Datadog is preparing to launch an updated artificial intelligence model, designed internally to meet the specific needs of its industry. The company is convinced that this proprietary model will offer superior performance and lower costs compared to general-purpose large language models (LLMs).

Datadog's strategy

The main goal is to avoid the "SaaSpocalypse", a scenario in which customers, thanks to AI, begin to independently develop the tools they need, reducing their dependence on external SaaS solutions. Datadog therefore aims to provide added value that will retain customers, offering an AI model optimized for their specific workloads.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.