How Vultr Optimizes Agentic AI
The ongoing growth of artificial intelligence has shifted the focus of innovation from model training and generative AI processing to agentic inference. This trend is rapidly accelerating, with enterprise applications increasingly featuring multiple agents embedded in customer experiences.
The agentic AI movement is highlighted in the market by a key trend: namely, the need for a proper balance between CPUs and GPUs to achieve optimal performance and business ROI for agentic workloads.
To achieve this balance, enterprises must dedicate CPUs to support AI agent management, while deploying co-resident GPU clusters to provide the local “brains” that deliver the information those agents require.
When applied to a cloud environment, this approach to agentic AI calls for CPU and GPU resources to be located together and as close as possible to the application users.
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Founded in 2017, Futuriom is a boutique technology research firm analyzing AI infrastructure and services; cloud infrastructure and services; and cybersecurity. Futuriom has a track record of identifying key shifts in the cloud technology markets, such as cloud networking, cybersecurity, and infrastructure. We also track hundreds of startups in the cloud infrastructure market. Data-Driven Research: During the course of the year, we survey and interview thousands of enterprises, cloud operators, and service providers about technology needs and challenges. We also track key financial data and trends in the industry.
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