3, combines high-performance hardware with an open-source software stack and Dell's infrastructure expertise. This platform is optimized for modern AI demands, including large language models and edge inference, while providing the flexibility and openness required by businesses.

Key features of the platform include the PowerEdge XE9680 server, equipped with eight Intel Gaudi 3 accelerators, 5th Gen Intel Xeon processors, and scalable storage and networking capabilities. The platform also supports popular frameworks like PyTorch and Kubernetes, offering developers a streamlined path to AI implementation.

The Dell AI platform with Intel aims to provide a scalable, open, and efficient solution for enterprises looking to accelerate their AI journey, ensuring long-term adaptability and avoiding vendor lock-in.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise 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 more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.