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Meta AI Intelligence

Latest Meta AI news, Llama large language model releases, open-source research breakthroughs, and AI hardware infrastructure updates.

GroqCloud expands model support to Llama 4 and DeepSeek R1 architectures - Rows of futuristic server racks with blue indicators inside a high-tech data center corridor. | SPIDITS
VentureBeatJun 23, 2026

GroqCloud expands model support to Llama 4 and DeepSeek R1 architectures

Groq report serving over 5 million developers processing trillions of token weekly on deterministic LPU hardware.

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Key Concepts & Glossary: Meta AI Intelligence

Local LLM Runtime

A Local LLM Runtime is an execution engine (such as Ollama, llama.cpp, or LM Studio) engineered to run quantized open-weights language models locally on consumer hardware without sending data to cloud APIs.

Foundation Model

A Foundation Model is a large-scale AI model trained on massive, broad datasets (typically through self-supervised learning) that serves as the baseline starting point for multiple downstream tasks. Examples include GPT-4, LLaMA, and stable diffusion models.

LLaMA

LLaMA (Large Language Model Meta AI) is a family of state-of-the-art open-weights foundation models released by Meta. LLaMA catalyzed the open-source AI developer ecosystem by offering models that could run locally with high efficiency.

PyTorch

PyTorch is the dominant open-source machine learning framework developed by Meta AI research, widely used for building, training, and deploying deep learning models.

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