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Meta Llama 4 Preview: Native Multimodal Architecture and Dense Reasoning Weights

Mark Zuckerberg confirmed Llama 4 is training on over 100,000 H100 GPUs. Here is what engineering benchmarks reveal about the next open source titan.
Meta Llama 4 Preview: Native Multimodal Architecture and Dense Reasoning Weights

The 100,000 GPU Training Cluster

Meta AI has committed unprecedented capital expenditure to open source intelligence. Training across unified clusters powered by more than 100,000 NVIDIA H100 and Blackwell GPUs, Llama 4 is designed to surpass GPT-4o and Claude 3.5 Sonnet across every standard benchmark.

Native Multimodal Tokens and Mixture of Experts

Unlike previous Llama iterations where vision was adapted post-hoc, Llama 4 integrates native video, audio, and visual reasoning into its core transformer layers. Industry reports indicate Meta is introducing MoE variants to provide extreme inference efficiency for edge device hosting.

M
Marcus Vance
Staff AI Technology Analyst at AINewsPro

Senior AI Technology Journalist & Chief Editor at AINewsPro. Covering frontier foundation models, agentic workflows, and the intersection of neural networks and society.

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