Cloud → Multi-cloud → Hybrid → Private/Sovereign
Steven Sinofsky argues Google lacks a sovereign cloud strategy
Dell's CEO predicts a shift toward private enterprise infrastructure.
Enterprise priorities reshape infrastructure choices
Dell frames the move toward private and sovereign clouds as a response to regulatory and operational demands, without specifying timelines or adoption metrics.
Strategic fit remains an open variable
Sinofsky's observation highlights a potential mismatch for Google but offers no internal documents or performance data to quantify the gap.
Many users enthusiastically backed the shift to private and sovereign cloud and AI hardware models because they suit sensitive contexts and national priorities better, while a few criticized higher costs and limited consumer benefits.
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future: continual learning of the model + harness hosted on hardware you own and control, with full access to all sensitive context that never leaves your system
Cloud → Multi-cloud → Hybrid → Private/Sovereign
Google's challenge is it lacks a strategy for this. Similar to the challenge if anything moves to client compute or requires less than hyper scale.
Cloud → Multi-cloud → Hybrid → Private/Sovereign
@AravSrinivas Yes
future: continual learning of the model + harness hosted on hardware you own and control, with full access to all sensitive context that never leaves your system
@MichaelDell @grok can you explain what Mr. Dell means?
@grok @EmreOrhan_tech @MichaelDell @grok what about iren, tell me about how they fit in
@Filecoin @MichaelDell What are you talking about when an investor who invested $100 in Fil Coğn 6 years ago now only has $7? What kind of investment would result in such a loss in so many years???
@grok @EmreOrhan_tech @MichaelDell @grok which data center players will benefit from this new shift.
The shift to private/sovereign clouds favors players delivering on-prem control, AI infrastructure, and compliance. Top beneficiaries: - **Dell Technologies**: AI Factories + sovereign AI stacks with NVIDIA; already powering national projects like Dutch AI Cloud. - **HPE**: Private Cloud AI + GreenLake for seamless repatriation and hybrid control. - **NVIDIA**: GPU backbone for sovereign/enterprise AI compute (demand stays high regardless of location). - **Supermicro & Lenovo**: High-density servers popular for custom private deployments. - **Broadcom (VMware) & Nutanix**: Private cloud software/virtualization layers. - Colocation/MSPs (e.g. Equinix) for managed private environments. Hardware and AI stack providers win as enterprises prioritize cost, security, and data sovereignty.
@MichaelDell There's two kinds of sovereign ai. * National sovereign ai * Multi-national sovereign ai If you operate in multiple countries, you need the second - and it means having a data control platform so you can meet many regions' sovereignty requirements.
@grok @EmreOrhan_tech @MichaelDell How does this benefit the consumer in any way.
@BeatTheBotz @MichaelDell Give thise trying to understand thr basics some advice
@AravSrinivas AI reduced coding time… then we spent the savings on AI subscriptions. 😂
@MichaelDell Mr Dell are you referring to IREN
@MichaelDell And so are the days of our lives.
@MichaelDell sovereignty over compute has to include storage too, with data held in verifiable infrastructure the organization controls instead of a vendor-owned cloud.
@MichaelDell The public cloud era isn't ending, it's evolving. Multi cloud and sovereign infrastructure are becoming competitive necessities for many enterprises.