DeepView™ 
DevPack
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Flexible Development Tools for NPU, GPU, CPU

Accelerated
Optimization

  • Provides insights on your model’s dynamic range to help predict the conversion efficiency.
     

  • Heatmap visualization to provide developer with context on the multiclass support.
     

  • eIQ Portal Add-On providing developers with the ability to automate parallel training jobs on remote compute platforms.

Immediate 
RESULTS

  • Instantly deploy standard or custom AI models on EVK, Maivin or your own hardware.
     

  • Fully compatible with eIQ® Toolkit graphical development environment for no-code model training and deployment.
     

  • Integration with multiple frameworks to deploy your AI application the way you want.

Best in class
PERFORMANCE

  • Achieve industry leading performance with DeepViewRT™ Inference Engine and DeepView™ VisionPack.
     

  • Ship your product with confidence knowing your vision pipeline is fully optimized for AI compute at the edge.

Commercially
SUPPORTED

  • Build your EdgeFirst AI solution with confidence.
     

  • Long Term Support and stability.
     

  • Documented code provenance.
     

  • Field proven reliability.

DeepView Middleware Evaluation Trials

Go from idea to concept to production faster and with more confidence using our DeepView AI Middleware. We’ve optimized runtime and model performance so you can focus on your vision application.

Click the link below for signup for an evaluation trial of our DeepView VisionPack and DeepView Model Pack.

DeepView VisionPackProduct Brief
Accelerated vision pipeline for NPU,CPU, GPU

DeepView ModelPackProduct Brief
State of the art detection models 

Available

In Flight

In Planning

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Model Insights

Detailed reports showing accuracy and loss compared to input model to help developers gain a deep understanding of quantization behavior. Provides insights on your model’s dynamic range to help predict the conversion efficiency from per channel to per tensor quantization.

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Model Explainability

Framework which extends an RTM model with encoding to support attention mapping. Tools to provide runtime analysis and profiling of graph features with greatest impact on model’s predictions. Heatmap visualization to provide developer with context on the multiclass support.

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Model Training Accelerator

eIQ Portal Add-On providing developers with the ability to automate parallel training jobs on remote compute platforms. Integrated Framework for leveraging on prem server compute resources, GPU farms and external cloud infrastructure

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