Sorry for the click-bait title, but everyone is talking about AI Agents, and for a good reason. With the proliferation of LLMs, everyone – from software engineers using LLMs as a coding copilot to people using AI to plan vacations – is looking for new ways to use the technology that isn’t just answering questions or searching knowledgebases.

As organizations evolve – onboarding new team members, expanding use cases, and broadening the scope of model development, their compute infrastructure grows increasingly complex. What often begins as a single cloud account using available credits can quickly expand into a hybrid mix of on-prem and cloud resources that come with different associated costs and are tailored to diverse workloads.