Self-hosted AI

Deploy and manage AI models (e.g., LLaMA, Mistral) on your own private infrastructure for full data control, enhanced security, and predictable costs.

Self-hosted AI shifts model deployment from third-party cloud services to your private infrastructure: on-premises, private cloud, or hybrid. This strategy delivers complete data control, crucial for compliance requirements and sensitive information. You eliminate variable API costs, moving to a predictable CapEx model for hardware (GPUs/TPUs). Tools like Ollama and vLLM simplify running open-source models like LLaMA and Mistral, enabling low-latency inference and deep customization. The trade-off requires dedicated MLOps expertise for maintenance, but the security and performance gains are significant: your data never leaves your environment.

https://corptec.com.au/self-hosted-ai-vs-cloud-ai-pros-cons-risks-cost-and-more/