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PowerScale and SuperPOD: Dell and Nvidia certification spotlights growing role for storage and Ethernet in AI deployment
- Dell Technologies Inc.’s recent certification of its PowerScale portfolio for Nvidia’s DGX SuperPOD highlights key advancements in AI infrastructure that are transforming the way organizations deploy enterprise AI.
- Dell’s PowerScale drives AI workloads by enhanced its architecture to handle concurrent AI workloads and facilitating connectivity of NFS protocol transfers over RDMA to Nvidia’s DGX platforms.
- Ethernet AI architecture for networking fabric forms the basis of high-performance connectivity between Dell’s PowerScale storage and Nvidia’s DGX SuperPODs.
- PowerEdge/SuperPOD certification of PowerScale drives a range of prospective use cases such as real-time analytics and insights for produce growers and helped manufacturers scale-out network attached storage for high-performance computing.
- The combined PowerScale/SuperPOD functionality could be especially helpful in the healthcare industry, particularly those that involve fine-tuning and training large language models (LLMs), vision models and healthcare-related AI workloads.
- The high-performance and secure multi-tenancy features make this integration particularly attractive for service providers offering GPU-as-a-service, where the flexibility to handle diverse AI workloads is paramount.
- Dell could be positioning itself to help enterprise IT shops seeking to run high performance computing on-premises with Project Lightning.
- Hybrid AI could accelerate the shift to run high performance computing on-premises.
- TheCUBE is a paid media partner for the Dell Making AI Real With Data event.
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