From the course: NVIDIA Certified Associate AI Infrastructure and Operations (NCA-AIIO) Cert Prep
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Cloud vs. on-prem - NVIDIA Tutorial
From the course: NVIDIA Certified Associate AI Infrastructure and Operations (NCA-AIIO) Cert Prep
Cloud vs. on-prem
An obvious debate you may have, whether I should host applications in my on-prem data center or should I leverage Cloud? What is the advantage of one over the other? We are not saying that Cloud is better or on-prem is better. It depends on what is your purpose. Let's talk about advantage of both. That can also be important for your exam perspective. Cloud versus on-prem, GPU infrastructure, what are the key advantages? Obviously, Cloud gives you the scale you are looking for. On-prem gives you the security. Let's talk about the aspect which we have. Key advantage of Cloud infrastructure is low cost barrier to entry. You want to perform a model training. You don't want to buy all the hardware. Go ahead in Cloud, deploy the nodes you need and pay only for the time you have used. Afterward, decommission it, bring your model back into On-prem and start it running there. Cloud infrastructure is having very low cost of entry. You don't have to own a data center and buy space, and get…
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Inside an AI-centric data center4m 4s
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Power usage effectiveness (PUE)5m 4s
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The compute power4m 24s
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CPU and GPU7m 11s
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CPU vs. GPU: Architectural difference2m 48s
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Beyond Moore's Law2m 35s
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Data processing unit (DPU)6m 44s
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Network inside an AI-centric data center4m 50s
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Network fabric4m 43s
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Ethernet vs. InfiniBand7m 5s
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Converged Ethernet (CE)2m 31s
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Storage inside an AI-centric data center4m 21s
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Cloud vs. on-prem4m 11s
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