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Deep Infra

Paid

Fast Simple Reliable Low-Cost AI Inference

AI ModelsContact
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Inputs: text, audio, imageOutputs: text, image, audio, video
Type
Saas
Founded
2022
Company
Deep Infra
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About Deep Infra

Deep Infra offers cost-effective, scalable, easy-to-deploy, and production-ready machine-learning models and infrastructures for deep-learning models. It provides a platform to run top AI models using a simple API, with pay-per-use pricing and low-latency inference. Users can deploy custom LLMs on dedicated GPUs and access various models for text generation, text-to-speech, text-to-image, and automatic speech recognition.

How to Use

Users can deploy models via the Deep Infra platform by downloading deepctl, signing up for an account, choosing from available models, and using a simple REST API to call the model in production.

Deep Infra's

Key Features

  • Fast ML inference with a simple API
  • Scalable and production-ready infrastructure
  • Pay-per-use pricing
  • Support for various ML model types (text generation, text-to-speech, text-to-image, ASR)
  • Custom LLM deployment on dedicated GPUs
  • Auto Scaling

Use Cases

  • Running text generation models like Llama and Qwen
  • Generating speech from text using models like Kokoro and Dia
  • Creating images from text prompts using Stable Diffusion and FLUX models
  • Transcribing audio using Whisper for automatic speech recognition
  • Deploying custom large language models on dedicated GPUs

Key Features

Fast ML inference with a simple API
Scalable and production-ready infrastructure
Pay-per-use pricing
Support for various ML model types (text generation, text-to-speech, text-to-image, ASR)
Custom LLM deployment on dedicated GPUs
Auto Scaling

Pros & Cons

Pros
  • Cost-effective pay-as-you-go pricing with no long-term contracts
  • Fast, low-latency inference with a simple API
  • Wide selection of over 100 open-source models across multiple modalities
  • SOC 2 and ISO 27001 certified, ensuring strong security and compliance
  • Zero data retention policy, keeping user inputs and outputs private
  • Supports custom model deployment on dedicated GPU instances
  • Scalable infrastructure designed for production workloads
Cons
  • Pricing varies significantly by model and may be complex (per-token vs. per-execution time)
  • Some advanced or large models can become expensive at high volumes
  • Dependent on a single cloud provider for model availability and uptime
  • Primarily an inference service; does not offer model training capabilities

Best For

Running text generation models like Llama and QwenGenerating speech from text using models like Kokoro and DiaCreating images from text prompts using Stable Diffusion and FLUX modelsTranscribing audio using Whisper for automatic speech recognitionDeploying custom large language models on dedicated GPUs

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FAQ

What models are available on Deep Infra?
Deep Infra offers over 100 open-source models covering text generation (e.g., Llama, Qwen, DeepSeek), text-to-image (Stable Diffusion, FLUX), text-to-speech, automatic speech recognition (Whisper), embeddings, rerankers, and more.
How does pricing work?
Pricing is pay-as-you-go. Language models are billed per million input and output tokens, with discounted rates for cached tokens. Other models are billed per inference execution time. There are no long-term contracts or upfront costs.
Is my data private when using Deep Infra?
Yes. Deep Infra has a zero retention policy, meaning your inputs and outputs are not stored. The platform is SOC 2 and ISO 27001 certified, following best practices in information security and privacy.
Can I deploy my own custom models on Deep Infra?
Yes, you can deploy custom large language models on dedicated GPU instances, such as On-Demand DGX B300 GPUs, billed per instance hour.