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What is Full Convert?

Migrating your data to a new database has become increasingly straightforward. We support all major types of databases, including legacy systems, modern solutions, file-based, relational, on-premises, and cloud-hosted options. Our application has undergone extensive testing and optimization for peak performance. For those managing large databases, our Ultimate version allows for the simultaneous transfer of multiple tables, making the process even more efficient. If you're contemplating the use of your own scripts, be aware that this approach can lead to significant risks of data errors and omissions. Rather than redirecting precious developer time, let our expertise enhance your workflow. Our software is designed to shield you from the intricate challenges posed by different database environments. You have the option to employ advanced mapping and customization features; however, your data will be transferred smoothly with no need for alterations. Additionally, our intuitive interface guarantees that even individuals with limited technical skills can navigate the migration process with ease. Ultimately, our goal is to provide a seamless experience that saves you time and minimizes risks.

What is Exafunction?

Exafunction significantly boosts the effectiveness of your deep learning inference operations, enabling up to a tenfold increase in resource utilization and savings on costs. This enhancement allows developers to focus on building their deep learning applications without the burden of managing clusters and optimizing performance. Often, deep learning tasks face limitations in CPU, I/O, and network capabilities that restrict the full potential of GPU resources. However, with Exafunction, GPU code is seamlessly transferred to high-utilization remote resources like economical spot instances, while the main logic runs on a budget-friendly CPU instance. Its effectiveness is demonstrated in challenging applications, such as large-scale simulations for autonomous vehicles, where Exafunction adeptly manages complex custom models, ensures numerical integrity, and coordinates thousands of GPUs in operation concurrently. It works seamlessly with top deep learning frameworks and inference runtimes, providing assurance that models and their dependencies, including any custom operators, are carefully versioned to guarantee reliable outcomes. This thorough approach not only boosts performance but also streamlines the deployment process, empowering developers to prioritize innovation over infrastructure management. Additionally, Exafunction’s ability to adapt to the latest technological advancements ensures that your applications stay on the cutting edge of deep learning capabilities.

Media

Media

Integrations Supported

PyTorch
TensorFlow

Integrations Supported

PyTorch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

$299 one-time payment
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spectral Core

Date Founded

2001

Company Location

United Kingdom

Company Website

www.spectralcore.com

Company Facts

Organization Name

Exafunction

Company Website

exafunction.com

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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