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What is LeaderGPU?

Standard CPUs are increasingly unable to satisfy the surging requirements for improved computing performance, whereas GPU processors can exceed their capabilities by a staggering margin of 100 to 200 times regarding data processing efficiency. We provide tailored server solutions specifically designed for machine learning and deep learning, showcasing distinct features that set them apart. Our cutting-edge hardware utilizes the NVIDIA® GPU chipset, celebrated for its outstanding operational speed and performance. Among our products, we offer the latest Tesla® V100 cards, which deliver extraordinary processing power for intensive workloads. Our systems are finely tuned for compatibility with leading deep learning frameworks such as TensorFlow™, Caffe2, Torch, Theano, CNTK, and MXNet™. Furthermore, we equip developers with tools that are compatible with programming languages such as Python 2, Python 3, and C++. Notably, we do not impose any additional charges for extra services; thus, disk space and traffic are fully included within the basic service offering. In addition, our servers are adaptable enough to manage various tasks, such as video processing and rendering, enhancing their utility. Clients of LeaderGPU® benefit from immediate access to a graphical interface via RDP, ensuring a smooth and efficient user experience from the outset. This all-encompassing strategy firmly establishes us as the preferred option for individuals in search of dynamic computational solutions, catering to both novice and experienced users alike.

What is AWS Deadline Cloud?

AWS Deadline Cloud is an all-encompassing solution aimed at simplifying render management for groups engaged in the creation of computer-generated imagery and visual effects across various platforms, including films, television, commercials, video games, and industrial design projects. This innovative service allows users to set up, launch, and expand their rendering projects in just a few minutes, significantly boosting the efficiency of rendering processes and making it possible to tackle more projects concurrently. Teams can initiate their work quickly, manage multiple tasks at once, and gain improved oversight of their budgets. Deadline Cloud enables the establishment of a render farm without the complexities of managing backend infrastructure, effectively transforming a process that once required months into one that can be completed in mere minutes thanks to its user-friendly setup. Moreover, it features integrated cost management tools that allow users to set financial limits and monitor usage for each individual project, thus equipping them to keep rendering costs in check and adhere to their budgetary guidelines. With a flexible usage-based licensing approach and a pay-as-you-go pricing structure, customers are billed only for the resources they consume, making this an economical option for various rendering requirements. This level of flexibility not only supports the scaling of operations but also ensures that teams can adapt seamlessly to evolving project demands while optimizing their resource allocation. In this way, AWS Deadline Cloud stands out as a vital asset for any team focused on high-quality visual production.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Autodesk Arnold
Blender
C++
Houdini
MXNet
Maya
NVIDIA DRIVE
Nuke
Python
TensorFlow
Torch
Unreal Engine
V-Ray

Integrations Supported

Amazon Web Services (AWS)
Autodesk Arnold
Blender
C++
Houdini
MXNet
Maya
NVIDIA DRIVE
Nuke
Python
TensorFlow
Torch
Unreal Engine
V-Ray

API Availability

Has API

API Availability

Has API

Pricing Information

€0.14 per minute
Free Trial Offered?
Free Version

Pricing Information

$0.096 per GB per month
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

LeaderGPU

Company Location

Netherlands

Company Website

www.leadergpu.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/deadline-cloud/

Categories and Features

Categories and Features

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