Model Routing
Route workloads across models based on capability, latency and cost.
Solutions / LLM Infrastructure
Infrastructure for enterprise intelligence.
Build reliable LLM applications with routing, retrieval, memory, evaluation and observability.
RAG
Ground model responses in trusted enterprise knowledge.
Inference
Build scalable infrastructure for production model workloads.
Evaluation
Continuously evaluate quality, safety and reliability.
Frequently Asked Questions
Questions about LLM Infrastructure
What is enterprise LLM infrastructure?
Enterprise LLM infrastructure provides the systems required to operate language-model applications reliably, including model routing, retrieval, inference, evaluation, observability, and governance.
How does LLM routing reduce cost and latency?
LLM routing can select models according to workload requirements such as capability, latency, reliability, and cost.
What is retrieval-augmented generation (RAG)?
Retrieval-augmented generation combines language models with relevant external knowledge so applications can ground responses in enterprise information.
How should enterprises evaluate LLM applications?
Enterprises should evaluate LLM applications for response quality, reliability, safety, latency, cost, and behavior against representative workloads.