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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Quickly set up and operate OpenStack on a Linux machine with ease. Designed with developers in mind, it’s perfect for use in edge computing, IoT applications, and various appliances. MicroStack provides a complete OpenStack experience packaged neatly into a single snap. This multi-node OpenStack deployment allows you to run it directly from your workstation. While its primary audience is developers, it remains an excellent choice for edge environments, IoT setups, and appliances. Just download MicroStack from the Snap Store and start your OpenStack environment in no time. Within minutes, you can have a fully functional OpenStack system at your fingertips. It runs securely on your laptop, utilizing advanced isolation techniques for safety. This implementation features pure upstream OpenStack components, including Keystone, Nova, Neutron, Glance, and Cinder. All the exciting features you’d like to explore in a compact, standard OpenStack setup are readily available. You can easily integrate MicroStack into your CI/CD workflows, allowing you to focus on your tasks without unnecessary complications. Keep in mind that MicroStack requires a minimum of 8 GB of RAM along with a multi-core processor to function smoothly. Enjoy the seamless experience of working with a robust OpenStack environment.

Description

NVIDIA Magnum IO serves as the framework for efficient and intelligent I/O in data centers operating in parallel. It enhances the capabilities of storage, networking, and communications across multiple nodes and GPUs to support crucial applications, including large language models, recommendation systems, imaging, simulation, and scientific research. By leveraging storage I/O, network I/O, in-network compute, and effective I/O management, Magnum IO streamlines and accelerates data movement, access, and management in complex multi-GPU, multi-node environments. It is compatible with NVIDIA CUDA-X libraries, optimizing performance across various NVIDIA GPU and networking hardware configurations to ensure maximum throughput with minimal latency. In systems employing multiple GPUs and nodes, the traditional reliance on slow CPUs with single-thread performance can hinder efficient data access from both local and remote storage solutions. To counter this, storage I/O acceleration allows GPUs to bypass the CPU and system memory, directly accessing remote storage through 8x 200 Gb/s NICs, which enables a remarkable achievement of up to 1.6 TB/s in raw storage bandwidth. This innovation significantly enhances the overall operational efficiency of data-intensive applications.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Airstack Yes 
Apache Spark No 
Chef Yes 
Cisco AnyConnect Yes 
Google Cloud Platform Yes 
Huawei FusionStorage Yes 
Intelligent Management Center Yes 
Investor Yes 
Keystone Yes 
Kubernetes Yes 
NVIDIA virtual GPU No 
Oracle Cloud CX Yes 
PostgreSQL Yes 
Rackspace OpenStack Yes 
SALT Yes 
SQLite Yes 
VMware Cloud Yes 
Verizon Cloud Yes 

Integrations

Airstack No 
Apache Spark Yes 
Chef No 
Cisco AnyConnect No 
Google Cloud Platform No 
Huawei FusionStorage No 
Intelligent Management Center No 
Investor No 
Keystone No 
Kubernetes No 
NVIDIA virtual GPU Yes 
Oracle Cloud CX No 
PostgreSQL No 
Rackspace OpenStack No 
SALT No 
SQLite No 
VMware Cloud No 
Verizon Cloud No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Canonical

Founded

2010

Country

United Kingdom

Website

microstack.run/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/magnum-io/

Product Features

Cloud Management

Access Control No 
Billing & Provisioning No 
Capacity Analytics No 
Cost Management No 
Demand Monitoring No 
Multi-Cloud Management No 
Performance Analytics No 
SLA Management No 
Supply Monitoring No 
Workflow Approval No 

Product Features

Data Center Management

Audit Trail No 
Behavior-Based Acceleration No 
Cross Reference System No 
Device Auto Discovery No 
Diagnostic Testing No 
Import / Export Data No 
JCL Management No 
Multi-Platform No 
Multi-User No 
Power Management No 
Sarbanes-Oxley Compliance No 

Alternatives

Alternatives