In 30 seconds
Neil Tiwari suggests that some large companies may build dedicated AI infrastructure and discusses financing, operations and power. His view does not establish that public cloud will end.
- 1Workload controlSome large users may prefer dedicated infrastructure.
- 2Building and financeOn-premises facilities require capital and operating plans.
- 3Power constraintsTiwari highlights flexibility and storage.
Takeaways
- Dedicated facilities may appeal to some large compute users.
- Building and operating them requires capital and planning.
- Grid flexibility and storage can matter.
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Dedicated AI infrastructure
Neil Tiwari discusses NVIDIA’s concept of AI factories and compares dedicated infrastructure with large cloud environments.
Neil Tiwari discusses NVIDIA’s concept of AI factories and compares dedicated infrastructure with large cloud environments.
He suggests that some companies with substantial compute needs may want dedicated infrastructure for workloads they can control.
Facilities and power
Tiwari describes questions about financing, building and operating facilities on company premises. This is a view about an emerging option, not proof that public cloud will disappear.
Tiwari describes questions about financing, building and operating facilities on company premises. This is a view about an emerging option, not proof that public cloud will disappear.
He adds that making grid power usable for these facilities involves flexibility and storage.
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