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.
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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.
- CategoryMachine Learning Platforms
- Pricing ModelUsage-based
- DeploymentCloud
- PlatformsWeb
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?
Browse models: Explore the catalog of 100+ language, vision, and audio models.
Get an API key: Sign up to access the inference APIs.
Integrate the API: Call the simple API from your application to run inference.
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
