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Google CEO Congratulates Meta on Launching Llama 4 Scout and Maverick

Prime Highlights:

  • Google CEO Sundar Pichai gave kudos to Meta’s AI crew for their new AI forms—Llama 4 Scout and Llama 4 Maverick.

  • This step shows the growth in AI craft and good rivalry among big tech firms.

Key Facts:

  • Llama 4 Scout works on just one NVIDIA H100 GPU, handling big data well.

  • Llama 4 Maverick, made for top-tier setups, has 400 billion parts.

  • Both use a “mix of experts” method, turning on only needed parts for jobs.

Key Background:

In a big event showing the team work in tech craft, Google CEO Sundar Pichai praised Meta’s AI group for their fresh open-source models—Llama 4 Scout and Llama 4 Maverick. This act not only cheers Meta’s big win but also shows the warm bond among top names in the fast-growing AI field.

Meta’s fresh models are part of the Llama 4 set, marking a big leap in big language models. Llama 4 Scout aims for easy use and reach, running on a single NVIDIA H100 GPU. It has a 10 million-token view and holds 109 billion parts, with 17 billion used in work. This fits needs for long talk and deep context grasp, all with less setup.

On the other hand, Llama 4 Maverick is built for big firm and study needs. It needs a strong computer setup—NVIDIA H100 DGX system—and boasts a huge 400 billion parts, spread over 128 “expert” units. Like Scout, it uses only 17 billion parts at once, saving speed and power while keeping top work. Maverick matches with top models like OpenAI’s GPT-4 and Google’s own Gemini 1.5 in coding, many tongues, and mixed tasks (like seeing images and videos).

What sets both models apart is their “mix of experts” setup. This plan lets the AI smartly turn on just the model parts needed for each job, boosting how well it works and cutting what it costs to run.

Meta’s moves in AI show a clear mark of rising fight and team work that shapes the next wave of smart systems. Sundar Pichai’s nod only backs how leaders help each other in moving tech limits.