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Groq Launches Meta's Llama 3 Instruct AI Models on LPU™ Inference Engine

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Llama 3 by Meta AI runs on Groq’s LPU™—leading token speed and top benchmarks.

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BlogsBatch Processing with GroqCloud™ for AI Inference WorkloadsGroq BlogsGroq LPU Tops Latency & Throughput in BenchmarkGroq BlogsWhat is AI Inference? ML Basics ExplainedGroq BlogsFrom Speed to Scale: How Groq Is Optimized for MoE & Other Large ModelsGroq BlogsThank You! 1 Million Developers Now On GroqCloud™Groq BlogsContext Length in LLMs: Optimize Business AI PerformanceGroq LearnModel Types and PerformanceVercel BlogsFast AI Feedback Loops with Honeycomb and OpenTelemetryHoneycomb Products & ServicesSpeech Understanding APIAssemblyai ResearchCritical Learning Periods: Leveraging Early training Dynamics for Efficient Data PruningCohere ResearchThe Art of Asking: Multilingual Prompt Optimization for Synthetic DataCohere BlogsCohere Labs Launches Tiny Aya for Multilingual AI | CohereCohere Products & ServicesModel Vault | Dedicated Model Inference Platform | CohereCohere ResearchBAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of ExpertsCohere ResearchAdaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?Cohere ResearchElo Uncovered: Robustness and Best Practices in Language Model EvaluationCohere ResearchFrom One to Many: Expanding the Scope of Toxicity Mitigation in Language ModelsCohere BlogsThis Month in the DuckDB Ecosystem: July 2023Motherduck BlogsIn-region inference, open models, and new European infrastructure for sovereign AI.Mistral BlogsAI in abundanceMistral