Deployment options for Qualcomm systems
CVEDIA AI models are fully optimized using Qualcomm's SNPE, our runtime automatically determines what's the best engine to use. Which means you can run our solutions out of the box on your chipset.
Optimized for Qualcomm SNPE
Supported use-cases on Qualcomm
Qualcomm chips are small and high powered SoC's which means they can be used in almost any application. We have designed our AI solutions to match that by supporting many industries:
Camera Surveillance
Advanced video analytics for comprehensive monitoring and security.
Smart Cities
AI-powered solutions for urban infrastructure and traffic management.
Robotics
Edge AI capabilities for autonomous robotic systems and automation.
Drones
Real-time AI processing for aerial surveillance and monitoring.
Supported Qualcomm products
We currently run on Qualcomm SoC / SoMs with one or more of the following features. If your target chipset isn't listed, don't worry, we're willing to add it.
Snapdragon CPU
Optimized AI inference on Qualcomm's high-performance Snapdragon processors.
Adreno GPU
Accelerated graphics processing for demanding AI workloads.
AI models optimized for Snapdragon
AI models optimized for RB5 Platform
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Edge Deployment
CVEDIA's synthetic algorithms are optimized to run locally on low power devices, and designed to integrate seamlessly with hardware devices.
Advanced Performance
By employing proprietary synthetic data technology, CVEDIA AI is stronger, more resilient, and better at generalizing.
Runs Anywhere
Our software is not vendor locked, this means that it has been specifically designed to run across all edge devices.
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