拆解网易有道翻译:一名软件工程师眼中的LLM落地、性能优化与架构演进
拆解网易有道翻译:一名软件工程师眼中的LLM落地、性能优化与架构演进 ...
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拆解网易有道翻译:一名软件工程师眼中的LLM落地、性能优化与架构演进 ...

AI Architecture Transition from Prototype to Production: A Senior Engineer’s Playbook ...
Compare vLLM, TGI, Ollama, BentoML, and Ray Serve for production LLM serving. Real Helm values, GPU
Master GPU orchestration, edge deployment, and latency reduction for AI inference in Kubernetes. Optimize costs at scale with cloud-native infrastructure.
Deploy Llama 4 to production with Meta Llama Stack's OpenAI-compatible API. Covers distributions, vLLM, Ollama, safety, agents, and cost-effective hosting.
Key Takeaways OpenAI recently released GPT-5.4 mini and nano, while Mistral AI introduced its Small...

Large Language Models are no longer an experiment sitting quietly in a lab. They’re answering...