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| | https://cdn-uploads.huggingface.co/production/uploads/6867dc53d9565f8452b9b0cc/Bew9oqasvL-WnebO19jbx.png |
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| | [Cast AI partners with Hugging Face](https://cast.ai/press-release/hugging-face-partners-with-cast-ai-to-optimize-ai-workloads), enabling users to proxy, route prompts in real-time, and deploy models directly from Hugging Face’s Model Hub. This integration streamlines the process of managing AI workloads, reducing infrastructure complexity and improving cost efficiency. |
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| | With this new capability, AI Enabler empowers machine learning teams to: |
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| | * __Proxy Requests Through AI Enabler__ – Optimize access to Hugging Face-hosted models by intercepting API requests, enabling prompt caching, and setting cost controls, all to reduce inference costs. |
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| | * __Intelligent Model Routing – Dynamically__ manage model metadata, versioning, and deployment routes for Hugging Face models within AI Enabler’s ecosystem. |
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| | * __One-Click Model Deployment__ – Deploy models from the Hugging Face Model Hub onto GPU-optimized Kubernetes clusters, leveraging AI Enabler’s cost-aware infrastructure scaling. |
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| | Leon Kuperman, CTO at CAST AI said: |
| | >Hugging Face has revolutionized open-source AI, and our integration makes it effortless for teams to operationalize these models at scale. |
| | >This partnership ensures that developers can focus on building AI solutions without worrying about infrastructure bottlenecks. |
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| | This integration is available immediately for AI Enabler users. To get started, visit [www.cast.ai](www.cast.ai). |
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| | ## __About [AI Enabler](https://docs.cast.ai/docs/getting-started-ai)__ |
| | AI Enabler is a leading AIOps automation platform that simplifies model deployment, scaling, and cost optimization. By leveraging advanced Kubernetes-based orchestration, AI Enabler ensures efficient and seamless AI model execution. |
