The conventional narrative around Nvidia has always been about raw compute — faster GPUs, bigger clusters, deeper moats. But look past the chip specs and a more profound shift is under way. The company is no longer content to just sell the shovels in the AI gold rush; it is now designing the entire mine, the ventilation system, and the safety protocols. Two developments in quick succession — Apple’s first embrace of Nvidia silicon in years and a sweeping new enterprise adoption programme — reveal how Nvidia is rewriting the rules of engagement for the entire AI industry.
An Apple endorsement with a twist
On its developer conference WWDC, Apple confirmed that its upcoming Apple Intelligence cloud infrastructure would run on Nvidia’s Blackwell B200 GPUs. The new Siri, powered by a 1.2-trillion-parameter model based on Google Gemini, will be hosted on Google Cloud servers equipped with Nvidia hardware. It marks Apple’s first use of Nvidia chips in years — a notable reversal given the pair’s historically frosty relationship.
But the real headline is not the hardware sale; it is the security architecture that made it possible. Apple vice president Amar Subramanya said the company worked with both Google and Nvidia to expand its private-cloud infrastructure on Nvidia GPUs while upholding data privacy standards. His colleague Sebastian Marineau-Mes added that Nvidia’s confidential‑computing technology was the enabler that satisfied Apple’s stringent requirements.
Here is how it works: user queries leave the device encrypted, are processed inside secure enclaves on Nvidia GPUs, and return without Google or any third party being able to inspect the content. The stack combines Nvidia GPUs, Intel CPUs with TDX, and Google’s Titan chip. This transforms Blackwell from a mere accelerator into trust infrastructure — and once a client locks into that system, the switching costs are formidable. Full deployment is expected by the end of summer 2026, with more technical details slated for Nvidia’s Confidential Computing Summit later this month.
Building the factory, not just the machine
That Apple deal is just one strand of a broader strategy. On Computex 2026, Nvidia rolled out a suite of enterprise offerings that go far beyond silicon. The Vera CPU is purpose‑built for agentic AI and reinforcement learning. The Nemotron 3 Ultra language model packs 500 billion parameters and is released as an open‑weights model. The NemoClaw framework gives companies a structured blueprint for how AI agents should plan, reason, and execute tasks.
“It’s no longer just about delivering a processor,” an Nvidia executive noted at the show. “We are selling the entire stack — the compute, the models, the orchestration layers — so that enterprises do not have to stitch together pieces from ten different vendors.”
Should investors sell immediately? Or is it worth buying Nvidia?
The logic is ruthless. Control the stack, control the dependency. CUDA already locks developers into Nvidia’s ecosystem; now the company is extending that lock‑in upward into applications and downward into cooling infrastructure.
Deloitte, data centres and the Rubin ramp
On 8 June 2026, during London Tech Week, Nvidia and Deloitte jointly launched the “Adopt 100” programme. The initiative funnels AI solutions from startups directly into Deloitte’s consulting practice — vetted, scaled and corporate‑ready. This is not a marketing stunt; it is a deliberate channel to embed Nvidia technology deep inside the workflows of the world’s largest enterprises.
Simultaneously, the physical infrastructure of AI is being re‑engineered. Data centres are shifting to megawatt‑class racks with liquid cooling as standard. Nvidia’s forthcoming Rubin system — already in full production and slated for partner deployment in the second half of 2026 — combines the Rubin GPU with the Vera CPU to deliver a step‑change in both compute and network density. The message is unambiguous: Nvidia intends to own the entire physical layer of AI, from the chip to the rack to the coolant.
A dip that tells a different story
None of this stopped Nvidia shares from slipping roughly two percent on Wednesday to €176.50, barely above the 50‑day moving average of €176.17 and still around 13 percent below the May all‑time high of €202.50. Macro headwinds — US military strikes on Iran and rate‑rise jitters after a strong jobs report — weighed on the entire semiconductor space.
Yet the long‑term traction is unmistakable. The Wall Street Journal ranked Nvidia number one on its 2026 list of the most future‑proof companies. Analysts have a consensus price target of €257.88, and the stock still trades about 40 percent higher year‑to‑date. A quarterly dividend of $0.25 per share (ex‑dividend date 4 June) adds a modest income kicker.
What makes this story compelling is not the valuation multiple. It is the structural logic: every advance in AI — every new model, every new application, every new industry — now has a high chance of running through Nvidia‑designed infrastructure. The Rubin system, NemoClaw, Vera, the confidential‑computing enclaves — these are not product launches. They are foundations for the next decade. And with every partnership, from Apple to Deloitte, Nvidia is moving further away from being a chip supplier and closer to being the architecture on which the AI world is built.
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