Private LLM Consulting Services

A private large language model (LLM) operates within a controlled environment where the organization retains full authority over access, data management, and deployment strategies. This setup enables internal AI tools to run on company-owned infrastructure or within a dedicated hosted environment.

Use cases for private LLMs

• Internal knowledge retrieval: Assists employees in locating relevant information across corporate documents, standard operating procedures, and technical manuals, ensuring that responses adhere to established document permission structures.
• Document processing: Facilitates the summarization of reports, extraction of key data, and drafting of documents from internal sources, with human oversight retained for scenarios where errors could impact critical business decisions.
• Software development: Enhances coding workflows by supporting code explanation, documentation generation, and development tasks while ensuring source code remains contained within approved secure environments.

Deployment options and considerations

• Location and governance: On-premise installations offer direct oversight of hardware and network access, whereas dedicated hosting minimizes the burden of physical infrastructure management but necessitates verification of provider access protocols and data residency.
• Cost and capacity: Operational expenses include hardware, energy, hosting, and maintenance, with required capacity determined by model size, input document length, and concurrent user load.
• Performance and quality: Smaller models typically demand fewer computational resources; they should be benchmarked against representative tasks to confirm that accuracy and response latency meet organizational standards.
• Security and maintenance: Private deployment alone is insufficient for security assurance; continuous attention must be paid to access controls, activity logging, software updates, and the protection of stored conversation history.

How NobleConsul can help

• NobleConsul can assist in evaluating specific use cases, comparing deployment strategies, and validating model performance against defined business requirements.
• NobleConsul offers server hardware provisioning for private LLM setups, tailoring GPU, memory, storage, and networking configurations to fit workload demands and budget constraints.
• Support services extend to integrating models with internal systems and planning for sustained operations, maintenance, and future capacity expansion.