Enterprises pull AI workloads back on-premises as costs and threats mount
Enterprise infrastructure strategy is being rewritten around the private AI cloud, as security exposure, spiking hardware prices and rising token costs push artificial intelligence workloads back inside the data center. What started as a virtualization refresh has become the main event for on-premises computing. That shift has put platform consolidation at the center of enterprise […] The post…
Enterprise infrastructure strategy is shifting back to on-premises private AI clouds due to increasing security risks, rising hardware prices, and high token costs. Enterprises are moving their AI workloads back inside the data center to maintain control over their intellectual property and enhance security. Broadcom Inc. has been consolidating VMware's products into a single stack for three years, and customers such as United Airlines, Audi, and the London Stock Exchange are now using this platform.
The company combines the developer experience of public cloud with the security and cost control of private infrastructure. This convergence addresses the challenges posed by frontier models, memory economics, and sovereignty concerns. Broadcom has updated VMware's platform to withstand AI-era threats and has innovated in its core platform, including live patching.
The focus now is on making VCF the best place for running AI workloads, including security, runtime, and models.
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