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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Effortlessly identify individuals and their postures straight away, with the ability to adjust settings for specific needs. You can also enhance functionality by incorporating your own AI models, whether utilizing TensorFlow Lite models sourced online or creating entirely new ones. This solution is also compatible with Google Coral, proving that developers can indeed have an aesthetic vision! The elegant design of Darcy Cam looks fantastic in both laboratory settings and everyday environments. Equipped with dual Coral AI accelerators and a video sensor, it supports multiple models for real-time efficiency. Establish various network configurations, including multi-cloud, hybrid cloud, and edge-to-edge setups, all with a single command and without the need for open ports, VPNs, or NAT tunnels. Manage all elements of your edge infrastructure directly from the Cloud, including tasks such as provisioning, deployment, orchestration, resource management, monitoring, and updates. Streamline operations by automating workflows integrated with your existing clouds, tools, and applications, while also ensuring seamless connectivity with your current infrastructure via OpenAPI. This comprehensive approach allows for maximum flexibility and efficiency in managing advanced AI capabilities.

Description

The Qualcomm Cloud AI SDK serves as a robust software suite aimed at enhancing the performance of trained deep learning models for efficient inference on Qualcomm Cloud AI 100 accelerators. It accommodates a diverse array of AI frameworks like TensorFlow, PyTorch, and ONNX, which empowers developers to compile, optimize, and execute models with ease. Offering tools for onboarding, fine-tuning, and deploying models, the SDK streamlines the entire process from preparation to production rollout. In addition, it includes valuable resources such as model recipes, tutorials, and sample code to support developers in speeding up their AI projects. This ensures a seamless integration with existing infrastructures, promoting scalable and efficient AI inference solutions within cloud settings. By utilizing the Cloud AI SDK, developers are positioned to significantly boost the performance and effectiveness of their AI-driven applications, ultimately leading to more innovative solutions in the field.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Airstack No 
Amazon Web Services (AWS) No 
Cirrascale No 
Docker No 
EndoAim No 
GIGABYTE Rack Server No 
HPE Apollo No 
Hugging Face No 
ONNX No 
PyTorch No 
Raspberry Pi OS Yes 
TensorFlow No 

Integrations

Airstack Yes 
Amazon Web Services (AWS) Yes 
Cirrascale Yes 
Docker Yes 
EndoAim Yes 
GIGABYTE Rack Server Yes 
HPE Apollo Yes 
Hugging Face Yes 
ONNX Yes 
PyTorch Yes 
Raspberry Pi OS No 
TensorFlow Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Edgeworx

Founded

2017

Country

United States

Website

www.darcy.ai/

Vendor Details

Company Name

Qualcomm

Website

www.qualcomm.com/developer/software/cloud-ai-sdk

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

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