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Deep Infra
Fast ML Inference, Simple API

What is Deep Infra?

Deep Infra is a powerful, self-serve machine learning platform that enables users to deploy and access state-of-the-art AI models through a simple REST API. The platform offers a comprehensive selection of models for text generation, image creation, speech recognition, and text-to-speech conversion.

Running on high-performance H100 and A100 GPUs, Deep Infra provides low-latency inference with automatic scaling capabilities. The platform features a transparent pay-per-use pricing model, eliminating the need for upfront costs or long-term commitments while ensuring optimal cost efficiency and performance.

Features

  • Low Latency: Multi-region deployment with fast network connectivity
  • Auto Scaling: Automatic infrastructure scaling based on demand
  • Cost Effective: Pay-per-use pricing with no upfront costs
  • Simple Integration: Easy-to-use REST API interface
  • High Performance: Runs on H100 and A100 GPUs
  • Multi-Model Support: Access to hundreds of popular ML models
  • Usage-Based Billing: Per-token or execution time pricing
  • Automatic Resource Management: No MLOps needed

Use Cases

  • Language Model Inference
  • Image Generation
  • Speech Recognition
  • Text-to-Speech Conversion
  • Custom Model Deployment
  • Production AI Applications
  • Scalable API Services
  • Enterprise AI Solutions

FAQs

  • What types of GPUs does Deep Infra use?
    Deep Infra uses Nvidia A100, H100, and H200 GPUs for inference operations.
  • How is billing calculated?
    Billing is based on either per-token usage for language models or execution time for other models like SDXL and Whisper.
  • What is the concurrent request limit?
    Each account is limited to 200 concurrent requests by default. Higher limits can be requested.
  • How does the usage tier system work?
    Users progress through usage tiers based on spending, with each tier having different invoicing thresholds ranging from $20 to $10,000.

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Deep Infra Uptime Monitor

Average Uptime

97.28%

Average Response Time

122.37 ms

Last 30 Days

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