Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The ABEJA platform represents a groundbreaking AI solution that integrates state-of-the-art technologies, including IoT, Big Data, and Deep Learning. In 2013, the volume of data circulated reached 4.4 zettabytes, and this figure is projected to soar to 44 zettabytes by 2020. This raises critical questions about how we can efficiently gather and leverage such vast and varied data sets, as well as how we can extract new insights from them. The ABEJA Platform stands out as one of the most sophisticated AI technologies globally, addressing the increasingly complex technological challenges ahead by facilitating the effective use of diverse data types. It offers advanced capabilities for image analysis through Deep Learning and processes extensive data swiftly with its cutting-edge decentralized architecture. Furthermore, it employs Machine Learning and Deep Learning techniques to analyze the amassed data, making it straightforward to share analysis results across different systems via API. As the data landscape continues to evolve, the need for such innovative platforms becomes ever more critical.
Description
Exafunction enhances the efficiency of your deep learning inference tasks, achieving up to a tenfold increase in resource utilization and cost savings. This allows you to concentrate on developing your deep learning application rather than juggling cluster management and performance tuning. In many deep learning scenarios, limitations in CPU, I/O, and network capacities can hinder the optimal use of GPU resources. With Exafunction, GPU code is efficiently migrated to high-utilization remote resources, including cost-effective spot instances, while the core logic operates on a low-cost CPU instance. Proven in demanding applications such as large-scale autonomous vehicle simulations, Exafunction handles intricate custom models, guarantees numerical consistency, and effectively manages thousands of GPUs working simultaneously. It is compatible with leading deep learning frameworks and inference runtimes, ensuring that models and dependencies, including custom operators, are meticulously versioned, so you can trust that you're always obtaining accurate results. This comprehensive approach not only enhances performance but also simplifies the deployment process, allowing developers to focus on innovation instead of infrastructure.
API Access
Has API
No
API Access
Has API
No
Integrations
PyTorch
No
TensorFlow
No
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
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
ABEJA
Founded
2012
Country
Japan
Website
abejainc.com/platform/en/
Vendor Details
Company Name
Exafunction
Website
exafunction.com
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
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
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