Yes, our isolated environments use private networking and strict tenant separation, making them suitable for sensitive, enterprise and regulated workloads.

Yes, our clusters are designed for the most demanding, long-running training workloads and support advanced inference such as multimodal and reasoning-based models. They are also backed by high-bandwidth InfiniBand networking for low latency, fast data movement.

We offer flexible options for data storage, including on-node storage and WEKA.IO storage across the cluster, accommodating various data management requirements.

We support a wide range of AI models and AI/ML workloads, including: Fine-tuning LLMs like Llama, StabilityAI, Mistral and DeepSeek; Deep learning for use cases such as computer vision or large data sets; Predictive analytics and recommender systems; Digital twin technology and simulations

IREN Cloud™ GPU clusters utilize NVIDIA InfiniBand with 3.2TB/s bandwidth. This high-speed interconnect is essential for distributed AI model training, parallel processing across GPUs, and low latency AI/ML training.

Yes, you can bring and deploy your own data sets, AI models, frameworks (such as TensorFlow, PyTorch, JAX) and Containers (including Docker and Apptainer). The bare metal GPU servers provide environment control with root access and no restrictions.