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Dell simplifies validation and supports rapid deployment of generative AI.
Using generative AI solutions in various locations
Dell and Meta join forces to help enterprises deploy generative AI on-premises.
Dell Technologies announced today that it is collaborating with Meta to enable easy on-premises deployment of its large-scale language model Llama 2 through Dell's GenAI portfolio of IT infrastructure, client devices, and professional services.
This collaboration aims to simplify on-premises AI environments by combining Dell's infrastructure solutions portfolio with the Rama 2 AI model suite. This will enable customers to more quickly deploy generative AI in on-premises data centers and edge environments. Dell will integrate Meta's Rama 2 models into its system sizing tool, enabling customers to leverage the optimal solution to enhance Rama 2-based AI capabilities.
Dell Validated Design for Generative AI with Meta's Llama 2 simplifies the deployment and management of on-premises projects with pre-tested and validated Dell infrastructure, software, and services. Documented build and configuration guidance enables organizations to quickly build generative AI infrastructure and operate Rama 2 with high predictability.
“By combining Metarama 2 with the broad range of Dell generative AI solution technologies and services, organizations of all sizes can deploy generative AI solutions across a variety of locations – from the desktop to the core data center, edge, and public cloud – using reliable tools,” the companies said.
Kim Kyung-jin, President and CEO of Dell Technologies Korea, said, “Generative AI can be deployed in various locations, but many companies are considering on-premises deployments due to data privacy, intellectual property rights, and security concerns.” He added, “By combining the Metarama 2 model with Dell’s generative AI portfolio, we expect that companies will be able to accelerate digital transformation and effectively apply data insights to their businesses by communicating broadly with customers and internal employees.”
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