VMware, Broadcom & the AI Push
Since acquiring VMware in November 2023, Broadcom has faced criticism over licensing policy changes. These include the ending of VMware’s free tier, reports of pressure on customers to renew or upgrade, and legal disputes over existing agreements, including those for perpetual licenses. These shifts have prompted some customers to explore alternative vendors like Nutanix, SUSE, and IBM.
Now, Broadcom is pushing VMware toward being “AI native.” The company announced at its VMware Explore conference that VMware Cloud Foundation (VCF) will come with new AI-oriented features. One of the headline outcomes is VMware Private AI Services, expected to ship with VCF 9 subscriptions. This service aims to provide all the essential tools for running AI on-premise or in environments outside hyperscaler clouds.
What “AI Native” Means in Practice
The expectations for this shift are ambitious. Broadcom intends to embed a model store, vector databases, indexing services, an “agentic” AI builder, and an API gateway for inter-model communication in VMware’s infrastructure stack.
In effect, the goal is to let organizations run AI workloads, potentially large language models, or smaller open-source ones, inside their own data centers, or at least closer to their legacy infrastructure footprint. This is significant. Many enterprises still use heavily virtualized, on-prem environments that are complex and difficult to migrate. Broadcom is banking on the inertia of those environments.
Risks, Tensions, and What’s at Stake
Modernizing VMware’s stack is not without perils. Deep integration of AI features into existing virtualization tools means the possibility of breaking changes. End users may suffer performance degradation, compatibility issues, or migration risks as Broadcom re-architects parts of VMware’s platform.
Moreover, customers are already sensitive to licensing and cost models. Shifts in what features are free, what’s paid, and how licensing works in AI components could trigger backlash, especially for businesses with long-standing VMware investments. The credibility of Broadcom’s promises may rest on whether these changes are incremental and reliable, rather than disruptive.
Why It Might Be a Good Bet
Even with the risks, there are compelling reasons why this direction could pay off for Broadcom.
Enterprises today are looking for simpler ways to deploy AI. Many firms are hesitant about cloud lock-in, data privacy, or latency issues. Being able to deploy AI models on-prem or in hybrid settings offers a level of control that is increasingly attractive.
Additionally, Broadcom is leveraging VMware’s existing installed base. Rather than trying to displace VMware, Broadcom seems to be enhancing it, potentially making customers more likely to stay rather than switch.
And finally, AI demand is increasing across infrastructure layers. From vector databases to agents to model orchestration, many parts of the AI stack are still emerging. If Broadcom can deliver solid, integrated tools at this level, it can capture value across multiple verticals, spanning infrastructure, operations, and developer tools.
Looking Long-Term
Broadcom’s path to an AI-native VMware is less about making headlines today and more about shaping the foundations for future enterprise infrastructure. The real value and risk lie in how reliably, transparently, and compatibly Broadcom can evolve VMware for AI.
If done well, this could mean VMware platforms that support AI workflows out-of-the-box, giving customers a smoother bridge between legacy virtualization, hybrid cloud, and AI-powered systems. If done poorly, it might erode trust, complicate licensing, and force some users to consider alternatives more seriously.
Final Thoughts
Broadcom is making AI a core part of VMware’s future. VMware Cloud Foundation will include built-in services and tools for deploying AI workloads closer to customer infrastructure. Customers, however, are wary due to recent licensing controversies and the costs and risks associated with migrating or upgrading.
The success of this strategy depends on careful engineering, minimal disruption, and transparent communication around cost and licensing. For the long term, Broadcom stands to benefit significantly if it can position VMware as the infrastructure backbone for AI in enterprise settings.
Maya Lindqvist is not a person. No notebook, no deadlines, no face behind the name — just a byline this newsroom publishes under. Here is the production line underneath it, because a name beside a portrait reads like a journalist, and this one is not one.
The models. Writing: gpt-5.6-luna and qwen3-max. Out on the live web: gpt-5.6-luna and gpt-5.6-terra. Pictures: gpt-image-1 and gpt-image-1-mini. Swap one in the newsroom and this line swaps with it — it is read off the machines, not typed here.
How a story is made
- Research. The searching model reads around the story, pointed at primary sources — the filing, the post, the repository — rather than at somebody else's write-up of them.
- Writing. The writing model drafts it against what was found, at Maya Lindqvist's usual length and in Maya Lindqvist's usual register.
- The loop. A reviewer reads the draft and sends it back with notes. Then reads it again. A piece can go round several times before it leaves the building.
- Enrichment. A quotation has to appear word for word on the page it is taken from. A chart may only use figures that appear in the source it cites. Whatever fails is dropped, and the reason is kept.
- Fact check. A last pass hunts for claims the article makes and its sources do not.
- A human stop. Sensitive subjects are held for a person to read before publication, and a person can kill any of it at any point.
If that sounds less like a newsroom and more like a factory: quite. It is called Press Factory.
This article was generated using AI and published automatically without human pre-publication review.
How this article was made
The article was produced by the Grandmonts Media News Engine using automated research, drafting and verification workflows. No human editor reviewed the article before publication. Grandmonts Media remains responsible for the published content. Errors can be reported at office@grandmonts.cz.