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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Batch facilitates the execution of applications across workstations and clusters, making it simple to enable your executable files and scripts for cloud scalability. It operates a queue system designed to handle tasks you wish to run, effectively executing your applications as needed. To leverage Batch effectively, consider the data that must be uploaded to the cloud for processing, how that data should be allocated across various tasks, the necessary parameters for each job, and the commands required to initiate the processes. Visualize this as an assembly line where different applications interact seamlessly. With Batch, you can efficiently share data across different stages and oversee the entire execution process. It operates on a demand-driven basis rather than adhering to a fixed schedule, allowing customers to run their cloud jobs whenever necessary. Additionally, it's vital to manage user access to Batch and regulate resource utilization while ensuring compliance with requirements like data encryption. Comprehensive monitoring features are in place to provide insight into the system's status and to help quickly identify any issues that may arise, ensuring smooth operation and optimal performance. Furthermore, the flexibility in resource scaling allows for efficient handling of varying workloads, making Batch an essential tool for cloud-enabled applications.

Description

Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects. Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython. Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines).

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
Microsoft Azure

Integrations

Azure Marketplace
Microsoft Azure

Pricing Details

$3.1390 per month
Free Trial
Free Version

Pricing Details

No price information available.
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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/batch

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/bright-cluster-manager

Product Features

Deep Learning

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

HPC

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