Deploy and manage large language models on your own infrastructure for maximum control and security.
On Premise LLM
- The Challenge Using public cloud-based LLMs raises concerns about data privacy, security, and unpredictable costs. For organizations with highly sensitive data, sending information to a third-party service is not an option.
- Our Approach We provide an end-to-end service for deploying powerful open-source LLMs directly within your private infrastructure. We handle everything from architecting the GPU hardware to fine-tuning the models on your proprietary data.
- Our Experience We design and implement secure, air-gapped server clusters with model serving frameworks that allow your internal applications to access LLM capabilities without any data ever leaving your network.
- The Outcomes Achieve maximum data security and full compliance with privacy regulations. Gain complete control over model behavior, benefit from lower latency, and build a strategic AI asset that is entirely your own.
