ToolMeshToolMesh
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Deep Infra

★3.8
💬37054
💲Paid

Deep Infra enables developers to deploy and run various machine learning models with minimal setup. Using a REST API, users can access pre-trained models or deploy custom ones on dedicated GPU hardware. With auto-scaling and pay-per-use pricing, the platform ensures cost-efficiency and performance for production environments.

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Platform
web
APIAuto ScalingAutomatic Speech RecognitionCloud ComputingDeep LearningGPUInference

What is Deep Infra?

Deep Infra is a machine learning platform that allows users to deploy and run AI models using a simple API with pay-per-use pricing. It provides scalable, production-ready infrastructure for running top AI models with low-latency inference. The platform supports text generation, speech synthesis, image creation, and automatic speech recognition, making it ideal for developers and businesses looking to integrate AI into their applications efficiently.

Core Technologies

  • Machine Learning
  • Deep Learning
  • API
  • GPU
  • Inference
  • Auto Scaling
  • Cloud Computing
  • Serverless

Key Capabilities

  • Deploying ML models via API
  • Running LLMs on dedicated GPUs
  • Low-latency model inference
  • Support for multiple AI tasks
  • Pay-per-use pricing

Use Cases

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

Core Benefits

  • Cost-effective usage-based pricing
  • Scalable infrastructure
  • Easy deployment process
  • Low latency inference
  • Wide range of supported models
  • Dedicated GPUs for custom LLMs

Key Features

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

How to Use

  1. 1
    Download deepctl command-line tool
  2. 2
    Sign up for an account
  3. 3
    Choose a model from available options
  4. 4
    Use REST API to call the model in production
  5. 5
    Monitor usage and scale as needed

Frequently Asked Questions

Q.What pricing models does Deep Infra offer?

A.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.

Q.What GPUs are used to run the models?

A.All models run on H100 or A100 GPUs, optimized for inference performance and low latency.

Q.How does auto-scaling work?

A.The system automatically scales the model to more hardware based on your needs. Each account is limited to 200 concurrent requests.

Q.Can I deploy my own custom LLMs?

A.Yes, you can deploy your own model on Deep Infra's hardware and pay for uptime, getting dedicated SXM-connected GPUs and automatic scaling.

Q.Are there any usage tiers or limits?

A.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.

Pros & Cons (Reserved)

✓ Pros

  • Cost-effective pay-per-use pricing
  • Scalable infrastructure
  • Easy deployment process
  • Low latency inference
  • Wide range of supported models
  • Dedicated GPUs for custom LLMs

✗ Cons

  • Requires adding a card or pre-paying to use services
  • Usage tiers and invoicing thresholds
  • Limited concurrent requests per account (200)
  • Some models billed for inference execution time, others per token

Alternatives

No alternatives found.