About Pruna
Pruna delivers production-ready performance AI models (P-Image and P-Image-Edit) via API, self-hosted deployments, or an open-source library. It targets developers and organizations building AI-powered applications and aims to deliver fast, cost-efficient, and sustainable inference at scale with flexible deployment options.
Key Features
Pruna’s core functionality addresses the need for fast, scalable AI inference across environments, so teams can choose API access, on-premise deployment, or self-contained libraries depending on data residency and latency requirements:
API Access
Access production-ready performance models through simple APIs with no setup or fine-tuning; production-ready from the first call.
Self-Hosted Deployment
Deploy Pruna models in your infrastructure, enabling on-prem control and faster, localized inference.
Open-Source Library
Run Pruna in your own environment with a pre-packaged library designed for straightforward deployment.
Performance and Cost Efficiency
Inference is faster, cheaper per run, and greener compared with typical alternatives.
Summary
Best for product engineering teams, ML engineers integrating AI features, and operations teams optimizing deployment costs.
Pricing
View pricingP-Image
$0.005 / Per run
- 0.6s Inference time
P-Image-Edit
$0.010 / Per run
- 0.9s Inference time
Flux-Fast
$0.050 / Per run
- 1s Inference time
- LoRA support
Flux-Dev-LoRA
$0.010 / Per run
- 1.3s Inference time
- LoRA support
Qwen-Image
$0.025 / Per run
- 3.5s Inference time
Qwen-Image-Edit-Plus
$0.030 / Per run
- 6.4s Inference time
