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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Traditional CPUs are struggling to meet the growing demands for enhanced computing capabilities, while GPU processors can outperform them by a factor of 100 to 200 in terms of data processing speed. We offer specialized servers tailored for machine learning and deep learning, featuring unique capabilities. Our advanced hardware incorporates the NVIDIA® GPU chipset, renowned for its exceptional operational speed. Among our offerings are the latest Tesla® V100 cards, which boast remarkable processing power. Our systems are optimized for popular deep learning frameworks such as TensorFlow™, Caffe2, Torch, Theano, CNTK, and MXNet™. We provide development tools that support programming languages including Python 2, Python 3, and C++. Additionally, we do not impose extra fees for additional services, meaning that disk space and traffic are fully integrated into the basic service package. Moreover, our servers are versatile enough to handle a range of tasks, including video processing and rendering. Customers of LeaderGPU® can easily access a graphical interface through RDP right from the start, ensuring a seamless user experience. This comprehensive approach positions us as a leading choice for those seeking powerful computational solutions.

Description

Luminoth is an open-source framework designed for computer vision applications, currently focusing on object detection but with aspirations to expand its capabilities. As it is in the alpha stage, users should be aware that both internal and external interfaces, including the command line, are subject to change as development progresses. For those interested in utilizing GPU support, it is recommended to install the GPU variant of TensorFlow via pip with the command pip install tensorflow-gpu; alternatively, users can opt for the CPU version by executing pip install tensorflow. Additionally, Luminoth offers the convenience of installing TensorFlow directly by using either pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the desired TensorFlow version. Overall, Luminoth represents a promising tool in the evolving landscape of computer vision technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
TensorFlow
C++
GitHub
Google Cloud AutoML
Google Cloud Platform
MXNet
NVIDIA DRIVE
Torch

Integrations

Python
TensorFlow
C++
GitHub
Google Cloud AutoML
Google Cloud Platform
MXNet
NVIDIA DRIVE
Torch

Pricing Details

€0.14 per minute
Free Trial
Free Version

Pricing Details

Free
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

LeaderGPU

Country

Netherlands

Website

www.leadergpu.com

Vendor Details

Company Name

luminoth

Website

pypi.org/project/luminoth/

Product Features

Alternatives

Alternatives

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