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AI Cloud GPU-as-a-Service Solution

Maximize GPU optimization via on-demand multi tenancy

On-Demand GPU-as-a-Service AI Cloud

AI Cloud Providers, offer hyper scaler grade on-demand multi-tenant IaaS and PaaS GPUaaS features.

AARNA.ML GPU CMS

Customers running the aarna.ml GPU CMS

We have a global customer base that is using our fully NVIDIA reference architecture compliant GPU CMS software.

Top EU NCP with over 20K GPUs under management

A milestone in scalable AI and HPC infrastructure, powering innovation across industries.

Leading Telco Across Asia & the Middle East

Driving connectivity and innovation with cutting-edge telecom solutions.

Seasoned EU HPC provider, also a GPUaaS provider

Delivering high-performance computing and scalable GPU cloud solutions across industries.

On-Demand Instances < 1 Week and Just 4+ GPUs

Are you a GPUaaS AI Cloud provider or an NVIDIA Cloud Partner (NCP) convinced that you need to introduce on-demand instances but don’t know how to? We can get you started in < 1 Week with Just 4+ GPUs – the full aarna.ml GPU CMS experience along with billing and user management.

Protect Your Revenue and Margins With On-Demand Instances

The world is moving to inferencing. The GPU yearly refresh cycle is cratering prices. Expand your solution beyond static instances with our GPU Cloud Management Software to protect your revenue and margins. Through a self-service interface, your users can order on-demand bare metal, virtual machines and container instances with full multi-tenant isolation.

Protect Against Under or Over Provisioning

Unlike training, inferencing is a very dynamic workload. Your tenants might need a large number of GPUs during daytime but not so during the night. With aarna.ml GPU Marketplace, you can acquire and sell capacity to other AI Cloud providers automatically.

Provide PaaS and SaaS features

Data scientists often do not know or care about the underlying GPU infrastructure. With aarna.ml’s Platform Management features, your data scientists can experience modalities such as Job Submission or Model Serving that includes Hugging Face, NVIDIA Triton, NIM, and NVCF integrations.

Not Convinced About the Timing?

If you have a strong training pipeline, perhaps you can delay the move to on-demand. We can still help you on modeling your GPU environment as a digital twin and offering professional services to manage day 0, 1, and 2 operations.

What's New

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