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What is Nextify?

Nextify acts as a cloud infrastructure platform that facilitates the provisioning and management of diverse virtual machines, including those for confidential computing, GPU instances, and necessary networking and storage options. The platform is equipped with both shared and dedicated vCPU options driven by AMD EPYC processors, featuring secure VMs with AMD SEV-SNP technology that ensures encrypted guest memory, a virtual TPM, and remote attestation capabilities. In addition, it offers GPU VMs powered by AMD Radeon AI PRO R9700 graphics cards, which are ideal for high-performance computing requirements. Users can attach NVMe-backed block storage, create snapshots, and establish S3-compatible object storage buckets, while also benefiting from public IPv4 addresses, firewalls, private networks, VPN gateways, and load balancers. Resource management is facilitated through a web portal or a REST API and command-line interface, which allows for automation via scripts, CI pipelines, and Terraform configurations. Moreover, compute instances are billed hourly, with a maximum monthly cap, making them suitable for a wide range of applications such as web services, development and test environments, databases, build jobs, GPU inference, fine-tuning, and rendering tasks. This extensive range of features positions Nextify as a robust solution for businesses aiming to optimize their cloud infrastructure management while addressing various operational demands. Ultimately, the platform's versatility ensures it can adapt to the evolving technological landscape and meet diverse customer needs.

What is MayaScale?

Develop a comprehensive NVMe over Fabrics shared storage solution using MayaScale that facilitates the incorporation of directly attached NVMe resources into a cohesive storage pool. This system allows for dynamic allocation of NVMe namespaces to clients seeking superior performance with low latency. After their requirements are met, clients can easily return NVMe storage to the collective pool, effectively addressing the common challenges of over-provisioning and wasted NVMe resources often seen in direct-attached architectures. The architecture is network-agnostic, utilizing RDMA for on-premises setups and standard TCP for cloud-based environments, which enhances its adaptability. Clients are able to connect to genuine NVMe devices through a standard NVMe driver stack, eliminating the necessity for proprietary drivers. Configuring and deploying an NVMe over Fabrics SAN infrastructure at rack scale in a data center can be accomplished by integrating various NVMe devices through RDMA-compatible links, such as ROCE, iWARP, or Infiniband. Moreover, in public cloud scenarios, users can take advantage of NVMe over Fabrics via the conventional TCP/IP protocol, removing the need for specific RDMA hardware or SRIOV virtualization. This forward-thinking approach not only maximizes resource efficiency but also ensures consistent high performance across different deployment landscapes, making it a versatile choice for modern storage solutions. Ultimately, this innovative design paves the way for improved scalability and flexibility in data management strategies.

Media

No images available

Media

Integrations Supported

Terraform

Integrations Supported

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

API Availability

Has API

API Availability

Pricing Information

$3.95/month
Shared-vCPU virtual machines start at $3.95 per month equivalent ($0.0054/hour) in US West 1. Compute is billed hourly while instances run and capped at the plan's monthly price for a 730-hour month; stopped instances do not incur compute charges. Secure VMs start at $30/month equivalent and GPU VMs at $300/month equivalent. Other storage and networking add-ons are priced separately.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Nextify Now

Company Website

www.nextifynow.com

Company Facts

Organization Name

ZettaLane Systems

Date Founded

2018

Company Website

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

Categories and Features

Cloud GPU

Not specified

Virtual Machine

Not specified

Categories and Features

Block Storage

Not specified

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