Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Zebra Savanna cloud data platform offers valuable insights into workflows and enhances next-generation applications by collecting and analyzing real-time data from the edge, thereby forming systems that provide optimal guidance for workers on the spot. It effectively integrates with your current hardware, software, and data networks to support the digitization and automation of businesses. Furthermore, Zebra Savanna provides accessible, unified APIs and developer tools that enable the rapid and secure creation of scalable digital services. Thanks to the enhanced API layer available on Zebra Savanna, Zebra Data Services empowers partners and developers to innovate, design, and swiftly launch applications that assist customers in transforming their operations, thus fostering an ecosystem that reaches well beyond the Zebra brand. Acting as the cornerstone of a new suite of enterprise applications and solutions, Zebra Savanna aims to revolutionize the manner in which organizations enhance their performance and efficiency in the digital age. This creates new opportunities for collaboration and innovation among businesses, ultimately leading to a more interconnected and dynamic marketplace.
Description
Mipsology's Zebra acts as the perfect Deep Learning compute engine specifically designed for neural network inference. It efficiently replaces or enhances existing CPUs and GPUs, enabling faster computations with reduced power consumption and cost. The deployment process of Zebra is quick and effortless, requiring no specialized knowledge of the hardware, specific compilation tools, or modifications to the neural networks, training processes, frameworks, or applications. With its capability to compute neural networks at exceptional speeds, Zebra establishes a new benchmark for performance in the industry. It is adaptable, functioning effectively on both high-throughput boards and smaller devices. This scalability ensures the necessary throughput across various environments, whether in data centers, on the edge, or in cloud infrastructures. Additionally, Zebra enhances the performance of any neural network, including those defined by users, while maintaining the same level of accuracy as CPU or GPU-based trained models without requiring any alterations. Furthermore, this flexibility allows for a broader range of applications across diverse sectors, showcasing its versatility as a leading solution in deep learning technology.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Caffe
No
MobiWork
Yes
Overhaul
Yes
TensorFlow
No
Integrations
Amazon Web Services (AWS)
Yes
Caffe
Yes
MobiWork
No
Overhaul
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Zebra Technologies
Founded
1969
Country
United States
Website
www.zebra.com/us/en/products/software/mobile-computers/workforce-connect.html
Vendor Details
Company Name
Mipsology
Country
United States
Website
mipsology.com
Product Features
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
IoT Analytics
Activity Dashboard
No
Activity Tracking
No
Analytics
No
Asset Tracking
No
Data Collection
No
Data Synchronization
No
Data Visualization
No
ETL
No
Multiple Data Sources
No
Performance Analysis
No
Real-Time Analytics
No
Real-Time Data
No
Real-Time Monitoring
No
Status Tracking
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