Dataiku, the platform for Everyday AI, is debuting LLM Cost Guard, a new component of the Dataiku LLM Mesh designed to enable enterprises to monitor and understand their generative AI (GenAI) and large language model (LLM) expenses. As more and more organizations push for GenAI and LLM implementation, LLM Cost Guard will empower these entities to better comprehend their AI spend at a fine-grained level, according to the company.
As with any technology trend, the need to keep up with modern tech often outweighs the practical considerations of its investment. With 100% of AI leaders rating GenAI as important to their organization’s business strategy in the next twelve months, employing utilitarian methods of measuring the costs of these investments—to avoid them spinning out of control—will be crucial to its success.
Dataiku’s LLM Cost Guard solution offers visibility into the costs of specific applications, providers, and users, enabling enterprises to identify which LLM use cases are exploding costs. As a feature in the Dataiku LLM Mesh—Dataiku’s secure LLM gateway solution for vendor-agnostic LLM implementation—LLM Cost Guard brings in-depth, fine-grained comprehension of GenAI and LLM costs to the tech’s rapidly evolving nature.
"AI is a critical strategy for every enterprise’s innovation and growth, yet we constantly hear business leaders’ concerns not only about the potential costs of Generative AI projects, but the inherent variability of that cost,” said Florian Douetteau, co-founder and CEO, Dataiku. “With LLM Cost Guard, we’re aiming to demystify these expenses. IT leaders will now not only have controlled, governed LLM access within the Dataiku LLM Mesh, but detailed, real-time control over spend, so that they can focus their time on building and innovating. By distinguishing between various costs and setting early warnings, we empower leaders to move forward with their generative AI initiatives confidently."
LLM Cost Guard offers the following capabilities:
- Tag and track LLM expenses by assigning costs to specific projects for increased financial clarity and accountability
- Differentiate between costs, including differences between production and development expenses
- Utilize early warning systems that help enterprises identify potential costs overruns before it happens
- Usage and spending dashboards that drive more informed decision making and optimized investment
"Dataiku's innovation in generative AI cost monitoring is pivotal, meeting a crucial market demand,” said Ritu Jyoti, group VP, AI and automation research, IDC. “As enterprises weave generative AI more deeply into their operational fabric, the necessity for a solution that not only clarifies costs but also integrates governance into its framework becomes essential. Dataiku is empowering companies to pursue sustainable growth with a comprehensive understanding and oversight of their generative AI investments.”
To learn more about LLM Cost Guard, please visit http://www.dataiku.com/.