Question: Is there a platform that offers serverless endpoints for deploying AI models, so I don't have to worry about scalability?

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AIML API

If you're looking for a platform that offers serverless endpoints for deploying AI models without worrying about scalability, AIML API could be a great fit. It provides over 100 AI models through a single API, along with serverless inference to handle the scalability for you. The platform ensures 99% uptime and faster response times, with a simple and predictable pricing model based on token usage.

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Mystic

Another excellent option is Mystic, which specializes in serverless GPU inference. It integrates directly with AWS, Azure, and GCP and offers cost-effective and scalable architecture. Mystic supports multiple inference engines and provides features like spot instances and parallelized GPU usage, making it ideal for teams working on various data types like text, images, and video.

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Modelbit

Modelbit is also worth considering. This platform allows for quick deployment of custom and open-source ML models on autoscaling infrastructure with built-in MLOps tools. It supports a wide range of models and offers Git integration, model registry, and industry-standard security features. Modelbit's pricing is flexible, with options for on-demand, enterprise, and self-hosted deployments.

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RunPod

Additionally, RunPod provides a globally distributed GPU cloud for developing, training, and running AI models. It offers serverless ML inference with autoscaling and job queuing, along with instant hot-reloading and support for various frameworks like PyTorch and Tensorflow. RunPod provides a variety of GPU options and flexible pricing based on usage.

Additional AI Projects

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Cerebrium

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Keywords AI

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Replicate

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Zerve

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Dayzero

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dstack

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Novita AI

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MindStudio

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LastMile AI

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Eden AI

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Athina

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Lazy AI

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Airtrain AI

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Humaan

Integrate human intelligence into apps with ease, leveraging a range of pre-trained AI models and a no-code fine-tuning tool for customized functionality.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.