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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

Accelerate computational tasks such as those found in machine learning and high-performance computing (HPC) with a diverse array of GPUs suited for various performance levels and budget constraints. With adaptable pricing and customizable machines, you can fine-tune your setup to enhance your workload efficiency. Google Cloud offers high-performance GPUs ideal for machine learning, scientific analyses, and 3D rendering. The selection includes NVIDIA K80, P100, P4, T4, V100, and A100 GPUs, providing a spectrum of computing options tailored to meet different cost and performance requirements. You can effectively balance processor power, memory capacity, high-speed storage, and up to eight GPUs per instance to suit your specific workload needs. Enjoy the advantage of per-second billing, ensuring you only pay for the resources consumed during usage. Leverage GPU capabilities on Google Cloud Platform, where you benefit from cutting-edge storage, networking, and data analytics solutions. Compute Engine allows you to easily integrate GPUs into your virtual machine instances, offering an efficient way to enhance processing power. Explore the potential uses of GPUs and discover the various types of GPU hardware available to elevate your computational projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon CloudFront
Amazon Web Services (AWS)
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
IBM Cloud Veeam
Kubernetes
Microsoft Azure
NVIDIA DRIVE
VMware Cloud
Windows 10

Integrations

Amazon CloudFront
Amazon Web Services (AWS)
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
IBM Cloud Veeam
Kubernetes
Microsoft Azure
NVIDIA DRIVE
VMware Cloud
Windows 10

Pricing Details

$0.0073 per hour
Free Trial
Free Version

Pricing Details

$0.160 per GPU
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

Google

Founded

1998

Country

United States

Website

cloud.google.com/gpu

Product Features

Cloud Storage

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

Product Features

HPC

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

Alternatives