讓你的 Llama 生成速度飛起來：使用 AWS Inferentia2 進行加速
Original: Make your llama generation time fly with AWS Inferentia2
As large language models (LLMs) such as Llama 2 become more widely adopted, achieving efficient and cost-effective inference in production…
Hugging Face 介紹如何使用 AWS Inferentia2（Inf2 執行個體）來加速 Llama 2 模型的推理。透過 Optimum Neuron 整合庫，開發者可以輕鬆將 Llama 2 編譯並部署至 AWS 自研晶片上。這不僅能顯著提升文字生成速度（降低延遲），還能大幅降低雲端部署的硬體成本，是 NVIDIA GPU 之外的高性價比替代方案。
As large language models (LLMs) such as Llama 2 become more widely adopted, achieving efficient and cost-effective inference in production environments has become a primary challenge for developers. This technical blog post from Hugging Face details how to use AWS's second-generation inference solution — AWS Inferentia2 (Inf2 instances) — to make text generation with Llama 2 dramatically faster.
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