DeepInfra
What is DeepInfra?
DeepInfra is an AI model serving and inference platform that provides APIs for running machine learning and generative AI models in production. Developers can access hosted text-generation, image-generation, speech, embedding, and other models without operating the underlying inference infrastructure.
Key Capabilities
- Hosts a catalog of more than 100 models from providers including DeepSeek, Qwen, Moonshot AI, NVIDIA, and Z.ai.
- Provides APIs for text generation, text-to-image, text-to-speech, embeddings, and multimodal inference workloads.
- Supports model selection based on cost, latency, throughput, context-window requirements, and workload type.
- Offers pay-as-you-go inference access and GPU instance options.
- Provides dedicated NVIDIA GPU cluster deployments through DeepCluster.
- Includes usage and performance metrics for tokens per second, time to first token, requests per second, and infrastructure capacity.
Audience & Use Cases
DeepInfra is intended for developers, AI engineering teams, and organizations that need hosted model inference for applications, agent workflows, coding tools, research systems, customer-facing AI features, and high-throughput generative AI workloads. It supports teams that want to use open-weight and third-party models without self-hosting model-serving infrastructure.
Technical Specifications
DeepInfra operates inference infrastructure in U.S.-based data centers and offers shared API access, on-demand GPU instances, and dedicated GPU cluster deployments. The vendor states that it applies a zero-retention policy to inputs, outputs, and user data and maintains SOC 2 and ISO 27001 certifications. Model APIs support token-based inference workloads, with model-specific context-window, throughput, and pricing configurations.
Categories & Use Cases
Technical Details
| Mobile Application | No |
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FAQs
What is DeepInfra?
DeepInfra is an AI model serving and inference platform that provides APIs for running machine learning and generative AI models in production. Developers can access hosted text-generation, image-generation, speech, embedding, and other models without operating the underlying inference infrastructure.