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Description
EnSuite-Lite offers viewers for a wide array of popular CAD formats, ensuring that users can access these files without the need for any CAD software or licenses. The software currently supports various viewers, including those for CATIA V4, V5, V6 (3dxml), SolidWorks, Solid Edge, Inventor, Rhino, JT, Parasolid, ACIS, IGES, STEP, VDA, CGR, DWF, SketchUp, and STL. Additionally, EnSuite-Lite features intuitive tools that allow users to extract precise information from major CAD systems, offering functions such as measuring, bounding box analysis, footprint assessment, model comparison, and many more. Beyond just viewing and productivity tools, EnSuite-Lite also enables data export to IGES, STEP, and 3D PDF formats. The software includes capabilities for measuring various geometric entities within CAD models, providing tools to assess distance and angle, length and radius, area and perimeter, volume and weight, and fillet and chamfer, among others. Furthermore, these robust features make EnSuite-Lite an essential tool for professionals who require accurate and efficient CAD data management.
Description
LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.
API Access
Has API
API Access
Has API
Integrations
C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow
Integrations
C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow
Pricing Details
$1,045 per year
Free Trial
Free Version
Pricing Details
Free
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
CADCAM-E.COM
Founded
1989
Country
United States
Website
www.cadcam-e.com/3DCADVIEWER-TRANSLATOR.aspx
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google.dev/edge/litert
Product Features
CAD Viewers
Annotate
Batch Conversion
Collaboration Tools
Editing
Track Changes
View .DWF Files
View .DWG Files
View .IGES Files
View .STEP Files
View .STL Files
View 2D Files
View 3D Files
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)
