Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ClayReality revolutionizes our interaction with the physical world by providing an immersive 3D experience. Its design is compatible with a variety of hardware and is energy-efficient, making it perfect for lightweight devices that demand minimal power consumption while also catering to high-performance applications that need exceptional precision. Our leading-edge models utilize Qualcomm’s dual monochrome cameras for six degrees of freedom (6DoF) and spatial mapping, allowing manufacturers to implement hand tracking without the necessity for additional hardware. Furthermore, our technology is tailored for Snapdragon XR platforms, ensuring reduced CPU usage compared to competing solutions. Users can enjoy a heightened sense of immersion through sophisticated and intuitive interactivity. Additionally, you can craft a personalized user experience tailored to distinct interfaces across entertainment, corporate training, and beyond. With refresh rates that surpass human perception, ClayReality continuously adapts to dynamic environments, ensuring unparalleled accuracy in hand tracking and gesture recognition for augmented and virtual reality applications. This adaptability guarantees that users experience seamless interaction, enhancing overall engagement and satisfaction.
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
No
API Access
Has API
Yes
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
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
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
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Clay
Founded
2014
Country
United States
Website
clayair.io/product/clay-reality/
Vendor Details
Company Name
Qualcomm
Website
www.qualcomm.com/developer/software/cloud-ai-sdk
Product Features
Augmented Reality
3D Objects
No
3D Product Visualization
No
Application Development
No
Content Creation
No
Cross-Device Publishing
No
Drag & Drop
No
For Mapping
No
For Sales
No
For Training / Education
No
Object Recognition
No
Simulation
No
Usage Tracking / Analytics
No
Virtual Reality
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