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Deploy models. Serve requests. Scale with demand.

Phyper provides dedicated inference environments for companies turning AI models into production applications.

What Phyper Inference Does

A trained model is only valuable when it can serve real users, applications, and business workflows reliably.

Phyper Inference helps customers move from model files to live inference endpoints, with support for deployment setup, access configuration, serving environments, and ongoing operational coordination.

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Model Deployment Paths

Model Deployment Paths

Different customers come to inference from different starting points. Phyper supports multiple deployment paths depending on model ownership, customization level, and production requirements.

Bring Your Own Model

Deploy customer-owned, fine-tuned, or internally developed models on Phyper infrastructure.

Open-Source Model Deployment

Launch selected open-source model families through preconfigured deployment templates and serving environments.

Custom Inference Environment

Build dedicated serving environments around specific model size, access requirements, performance targets, and integration needs.

Getting Started

Tell us what model you want to deploy and how it needs to be served. Phyper will help configure the right inference environment for your performance, access, and scaling requirements.