Question: I need a platform that supports a variety of AI models and allows for scalable inference, what are my options?

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Together

Together is a cloud platform for building and running generative AI models. It supports a range of models, including LLaMA-3, Arctic-Instruct and Stable Diffusion XL, and has scalable inference that can handle high traffic levels. It also has collaboration tools for tuning models and discounts that can cut costs, so it's a good option for companies that want to build AI into their products.

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Anyscale

Another good option is Anyscale. It lets you build, run and scale AI applications with the highest performance and lowest cost. It supports a range of AI models, including LLMs and custom generative AI models, and has workload scheduling, cloud flexibility and smart instance management. Anyscale also offers discounts on spot instances and has native support for popular IDEs, so it's a good option for enterprises.

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Fireworks

Fireworks is an AI production workflow optimization platform that uses the latest language models and image generation models. It has features like optimized inference powered by FireAttention, flexible model deployment and support for advanced models like Stable Diffusion 3. Fireworks has scaling options and a variety of pricing tiers, so it's good for businesses of all sizes.

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AIML API

For developers who need fast access to a range of AI models, AIML API offers a single platform with more than 100 AI models that can be accessed with a single API. It has serverless inference and a simple, token-based pricing system. It's designed for scalability and reliability, so it's a good option for projects that need fast and inexpensive access to the latest machine learning technology.

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Lamini

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Salad

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Clarifai

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TheB.AI

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Klu

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LastMile AI

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Stability AI

Democratize access to powerful AI models across various formats, including images, videos, audio, and language, with flexible membership options.

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Google AI

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ThirdAI

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Keywords AI

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ModelsLab

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Airtrain AI

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HoneyHive

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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Writer

Abstracts away AI infrastructure complexity, enabling businesses to focus on AI-first workflows with secure, scalable, and customizable AI applications.