Facebook’s Zuckerberg, at the Congress hearing/screenshot
Meta is gearing up for a bold and unprecedented move in the tech landscape. CEO Mark Zuckerberg announced plans to pour up to $65 billion into expanding the company’s AI infrastructure in 2024, a high-stakes gamble to outpace rivals OpenAI and Google in the fierce battle for dominance in artificial intelligence.
This colossal investment includes an aggressive hiring spree for top-tier AI talent and the construction of a data center exceeding 2 gigawatts in capacity—an infrastructure so massive it could span a significant portion of Manhattan, cementing Meta’s ambitions to reshape the future of AI innovation.
“This will be a defining year for AI,” Mark Zuckerberg said in a Facebook post. In 2025, I expect Meta AI will be the leading assistant serving more than 1 billion people, Llama 4 will become the leading state of the art model, and we’ll build an AI engineer that will start contributing increasing amounts of code to our R&D efforts. To power this, Meta is building a 2GW+ datacenter that is so large it would cover a significant part of Manhattan. We’ll bring online ~1GW of compute in ’25 and we’ll end the year with more than 1.3 million GPUs. We’re planning to invest $60-65B in capex this year while also growing our AI teams significantly, and we have the capital to continue investing in the years ahead. This is a massive effort, and over the coming years it will drive our core products and business, unlock historic innovation, and extend American technology leadership. Let’s go build!”
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One way in which Meta is moving forward with artificial intelligence is with Codelium.
Codeium is an AI-powered code completion tool that helps developers write code faster and more efficiently. Codeium is available as a plugin for various IDEs (Integrated Development Environments) like VS Code, IntelliJ, and others, as well as a browser extension for online coding platforms like Google Colab. It aims to improve developer productivity by reducing repetitive tasks and providing intelligent coding assistance.
Meta’s Codeium Chat and Command are seamlessly integrated into users’ Integrated Development Environments (IDEs), delivering cutting-edge models tailored for developers. By indexing the entire codebase, Codeium provides context-aware responses using an advanced reasoning approach that combines retrieval-augmented generation and re-ranking. Later, Codeium introduced “Riptide,” an even more advanced retrieval mechanism designed to elevate precision and efficiency.
For free-tier users, Meta’s Codeium Chat base model is powered by Llama 3.1 70B. Paid-tier users gain access to options like the robust Llama 3.1 405B, offering unlimited usage. While Codeium deploys its own models for enterprise clients, customers also have the flexibility to self-host, opting for Codeium’s models or integrating with other ecosystems. For SaaS users, the Llama models deliver a significantly lower cost of ownership compared to running APIs reliant on closed-source models, making them an economical and scalable choice.
