Text to speech

Deep Infra

A platform for deploying and running machine learning models with a simple API and pay-per-use pricing.

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Verdict

A quick read before you dig into the full page.

Best if
You are aI developers and need: Running text generation models like Llama and Qwen
Pick this when
A platform for deploying and running machine learning models with a simple API and pay-per-use pricing

Overview

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.

Deep Infra screenshot

Best for

Short scenarios where Deep Infra tends to shine.

  • Running text generation models like Llama and Qwen

    Best for AI developers

  • Generating speech from text using models like Kokoro and Dia

    Best for Machine learning engineers

  • Creating images from text prompts using Stable Diffusion and FLUX models

    Best for Researchers

  • Transcribing audio using Whisper for automatic speech recognition

    Best for Businesses needing scalable AI solutions

  • Deploying custom large language models on dedicated GPUs

    Best for Startups

How it works

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.

Example outputs 1

Sample generations and before/after results for Deep Infra.

Access & connections

Where you can use Deep Infra.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • 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

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FAQ 7

What is 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 Deep Infra?
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.
What pricing models does Deep Infra offer?
Deep Infra offers per-token pricing for some language models and inference execution time-based pricing for most other models. There are no long-term contracts or upfront costs.
What GPUs are used to run the models?
All models run on H100 or A100 GPUs, optimized for inference performance and low latency.
How does auto-scaling work?
The system automatically scales the model to more hardware based on your needs. Each account is limited to 200 concurrent requests.
What are the usage tiers?
Every user is part of a usage tier. As usage and spending increase, users are automatically moved to the next tier, each with an invoicing threshold.
Can I deploy my own custom LLMs?
Yes, you can deploy your own model on Deep Infra's hardware and pay for uptime, getting dedicated SXM-connected GPUs and automatic scaling.
Deep Infra