DeepInfra

Description

DeepInfra is an AI inference platform that provides cost-effective, scalable, and production-ready access to machine learning models through simple, developer-friendly APIs. It is built for teams that want to run large language models and other deep-learning models without managing their own infrastructure.

The platform offers more than 100 models, including DeepSeek, Qwen, Llama, Gemini, Gemma, Kimi, Nemotron, Claude, Phi, Mistral, and Voxtral speech-to-text models, letting teams optimize for cost, latency, throughput, or scale. Pricing is pay-as-you-go with no long-term contracts, upfront costs, or hidden fees: language models are typically billed per input and output token, while most other models are billed by inference execution time. Live inference metrics give end-to-end visibility into speed, scale, stability, and spend.

DeepInfra runs on its own inference-optimized hardware in secure US-based data centers, and offers dedicated NVIDIA GPU clusters with full ownership, Tier 3 data centers, and a 99.982% uptime SLA. It follows a zero-retention policy so inputs, outputs, and user data stay private, and is SOC 2 and ISO 27001 certified. The company has raised a $107M Series B to scale its inference cloud.

DeepInfra's Core Features

• Developer-friendly APIs for AI inference

• 100+ models including DeepSeek, Qwen, Llama, Gemini, and Claude

• Pay-as-you-go pricing with no contracts or hidden fees

• Per-token or per-execution-time billing depending on model

• Live inference metrics for speed, scale, stability, and spend

• Dedicated NVIDIA GPU clusters with a 99.982% uptime SLA

• Zero-retention policy keeping inputs and outputs private

• SOC 2 and ISO 27001 certified, US-based data centers

How to use DeepInfra?

1. 1

   Browse models: Explore the catalog of 100+ language, vision, and audio models.

2. 2

   Get an API key: Sign up to access the inference APIs.

3. 3

   Integrate the API: Call the simple API from your application to run inference.

4. 4

   Scale and monitor: Track live metrics and scale up or down as your needs change.

DeepInfra's Use Cases

• LLM API access
• Cost-optimized inference
• Scalable production deployments
• Dedicated GPU clusters
• Privacy-sensitive applications

FAQ from DeepInfra

• What does DeepInfra offer?

  DeepInfra provides cost-effective, scalable, production-ready machine learning models and infrastructure through developer-friendly APIs for AI inference.

• How is pricing structured?

  Pricing is pay-as-you-use with no long-term contracts or upfront costs. Language models are typically billed per token, while most other models are billed by inference execution time.

• Which models are available?

  DeepInfra hosts 100+ models, including DeepSeek, Qwen, Llama, Gemini, Gemma, Kimi, Nemotron, Claude, Phi, Mistral, and Voxtral.

• How does DeepInfra handle data privacy?

  It follows a zero-retention policy so your inputs, outputs, and user data stay private, and it is SOC 2 and ISO 27001 certified.

• Where does inference run?

  DeepInfra runs on its own inference-optimized infrastructure in secure US-based data centers, with dedicated NVIDIA GPU clusters available.

• Can it scale for enterprise workloads?

  Yes. DeepInfra scales to trillions of tokens and offers dedicated GPU clusters with full ownership, Tier 3 data centers, and a 99.982% uptime SLA.