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Meta expands Llama AI access to U.S. allies in Europe and Asia

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Meta Platforms said Tuesday it will make its Llama artificial intelligence system available to U.S. allies including France, Germany, Italy, Japan, and South Korea, as well as to NATO and European Union institutions. The announcement follows U.S. approval for federal agencies to use Llama earlier this week.

Llama, a large language model capable of processing text, video, images, and audio, will now be deployed more broadly as part of Washington’s effort to strengthen digital cooperation with democratic allies.

Meta said it will work with partners such as Microsoft, Amazon Web Services, Oracle, and Palantir to deliver Llama-based solutions abroad. The company emphasized that its models are released largely free for developers, a strategy CEO Mark Zuckerberg argues will drive innovation, reduce reliance on rivals, and keep engagement strong across Meta’s platforms.

The U.S. General Services Administration confirmed Monday that Llama would be added to its list of approved AI tools for federal use, meeting security and legal standards. By extending access to allies, Meta and Washington aim to align AI infrastructure across friendly nations at a time of intensifying global competition in artificial intelligence.

Global companies pour billions into AI infrastructure with mega-deals

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A wave of multi-billion dollar investments is reshaping the AI landscape as chipmakers, cloud providers, and tech giants race to secure computing power for next-generation artificial intelligence. The surge follows OpenAI’s launch of ChatGPT in 2022, which sparked unprecedented demand for GPUs, cloud infrastructure, and data centers.

Key deals fueling the AI boom:

  • Nvidia & OpenAI – Nvidia to invest up to $100B in OpenAI and supply advanced AI chips, cementing its dominance in the AI ecosystem.

  • Nvidia & Intel – Nvidia invests $5B for a ~4% stake in Intel.

  • Oracle & Meta – In talks on a $20B cloud deal to boost Meta’s AI compute.

  • Oracle & OpenAI – Landmark deal worth $300B over five years for OpenAI to buy Oracle cloud capacity.

  • CoreWeave & Nvidia – $6.3B order ensuring Nvidia-backed startup CoreWeave absorbs unused cloud demand.

  • Nebius Group & Microsoft – $17.4B, five-year GPU deal to bolster Microsoft’s infrastructure.

  • Meta & Google – Six-year, $10B cloud agreement signed in August.

  • Intel & SoftBank – SoftBank injects $2B into Intel, becoming a top-10 shareholder.

  • Tesla & Samsung – $16.5B chip supply deal for Tesla’s next-gen AI6 chip, produced in Texas.

  • Meta & Scale AI – Meta takes 49% stake ($14.3B) in Scale AI, elevating CEO Alexandr Wang’s role in Meta’s AI strategy.

  • Google & Windsurf – $2.4B licensing deal for AI code generation tech.

  • CoreWeave & OpenAI – $11.9B, five-year contract signed before CoreWeave’s IPO.

  • Stargate Datacenter Project – Joint venture by SoftBank, OpenAI, Oracle, backed by U.S. President Donald Trump, with up to $500B in AI infrastructure funding.

  • Amazon & Anthropic – Amazon doubles down with a total $4B investment in Anthropic, developer of the Claude chatbot.

Why it matters:

  • Capital intensity: AI development is now measured in hundreds of billions, with infrastructure demands rivaling traditional energy projects.

  • Strategic alliances: Tech giants are securing long-term chip and cloud capacity to avoid bottlenecks.

  • Geopolitical edge: Governments, particularly the U.S., are encouraging private-public mega-projects like Stargate to keep ahead in the AI race.

The investment frenzy highlights a simple truth: the future of AI hinges not just on algorithms, but on who controls the world’s computing power.

Meta’s Llama AI approved for use across U.S. government agencies

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The U.S. General Services Administration (GSA) has approved Meta Platforms’ artificial intelligence system, Llama, for use by federal agencies, marking a milestone in the government’s adoption of commercial AI. The move comes as the Trump administration pushes to expand the integration of AI into federal operations.

Josh Gruenbaum, GSA’s procurement lead, confirmed that Llama will now be available as part of the agency’s catalog of authorized AI tools. Agencies can experiment with the model—free to use—with GSA’s assurance that it complies with legal and security requirements.

Llama, Meta’s large language model, can process multiple forms of data, including text, audio, video, and images. The approval gives government workers access to a tool that can assist in areas like accelerating contract reviews, handling IT troubleshooting, and managing vast amounts of information.

The GSA has also approved rival AI products from Amazon Web Services, Microsoft, Google, Anthropic, and OpenAI in recent months. Those firms agreed to offer their paid tools at steep discounts while meeting strict federal security standards.

Gruenbaum emphasized that the deals are not about political influence but about collaboration: “It’s about that recognition of how do we all lock in arms and make this country the best country it could possibly be.”

The approval reflects Washington’s accelerating interest in embedding AI across agencies to streamline operations, improve efficiency, and strengthen the government’s technological footing against global competitors.