# Qualcomm AI Hub

Optimize, validate, and deploy models for Qualcomm devices with hosted profiling, a model library, and sample apps.

- Findings24: <https://findings24.com/pt/tools/qualcomm-ai-hub>
- Site: <https://aihub.qualcomm.com/genai>
- Preços: Freemium
- Categorias: Implantação de modelos de IA, Hubs de modelos de IA

## O que é Qualcomm AI Hub?

Qualcomm AI Hub helps developers prepare AI models for use on Qualcomm devices. With Workbench, submit a trained PyTorch or ONNX model for conversion to LiteRT, ONNX Runtime, or Qualcomm AI Runtime. Quantize or fine-tune the model, then run inference and profile it on more than 50 types of hosted Qualcomm devices.

The hub also provides a catalog of more than 300 optimized ML and generative AI models, sample apps with bundled models, and GenieX, an open-source toolkit for running generative AI models locally on NPU, GPU, or CPU. The four components can be used independently or together.

## O que Qualcomm AI Hub pode fazer?

### Model conversion and optimization

Bring a trained PyTorch or ONNX model to Workbench, convert it for LiteRT, ONNX Runtime, or Qualcomm AI Runtime, and quantize or fine-tune it for accuracy.

### Hosted device profiling

Run inference and profile model performance on more than 50 types of hosted Qualcomm devices.

### Optimized model catalog

Browse more than 300 optimized ML and generative AI models, compare performance metrics, and find model assets for Qualcomm devices. Model licenses vary.

### Sample apps and GenieX

Customize sample app repositories with a model already bundled, or use GenieX, an open-source toolkit with a unified runtime for NPU, GPU, and CPU.

## Casos de uso

### Prepare a trained model for a Qualcomm device

Bring a PyTorch or ONNX model to Workbench for conversion to an on-device runtime and optimization.

### Profile inference before integration

Run and profile a model on hosted Qualcomm device types to inspect its device-specific performance before using it in an app.

### Compare model candidates

Use the model catalog’s performance metrics to compare optimized ML and generative AI models for a Qualcomm device.

### Prototype an on-device application

Start with a sample app repository that includes a model, or use GenieX to run a compatible generative AI model locally on NPU, GPU, or CPU.

## Perguntas frequentes

### What does Qualcomm AI Hub include?

It brings together Workbench, Models, Apps, and GenieX for on-device AI development on Qualcomm devices. The four components can be used independently or together.

### How do I start using Workbench?

Create a Qualcomm ID, install the qai-hub Python package, and configure it with the API token in Workbench account settings. Run qai-hub list-devices to verify setup.

### Are Workbench and AI Hub models free?

Workbench is currently free to use. Some models supplied by model makers are for purchase under their licenses; models marked download now are free and open. Check each model page for its license.

### What model inputs and runtimes does Workbench support?

Workbench can convert trained PyTorch or ONNX models for LiteRT, ONNX Runtime, or Qualcomm AI Runtime. It also supports quantization, fine-tuning, inference, and profiling on hosted Qualcomm devices.

## Informações rápidas

- **Product**: On-device AI development for Qualcomm devices
- **Workbench inputs**: Trained PyTorch and ONNX models
- **Hosted device coverage**: 50+ types of Qualcomm devices
- **Model catalog**: 300+ optimized ML and generative AI models
- **Workbench setup**: Qualcomm ID and an AI Hub API token