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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 Amazon EC2 G4 Instances?

Amazon EC2 G4 instances are meticulously engineered to boost the efficiency of machine learning inference and applications that demand superior graphics performance. Users have the option to choose between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) based on their specific needs. The G4dn instances merge NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing an ideal combination of processing power, memory, and networking capacity. These instances excel in various applications, including the deployment of machine learning models, video transcoding, game streaming, and graphic rendering. Conversely, the G4ad instances, which feature AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, present a cost-effective solution for managing graphics-heavy tasks. Both types of instances take advantage of Amazon Elastic Inference, enabling users to incorporate affordable GPU-enhanced inference acceleration to Amazon EC2, which helps reduce expenses tied to deep learning inference. Available in multiple sizes, these instances are tailored to accommodate varying performance needs and they integrate smoothly with a multitude of AWS services, such as Amazon SageMaker, Amazon ECS, and Amazon EKS. Furthermore, this adaptability positions G4 instances as a highly appealing option for businesses aiming to harness the power of cloud-based machine learning and graphics processing workflows, thereby facilitating innovation and efficiency.

Media

Media

Integrations Supported

AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
C++
CUDA
MXNet
NVIDIA DRIVE
OpenGL
Python
TensorFlow
Torch

Integrations Supported

AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
C++
CUDA
MXNet
NVIDIA DRIVE
OpenGL
Python
TensorFlow
Torch

API Availability

Has API

API Availability

Has API

Pricing Information

€0.14 per minute
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

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/ec2/instance-types/g4/

Categories and Features

Categories and 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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