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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 P4d instances are designed for optimal performance in machine learning training and high-performance computing (HPC) applications within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances provide exceptional throughput and low-latency networking capabilities, boasting 400 Gbps instance networking. P4d instances are remarkably cost-effective, offering up to a 60% reduction in expenses for training machine learning models, while also delivering an impressive 2.5 times better performance for deep learning tasks compared to the older P3 and P3dn models. They are deployed within expansive clusters known as Amazon EC2 UltraClusters, which allow for the seamless integration of high-performance computing, networking, and storage resources. This flexibility enables users to scale their operations from a handful to thousands of NVIDIA A100 GPUs depending on their specific project requirements. Researchers, data scientists, and developers can leverage P4d instances to train machine learning models for diverse applications, including natural language processing, object detection and classification, and recommendation systems, in addition to executing HPC tasks such as pharmaceutical discovery and other complex computations. These capabilities collectively empower teams to innovate and accelerate their projects with greater efficiency and effectiveness.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
AWS Deep Learning AMIs
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EC2 UltraClusters
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
IBM Cloud Veeam
Kubernetes
MXNet
Microsoft Azure
PyTorch
Windows 10

Integrations

Amazon Web Services (AWS)
AWS Deep Learning AMIs
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EC2 UltraClusters
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
IBM Cloud Veeam
Kubernetes
MXNet
Microsoft Azure
PyTorch
Windows 10

Pricing Details

$0.0073 per hour
Free Trial
Free Version

Pricing Details

$11.57 per hour
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/p4/

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