DigitalEx, a FinOps platform that, up to now, has focused on managing multi-cloud and private cloud costs, has unveiled a service for enterprises and system integrators that enables them to manage AI costs, specifically those associated with large language models (LLMs).
As businesses increasingly integrate AI into their core operations, DigitalEx’s latest offering allows them to understand, control, and optimise LLM-related expenses.
The technology is designed to go beyond enhancing cost visibility, with its centralised view of LLM costs from multiple vendors. There is insight into costs per team and AI application, for instance, especially important in complex environments using multiple LLMs.
It can also identify inefficiencies and optimise spending, “bringing runaway costs under control”, said the provider, while the platform can enable teams to justify AI investments by providing clear visibility into cost drivers and usage patterns.
Management are provided insights into ROI, allowing for better resource allocation and a focus on high-performing projects. DigitalEx provides a single UI, data model, and optimisation engine to view and manage both public and private cloud costs.
“In today’s AI-driven landscape, effectively managing LLM costs is no longer just a financial consideration, it’s a strategic imperative,” said Sundeep Goel, CEO of DigitalEx. “Our latest release empowers businesses to harness the full potential of AI technologies while maintaining financial control and maximising return on investment. We’re not just offering a tool, we’re providing a strategic advantage in the AI race.”
Multi-vendor support includes AWS Bedrock, Azure OpenAI, OpenAI, and Groq. There is also integration with existing FinOps practices and cloud cost management systems, and there is the ability to analyse cost-performance trade-offs in various operational settings.
More details on the FinOps AI service can be found here:
https://www.digitalex.io/blog/the-ai-cost-tsunami-surfing-the-wave-with-...
