Dell and NVIDIA join forces to simplify AI enterprise data center solutions
As AI takes the centerstage to new business ideas and powering data science needs, IT departments need to deploy AI at scale with powerful turnkey solutions necessary for easy design, deployment and support. Here’s how Dell and NVIDIA are joining forces to deliver this.
The AI revolution is well underway as more organizations have begun integrating AI augmented products, services and supply chains to facilitate new business ideas and powering data science needs. This has left IT departments scrambling to try and deploy AI at scale, but they need powerful turnkey solutions necessary for easy design, deployment, and support.
As powerful as the NVIDIA DGX-1 supercomputer is, for entire organizations to take advantage of AI would require deploying AI processing power at scale in their respective data centers. Just like the NVIDIA DGX-1 is fast becoming the AI compute standard, the NVIDIA DGX POD is an IT-standardized approach to infrastructure that enables data science teams to train bigger models and datasets that incorporate more features. This provides greater predictive capabilities that deliver enhanced business value across three key areas:-
- People: Bring line of business experts (vs. silos) to create an AI talent pipeline and centralize knowledge.
- Process: Consolidation of experience helps businesses accelerate their ability to go from AI ideation to proof-of-concept production.
- Technology: Centralization of infrastructure helps IT departments develop and deliver IT standards for AI computing that ensure best performance, productivity, and efficiency.
Using the best design practices of the NVIDIA DGX POD, the powerful combination of Dell EMC Isilon storage and multiple NVIDIA DGX-1 compute clusters, the data center IT now has a trusted, proven solution provider to get AI deployed faster and at scale.
First test-driven with industry benchmarks in January 2019, the Dell EMC Isilon with NVIDIA DGX-1 is now available.
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