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Average Ratings 0 Ratings

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ease
features
design
support

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Description

AceCloud serves as an all-encompassing public cloud and cybersecurity solution, aimed at providing businesses with a flexible, secure, and efficient infrastructure. The platform's public cloud offerings feature a range of computing options tailored for various needs, including RAM-intensive, CPU-intensive, and spot instances, along with advanced GPU capabilities utilizing NVIDIA models such as A2, A30, A100, L4, L40S, RTX A6000, RTX 8000, and H100. By delivering Infrastructure as a Service (IaaS), it allows users to effortlessly deploy virtual machines, storage solutions, and networking resources as needed. Its storage offerings include object and block storage, along with volume snapshots and instance backups, all designed to maintain data integrity and ensure easy access. In addition, AceCloud provides managed Kubernetes services for effective container orchestration and accommodates private cloud setups, offering options such as fully managed cloud solutions, one-time deployments, hosted private clouds, and virtual private servers. This holistic approach enables organizations to optimize their cloud experience while enhancing security and performance.

Description

Amazon EC2 G4 instances are specifically designed to enhance the performance of machine learning inference and applications that require high graphics capabilities. Users can select between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) according to their requirements. The G4dn instances combine NVIDIA T4 GPUs with bespoke Intel Cascade Lake CPUs, ensuring an optimal mix of computational power, memory, and networking bandwidth. These instances are well-suited for tasks such as deploying machine learning models, video transcoding, game streaming, and rendering graphics. On the other hand, G4ad instances, equipped with AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, offer a budget-friendly option for handling graphics-intensive workloads. Both instance types utilize Amazon Elastic Inference, which permits users to add economical GPU-powered inference acceleration to Amazon EC2, thereby lowering costs associated with deep learning inference. They come in a range of sizes tailored to meet diverse performance demands and seamlessly integrate with various AWS services, including Amazon SageMaker, Amazon ECS, and Amazon EKS. Additionally, this versatility makes G4 instances an attractive choice for organizations looking to leverage cloud-based machine learning and graphics processing capabilities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
AMD Radeon ProRender
Amazon CloudFront
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
CUDA
IBM Cloud Veeam
Kubernetes
Microsoft Azure
OpenGL
Red Hat Cloud Suite
VMware Cloud
Windows 10

Integrations

Amazon Web Services (AWS)
AMD Radeon ProRender
Amazon CloudFront
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
CUDA
IBM Cloud Veeam
Kubernetes
Microsoft Azure
OpenGL
Red Hat Cloud Suite
VMware Cloud
Windows 10

Pricing Details

$0.0073 per hour
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

AceCloud

Country

United States

Website

acecloud.ai/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/ec2/instance-types/g4/

Product Features

Cloud Storage

Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control

Product Features

Deep Learning

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

HPC

Alternatives

Alternatives

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