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Dell Technologies and Meta to Drive Generative AI Innovation with Llama 2 On-Premises
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Dell Technologies is collaborating with Meta to make it easy for Dell customers to deploy Meta’s Llama 2 models on premises with Dell’s generative AI (GenAI) portfolio of IT infrastructure, client devices, and professional services.

“Generative AI deployments can span multiple locations and we see many organisations prioritising on-premises solutions—given critical considerations related to data privacy and security of IP, as well as the impact of data gravity,” said Chris Kelly, Senior Vice President, Data Center Sales, Asia Pacific and Japan, Dell Technologies.

“The integration of Meta’s Llama 2 models into Dell’s generative AI portfolio will help organisations accelerate their digital transformation, enhancing how they engage with customers, employees and the market more broadly to turn valuable insights into action.”

Open-Source GenAI Fuels Innovation On-Premises

The collaboration simplifies the on-premises AI environment by bringing together Dell’s top-selling infrastructure portfolio and the Llama 2 family of AI models. Customers can accelerate their GenAI efforts on premises in a traditional data center or at edge locations. Dell has integrated Meta’s Llama 2 models into its system sizing tools to help guide customers to the right solution to power their Llama 2 based AI efforts.

The Dell Validated Design for Generative AI with Meta’s Llama 2 provides pre-tested and proven Dell infrastructure, software and services to streamline deployment and management of on-premises projects. With fully documented deployment and configuration guidance, organisations can get their GenAI infrastructure up and running more quickly and operate Llama 2 with more predictability.

With Meta’s Llama 2 and the breadth of the Dell Generative AI Solutions technology and services portfolio, organisations of all sizes have access to more reliable tools to deliver GenAI solutions from desktops to core data centres, edge locations and public clouds.

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