Clarifai, a global leader in AI solutions, has introduced AI Runners, a new offering launched on July 8, 2025, designed to empower developers and MLOps engineers with unparalleled flexibility in deploying and managing AI models. By enabling seamless integration of local or private server-based models with Clarifai’s scalable API, AI Runners delivers a hybrid solution that balances control, scalability, and cost-efficiency for modern AI development.
Clarifai’s AI Runners enable flexible AI model deployment via public API.
Supports local, on-premises, or private cloud setups without vendor lock-in.
Integrates custom models with Clarifai’s platform for complex AI workflows.
Offers cost-effective scaling with transparent pricing and compute orchestration.
Simplifies development for agentic AI with high compute demands.
Provides unified dashboard for managing and monitoring AI operations.
AI Runners allow developers to run models on local machines, on-premises servers, or private cloud clusters while connecting them to Clarifai’s robust API. This eliminates complex networking challenges and ensures sensitive data and custom models remain within the user’s environment. By avoiding vendor lock-in, AI Runners empower developers to leverage existing compute infrastructure, making it a unique offering in the AI development landscape.
The rise of agentic AI, which autonomously sets goals and solves complex problems using tools like MCP protocols, has increased demand for computing power. As Alfredo Ramos, Chief Product and Technology Officer at Clarifai, stated, “Agentic AI is driving significant compute demands, and AI Runners provide a practical, secure solution for every developer.” This solution enables developers to build and scale agentic AI applications efficiently, integrating local models with thousands available on Clarifai’s platform for multi-step workflows.
AI Runners streamline the path from development to production with a straightforward onboarding process and transparent pricing. Developers can start locally and scale to Kubernetes-based clusters on Clarifai’s platform. Features like traffic-based autoscaling, request batching, spot instances, and GPU fractioning optimize compute resources, allowing users to run more AI workloads cost-effectively. This makes advanced AI development accessible to creators and enterprises of all sizes.
Clarifai’s AI Runners mark a significant advancement in AI deployment, offering developers the flexibility to maintain control over their models while leveraging a world-class platform. This innovative solution positions Clarifai as a leader in supporting the growing demands of agentic AI and scalable AI workflows.
Clarifai is a global leader in AI and the pioneer of the full-stack AI platform that helps organizations, teams, and developers build, deploy, and operationalize AI at scale. Clarifai's cutting-edge AI platform supports today's modern AI technologies like Large Language Models (LLMs), Large Vision Models (LVMs), Retrieval Augmented Generation (RAG), automated data labeling, high-volume production inference, and more. Founded in 2013, Clarifai is available in cloud, on-premises, or hybrid environments and has been used to build more than 1.5 million AI models with more than 400,000 users in 170 countries.
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