- Large language models (LLMs) are generative AI models used for various applications like chatbots, content generation, and language translation.
- LLMs perform tasks such as language translation, text classification, sentiment analysis, text generation, and question-answering.
- Well-known language models include Google’s Gemini, OpenAI’s GPT-4, Anthropic’s Claude 3, Bloom, and Google’s XLNet with 175 billion parameters.
- Kubernetes automates the deployment, scaling, and management of containerised applications.
- Kubernetes key features include container orchestration, automated rollouts and rollbacks, load balancing, self-healing, auto scaling, and resource management.
- The latest Kubernetes version is v1.31.1, released on September 11, 2024, with enhanced features.
- The generative AI-based LLMs market is projected to reach US$ 188.62 billion by 2032.
私の考え：LLMの展開にはKubernetesが重要であり、LLMは将来の要件に対応するためにautoscaling、GPUスケジューリング、モニタリング、セキュリティ、マルチクラウド展開をサポートする必要があると考えられます。
元記事: https://www.opensourceforu.com/2024/12/deploying-large-language-models-on-kubernetes/