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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
API Access
Has API
Integrations
Airstack
Amazon Web Services (AWS)
Cirrascale
Docker
EndoAim
GIGABYTE Rack Server
HPE Apollo
Hugging Face
ONNX
PyTorch
Integrations
Airstack
Amazon Web Services (AWS)
Cirrascale
Docker
EndoAim
GIGABYTE Rack Server
HPE Apollo
Hugging Face
ONNX
PyTorch
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization