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What is Whizible?

The information architecture underpinning the Services Business is crucial for achieving operational success. Excelling in this industry depends on a cohesive execution model that promotes better decision-making and proactive performance management through real-time insights into project developments. To establish such a flexible and responsive model, a solid framework is necessary. Whizible Execution acts as this essential information architecture for organizations dedicated to service delivery. While possessing the right resources is important, the way those resources are applied is even more significant. Numerous companies grapple with insufficient information about resource utilization and encounter difficulties in planning for future projects. Although resource shortages are a common issue, optimizing the use of current resources can offer a practical remedy. Whizible Execution equips resource managers with the tools to assess resource availability and usage accurately, enabling organizations to effectively tackle their operational hurdles. This solution not only simplifies resource management but also significantly improves overall project outcomes, fostering a more efficient operational environment. Moreover, by utilizing such a framework, organizations can better align their strategies with market demands.

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

Pricing not provided.
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

Lifeline Systech Solutions

Company Location

India

Company Website

www.lifeline-sys.com/product/whizible-execution

Company Facts

Organization Name

Exafunction

Company Website

exafunction.com

Categories and Features

Project Management

Agile Methodologies
Budget Management
Client Portal
Collaboration Tools
Cost-to-Completion Tracking
Customizable Templates
Gantt Charts
Idea Management
Kanban Board
Milestone Tracking
Portfolio Management
Resource Management
Time & Expense Tracking
Traditional Methodologies

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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