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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

IONOS Cloud Cubes offer budget-friendly virtual server instances that are tailored to deliver adaptable computing power for a diverse array of cloud-based tasks. Each Cube operates as a virtual machine equipped with virtual CPU resources, RAM, and a directly linked NVMe storage volume, ensuring rapid performance for various applications and services. This setup empowers users to establish separate computing environments suitable for development, testing, staging, or executing lightweight production tasks such as web applications. Furthermore, Cloud Cubes seamlessly integrate into the IONOS Cloud ecosystem and can work in conjunction with other services like the Compute Engine within the same virtual data center, allowing businesses to effectively pool resources and scale their infrastructure as required. Users have the flexibility to visually configure and manage their Cubes using the Data Center Designer interface or opt for automation through APIs, SDKs, and configuration management tools, streamlining their operational processes. Ultimately, this versatility makes Cloud Cubes an appealing choice for businesses aiming to enhance their cloud computing capabilities.

Description

Create a robust NVMe over Fabrics high-performance shared storage solution with MayaScale that allows for the integration of directly attached NVMe resources into a unified storage pool. This solution enables the flexible provisioning of NVMe namespaces to clients who require high performance with minimal latency. After usage, clients have the option to return NVMe storage back to the shared pool, eliminating issues associated with over-provisioning or unutilized NVMe storage typical of direct-attached setups. The network-agnostic architecture employs RDMA for on-premises deployments and standard TCP for cloud environments, ensuring versatility. Clients can access true NVMe devices using a conventional NVMe driver stack, negating the need for any proprietary drivers. You can easily configure and implement NVMe over Fabrics SAN infrastructure at rack scale in your data center by aggregating diverse NVMe devices through RDMA-compatible connections, such as ROCE, iWARP, or Infiniband. Furthermore, even in public cloud settings, users can harness the benefits of NVMe over Fabrics via the standard TCP/IP protocol, which eliminates the requirement for specialized RDMA hardware or SRIOV virtualization. This innovative approach optimizes resource utilization while maintaining high performance across various deployment scenarios.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
Amazon
Amazon RDS
Google Cloud Platform
IONOS
Microsoft Azure
MongoDB
MySQL Workbench
Oracle Cloud Infrastructure FastConnect
Red Hat CloudForms

Integrations

AWS Marketplace
Amazon
Amazon RDS
Google Cloud Platform
IONOS
Microsoft Azure
MongoDB
MySQL Workbench
Oracle Cloud Infrastructure FastConnect
Red Hat CloudForms

Pricing Details

$0.008 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

IONOS

Founded

1988

Country

Germany

Website

cloud.ionos.com/compute/cloud-cubes

Vendor Details

Company Name

ZettaLane Systems

Founded

2018

Website

www.zettalane.com/maya-nvmeof-linux-rdma-tcp.html

Product Features

VPS Hosting

Access Control / Permissions
FTP
Managed VPS
Multi-Server Management
One-Click Apps
Root Access
SSD Storage
Unmanaged VPS
Upload Custom ISO

Product Features

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