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Meta Expands AI Deal With NVIDIA
Plus: WordPress Turns On an AI Assistant
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
February 18, 2026
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Today, we will talk about these stories:
Meta Plans Millions of NVIDIA GPUs
WordPress Adds an AI Editor
Mistral AI Makes Its First Acquisition
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Meta Is Locking In NVIDIA at Massive Scale
Image Credits: NVIDIA
Meta says it will deploy millions of NVIDIA Blackwell and Rubin GPUs across new hyperscale data centers.
The companies signed a multiyear partnership covering CPUs, networking, and confidential computing across Meta’s on premises and cloud infrastructure. Meta is also expanding its use of NVIDIA Grace Arm based CPUs and Spectrum-X Ethernet to improve performance per watt and network efficiency, with potential Vera CPU deployments starting in 2027.
This is less about a single chip win and more about NVIDIA becoming Meta’s default AI stack from silicon up through networking. When one company is supplying CPUs, GPUs, switches, and security features for workloads serving billions of users, switching costs start to look very high.
Late at night in a data center, the fans do not care about press releases, only power draw and utilization rates. If Meta really improves performance per watt at this scale, it changes its cost base for training and inference across Facebook, Instagram, and WhatsApp.
The open question is how much leverage this gives NVIDIA over the next phase of AI infrastructure.
WordPress Is Making the Editor Conversational
Image Credits: WordPress
WordPress.com is adding a built in AI assistant that can change layouts, rewrite text, and generate images from inside the editor.
The tool works with block themes and lets users issue plain language commands like “add a contact page” or “make this section feel more modern,” then see updates live on the site. It also plugs into the WordPress 6.9 block notes editor with an @ai command and uses Google Gemini Nano Banana models to create or edit images in the Media Library.
This feels like Automattic trying to lower the skill floor for running a decent looking site. If small businesses and creators can tweak design and copy without hiring help, WordPress becomes stickier.
It is the kind of feature you toggle on in Settings late at night, watching your homepage shift as you type. The opt in detail matters because plenty of publishers still want control.
The bigger question is whether this turns WordPress into an AI workspace or just another layer people ignore.
Mistral Starts Building Its Own Pipes
Mistral AI just made its first acquisition, buying cloud infrastructure startup Koyeb.
Koyeb’s engineers, including its three cofounders, will join Mistral in March to help developers run and scale AI workloads without wrestling with backend setup. The pitch is simple: make it easier for customers to deploy models so they spend more time writing code and less time configuring servers.
This tells me Mistral knows model quality alone will not win enterprise deals. If developers hit friction when deploying or scaling, they blame the platform, not their own infrastructure gaps.
It is early morning in Paris when these integration meetings usually start, laptops open and coffee cups half full. Europe’s highest profile AI startup is now stepping into the less glamorous layer of cloud plumbing.
Owning more of the stack gives Mistral tighter control, but it also pulls them into a capital intensive fight with bigger cloud players.
Can they stay focused while expanding sideways this early?
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