IREN CloudIREN
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PacificPacific Intelligent Technologies
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Related Products
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About
IREN’s AI Cloud is a GPU-cloud platform built on NVIDIA reference architecture and non-blocking 3.2 TB/s InfiniBand networking, offering bare-metal GPU clusters designed for high-performance AI training and inference workloads. The service supports a range of NVIDIA GPU models with specifications such as large amounts of RAM, vCPUs, and NVMe storage. The cloud is fully integrated and vertically controlled by IREN, giving clients operational flexibility, reliability, and 24/7 in-house support. Users can monitor performance metrics, optimize GPU spend, and maintain secure, isolated environments with private networking and tenant separation. It allows deployment of users’ own data, models, frameworks (TensorFlow, PyTorch, JAX), and container technologies (Docker, Apptainer) with root access and no restrictions. It is optimized to scale for demanding applications, including fine-tuning large language models.
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About
Pacific provides GPU compute rental and modular AI infrastructure for organizations running AI training, fine-tuning and inference. Its catalog offers on-demand dedicated NVIDIA GPU nodes, including H100, H200 and B200 configurations, with larger systems and reserved capacity available by request. Rentals provide SSH access to bare-metal Linux hosts with NVIDIA drivers and CUDA. For longer-term or site-specific needs, Pacific offers reserved single-tenant clusters, managed on-premises deployments, colocation and bridge capacity while a permanent facility is prepared. Its factory-built modules combine compute, networking, cooling and power distribution for customer sites, colocation facilities or other suitable powered locations. Buyers include AI teams and infrastructure operators evaluating training or inference capacity, as well as organizations requiring greater control over compute deployment.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI and ML engineers, researchers, and enterprises wanting a tool to train, fine-tune, and deploy sophisticated models
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Audience
AI labs, startups, enterprises, and defense organizations that need NVIDIA GPU compute and AI infrastructure.
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Pricing
$2.99/GPU-hour
Preview GPU-hour rates are H100 $2.99, H200 $4.49, and B200 $6.14. H100 reserved rates are $2.69/GPU-hour for 7–30 days, $2.54 for 31–90 days, and $2.39 for 91–180 days, by request. B300 and NVL72 pricing is by request. Preview rates are indicative until allocation is confirmed.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
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Training
Documentation
Not Supported
Webinars
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Live Online
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In Person
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Company InformationIREN
Australia
www.iren.com/solutions/gpu-cloud/ai-cloud
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Company InformationPacific Intelligent Technologies
Founded: 2026
United States
pacificmachines.com
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Alternatives |
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Categories |
Categories |
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Integrations
DeepSeek
Supported
Dell Technologies Cloud
Supported
Docker
Supported
Falcon AI
Supported
JAX
Supported
Llama
Supported
Mistral AI
Supported
NVIDIA DRIVE
Supported
NVIDIA virtual GPU
Supported
PyTorch
Supported
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Integrations
DeepSeek
Not Supported
Dell Technologies Cloud
Not Supported
Docker
Not Supported
Falcon AI
Not Supported
JAX
Not Supported
Llama
Not Supported
Mistral AI
Not Supported
NVIDIA DRIVE
Not Supported
NVIDIA virtual GPU
Not Supported
PyTorch
Not Supported
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