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features
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support

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Description

IREN’s AI Cloud is a cutting-edge GPU cloud infrastructure that utilizes NVIDIA's reference architecture along with a high-speed, non-blocking InfiniBand network capable of 3.2 TB/s, specifically engineered for demanding AI training and inference tasks through its bare-metal GPU clusters. This platform accommodates a variety of NVIDIA GPU models, providing ample RAM, vCPUs, and NVMe storage to meet diverse computational needs. Fully managed and vertically integrated by IREN, the service ensures clients benefit from operational flexibility, robust reliability, and comprehensive 24/7 in-house support. Users gain access to performance metrics monitoring, enabling them to optimize their GPU expenditures while maintaining secure and isolated environments through private networking and tenant separation. The platform empowers users to deploy their own data, models, and frameworks such as TensorFlow, PyTorch, and JAX, alongside container technologies like Docker and Apptainer, all while granting root access without any limitations. Additionally, it is finely tuned to accommodate the scaling requirements of complex applications, including the fine-tuning of extensive language models, ensuring efficient resource utilization and exceptional performance for sophisticated AI projects.

Description

Efficient and cost-effective centralized deployment to bare-metal and varied hardware allows for the seamless upgrade of an entire computer fleet to the latest operating system while enabling the addition of new clients during an ongoing deployment session, and also allows for scheduling deployments specifically tailored for educational institutions. Deployment Manager serves as a sophisticated tool designed for original equipment manufacturers and IT departments, facilitating effective centralized deployment across computer networks of any scale. Every machine on the network is processed simultaneously through multicasting, with the option to switch to uni- or constant-casting when it proves more efficient. Whether remote or onsite, deployments can be executed manually or fully automated, and can be scheduled for cyclic client- or server-driven operations. It is possible to prepare target machines for deployment by booting them from custom bootable media or through the network. Moreover, it supports specific client hardware requirements, such as the injection of storage and NIC drivers. Finally, the Paragon post-configuration scripting allows for the creation of an optimal working environment tailored to enhance the end user experience. This comprehensive approach ensures that organizations can maintain productivity and streamline their IT operations efficiently.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

C++
DeepSeek
Dell Technologies Cloud
Docker
Falcon AI
JAX
Llama
Mistral AI
NVIDIA DRIVE
NVIDIA virtual GPU
PyTorch
Stability AI
Supermicro CloudDC
TensorFlow
Visual Studio
WEKA
Wix

Integrations

C++
DeepSeek
Dell Technologies Cloud
Docker
Falcon AI
JAX
Llama
Mistral AI
NVIDIA DRIVE
NVIDIA virtual GPU
PyTorch
Stability AI
Supermicro CloudDC
TensorFlow
Visual Studio
WEKA
Wix

Pricing Details

No price information available.
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

IREN

Country

Australia

Website

www.iren.com/solutions/gpu-cloud/ai-cloud

Vendor Details

Company Name

Paragon Software

Founded

1994

Country

Germany

Website

www.paragon-software.com/us/business/deployment-manager/

Product Features

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