🔥 Trending Repository: vllm

📝 Description: A high-throughput and memory-efficient inference and serving engine for LLMs

🔗 Repository URL: https://github.com/vllm-project/vllm

🌐 Website: https://docs.vllm.ai

📖 Readme: https://github.com/vllm-project/vllm#readme

📊 Statistics:
🌟 Stars: 55.5K stars
👀 Watchers: 428
🍴 Forks: 9.4K forks

💻 Programming Languages: Python - Cuda - C++ - Shell - C - CMake

🏷️ Related Topics:

#amd #cuda #inference #pytorch #transformer #llama #gpt #rocm #model_serving #tpu #hpu #mlops #xpu #llm #inferentia #llmops #llm_serving #qwen #deepseek #trainium

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🧠 By: https://t.iss.one/DataScienceM

📌 How to Turn Your LLM Prototype into a Production-Ready System

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-12-03 | ⏱️ Read time: 15 min read

Transforming a promising LLM prototype into a production-ready system involves significant engineering challenges. This guide outlines the essential steps and best practices for moving beyond the experimental phase, focusing on building scalable, reliable, and efficient LLM applications for real-world deployment. Learn how to successfully operationalize your language model from concept to production.

#LLM #MLOps #ProductionAI #LLMOps