Clarifai, a global leader in AI and pioneer of the full-stack AI platform, is debuting a cost-effective, secure solution for developers and MLOps engineers to deploy and manage AI models. Designed to remediate the challenges of growing compute demand for AI projects, AI Runners streamlines the management of modern AI.
AI Runners enable users to connect their AI models—whether running on private cloud clusters, local machines, or on-prem servers—to Clarifai’s platform via a publicly accessible API. This capability unlocks the “best of both worlds” for developers, leveraging the security of users’ own environments with the compute power of Clarifai’s existing infrastructure—without vendor lock-in.
“Agentic AI is driving significant compute demands, and AI Runners provide a practical, secure solution for every developer. It's essentially ngrok for AI models, letting you build on your current setup and keep your models exactly where you want them, yet still get all the power and robustness of Clarifai’s API for your biggest agentic AI ideas,” said Alfredo Ramos, chief product and technology officer at Clarifai. “Our goal is to make advanced AI development from your first line of code to a deployed application—genuinely easier and more budget-friendly for creators everywhere.”
AI Runners seamlessly integrate into any application, achieved through instant serving of custom models via Clarifai’s scalable API. With this feature, developers can create intricate, multi-step AI workflows by chaining local models with thousands of models available on the Clarifai platform, all centralized within a unified dashboard.
Outside of compute potential, AI Runners pose significant efficiency and accessibility for development. To start, AI workflows can be built locally and then scaled seamlessly to production in Kubernetes-based compute clusters on Clarifai, underscored by straightforward onboarding and transparent pricing. Additionally, with Clarifai's Compute Orchestration, enterprises can further reduce costs with traffic-based autoscale to/from zero, batching of requests, spot instances, and GPU fractioning.
To learn more about AI Runners, please visit https://www.clarifai.com/.