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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).
Description
BrightAI is a Physical AI platform for monitoring, analyzing, and managing large-scale physical infrastructure. Its Stateful Platform serves as an operating system for infrastructure by combining continuous observability, AI-driven decision-making, and operational action. BrightAI collects real-world information from sensors, inspection systems, wearable devices, and other connected equipment to create a more current view of asset conditions. Its observability toolkit includes Stateful Stickers, autonomous inspection technology, Stateful Wearables, and foundation models designed for physical environments. The platform can process visual, thermal, acoustic, vibration, and other sensor signals to identify anomalies and degradation before they develop into larger operational problems. Applications include detecting pipe deterioration, inspecting power infrastructure, monitoring gas compression equipment, identifying insects in regulated manufacturing environments, and detecting machine friction on production lines. BrightAI also supports autonomous and semi-autonomous inspection workflows that can reduce the need for repetitive manual field inspections and direct workers toward higher-priority issues. The company positions the platform around improving asset uptime, operational throughput, worker productivity, frontline safety, and sustainability through earlier detection of physical-world problems. BrightAI is intended for utilities, industrial operators, infrastructure companies, manufacturers, and field-service organizations managing large numbers of distributed physical assets.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
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
Yes
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
No
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)
No
In Person
No
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/bright-cluster-manager
Vendor Details
Company Name
BrightAI
Founded
2019
Country
United States
Website
www.bright.ai/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
Yes
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
