DeepInfra: High-Performance AI Inference for Developers

DeepInfra is a developer-focused AI inference platform that provides cloud-based access to a wide range of high-performance machine learning models. Designed for seamless integration and scalability, DeepInfra enables developers to deploy and run AI models with low latency and high throughput, supporting applications in text generation, image creation, speech recognition, and more. The platform caters to developers, startups, and enterprises seeking flexible, cost-efficient AI solutions with robust API support and advanced features like function calling, multimodal models, and custom deployments. With a focus on privacy, security, and performance, DeepInfra offers a comprehensive suite of tools and infrastructure to power modern AI applications.

Key Features:

• Extensive Model Library: Access to over 100 AI models across text, image, audio, and embedding categories from leading families including Llama, Claude, Gemini, DeepSeek, Qwen, Mistral, and Flux.
• Developer-Friendly APIs: OpenAI-compatible API and DeepInfra Native API with support for REST, Python, and JavaScript.
• Advanced Inference Capabilities: Features such as function calling, JSON mode, log probabilities, and support for long-context models (up to 256k tokens).
• Custom Deployment Options: Dedicated GPU instances (A100, H100, H200, B200), custom LLMs, and LoRA adapter models for tailored AI workloads.
• Scalable Infrastructure: Auto-scaling with up to 200 concurrent requests per account and high-throughput, low-latency inference.
• Integration Ecosystem: Compatible with LangChain, LlamaIndex, AI SDK, AutoGen, and Okta SSO for streamlined development.
• Management Dashboard: Centralized control for monitoring tokens, deployments, usage, and logs.
• Security & Compliance: SOC 2 and ISO 27001 certified, zero retention policy, and secure US-based data centers.
• High-Fidelity Image Generation: Live support for FLUX.2, enabling high-quality text-to-image capabilities.
• NVIDIA Nemotron Support: Access to vision, retrieval, and AI safety models.

Pricing: DeepInfra operates on a usage-based pricing model with no long-term contracts. Costs are calculated based on input and output tokens for text models, per-image or per-minute for image and audio models, and per minute for custom GPU deployments. Billing is tiered, with automatic invoicing at thresholds of $20, $100, $500, $2,000, and $10,000. Custom solutions are available through dedicated support.

Conclusion: DeepInfra is a powerful, flexible, and secure AI inference platform that empowers developers and businesses to deploy cutting-edge AI models at scale. With its extensive model library, developer-centric tools, and cost-effective usage-based pricing, DeepInfra is an ideal choice for teams looking to build and deploy high-performance AI applications with ease.