What types of AI models are available?

DeepInfra hosts a diverse range, including large language models (LLMs), text-to-image models, and other specialized AI models.

Is there a free tier for testing?

Yes, DeepInfra offers $5 in free credits to allow users to test models and API integrations.

How is pricing structured?

Pricing is generally pay-as-you-go, based on usage (e.g., per token for LLMs, per image for generators, or per second of inference).

Can I deploy my own models?

DeepInfra primarily offers access to pre-trained open-source models, but may have options for custom model deployment for enterprise clients.

What is the typical latency for model inference?

DeepInfra focuses on low-latency inference, with many models responding in milliseconds, depending on complexity and load.

DeepInfra

A cloud platform providing fast, scalable API access to a wide range of open-source AI models for inference, including LLMs and image generators.

Price: Freemium

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Description

DeepInfra offers a powerful infrastructure for developers and businesses to deploy and run various large AI models efficiently. It provides APIs for popular models like Llama 2, Stable Diffusion, and many others, enabling users to integrate advanced AI capabilities into their applications without managing complex hardware or deployments. The platform targets developers, data scientists, and enterprises needing high-performance, cost-effective access to cutting-edge AI models for diverse applications, from chatbots to image creation. Its pay-as-you-go model ensures cost efficiency.

How to Use

1.Sign up for an account on DeepInfra.com.

2.Browse the catalog of available AI models (e.g., LLMs, image models).

3.Select a model, review its API documentation, and generate an API key.

4.Integrate the model's API into your application using provided code examples.

5.Monitor usage and optimize calls through the DeepInfra dashboard.

Use Cases

AI API integrationLLM inferenceAI image generation (programmatic)AI model testingBuilding AI-powered applicationsAI workflow automation

Pros & Cons

Pros

Provides fast and scalable inference for a wide range of AI models.
Access to a diverse catalog of cutting-edge open-source models.
Simplifies AI deployment for developers by managing infrastructure.
Cost-effective with a pay-as-you-go pricing model.
Excellent documentation and community support for developers.

Cons

Requires coding knowledge for API integration, not an end-user tool.
Customization options for specific models might be limited compared to self-hosting.
Costs can scale rapidly with high usage if not monitored carefully.
Primarily an API service, lacking a direct graphical user interface for end-users.

Pricing

Free Tier: $5 in free credits for new users upon signup

Allows testing of various models and API endpoints

Pay-As-You-Go: Prices vary per model and usage metric (e.g., per token for LLMs, per image for generators, or per second of inference)

Example: Llama 2 70B: $0.0006/1000 input tokens, $0.0008/1000 output tokens

Example: Stable Diffusion XL: $0.0005 per image

No monthly fees, users only pay for what they use

Enterprise: Custom pricing and dedicated support for large-scale deployments

Contact sales for specific needs and tailored solutions

Usage Limits: Usage is limited by available credits or budget

Free Trial Availability: Yes, $5 in free credits are provided for new users

Refund Policy: Credits are generally non-refundable once purchased.

FAQs

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