IREN Limited and BE Networks are simulating the deployment of over 50,000 NVIDIA Blackwell Ultra GPUs using NVIDIA DSX Air to validate infrastructure design before physical installation. By testing network architecture, compute layers, and automation workflows in a virtual environment first, the companies aim to bring capacity online more efficiently and reduce deployment risks.
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On June 1, IREN Limited and BE Networks announced a partnership to use NVIDIA DSX Air to simulate and validate the network architecture for a deployment of over 50,000 NVIDIA Blackwell Ultra GPUs. BE Networks will support the process with its Verity automation platform to translate validated designs into repeatable deployment workflows.
Why it matters
By creating a production-representative digital twin and testing automation workflows in a virtual environment before physical deployment, the companies expect to bring customer capacity online more efficiently and reduce integration risks. This simulation-first approach allows IREN to verify complex compute, storage, and networking layers in advance, streamlining development of its AI factory.
What to watch
The collaboration prioritizes simulation to accelerate infrastructure readiness and operational confidence. IREN Limited is an Australia-based company that owns and operates renewable energy-powered data centers optimized for Bitcoin mining, AI cloud services, and other power-dense computing.
The partnership between IREN and BE Networks reflects a modern approach to large-scale GPU infrastructure deployment, where simulation and validation in a virtual environment precede physical rollout. By creating a production-representative digital twin, the companies can model behavior of a cluster of over 50,000 Blackwell Ultra GPUs and test complex workflows before committing to physical infrastructure. This approach reduces the risk of integration failures and costly delays once hardware arrives on-site.
For IREN, which operates renewable energy-powered data centers, this collaboration supports its strategic development of an AI factory. The company's focus on power-dense computing—particularly AI cloud services—positions it to benefit from the growing demand for large-scale GPU infrastructure, and the ability to validate and deploy efficiently is a competitive advantage in that market.
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