Utah AI Factory Supercomputer
An AI supercomputing platform for Utah
The Utah AI Factory Supercomputer is a statewide AI resource created to provide Utah's institutions of higher education, state organizations, and commercial sector with access to advanced computing resources, training, and support. It will accelerate and support research, education, innovation, and AI workforce development across the state.
The Center for High Performance Computing (CHPC) at the University of Utah will manage the AI supercomputing platform for Utah. The supercomputer is built for national impact and will support regional AI innovation across sectors and position Utah as a leader in AI-enabled research and innovation. The platform represents a significant increase in high-end GPU computing capacity at the University of Utah, fueled by $50 million in investment across public and private sectors over five years.
The platform has five key public–private partners: Hewlett Packard Enterprise, NVIDIA, Huntsman Family Foundation, State of Utah, and University of Utah. It is a first-of-its-kind HPE–NVIDIA–university partnership that will advance Utah as a national leader in AI research and innovation, allowing users across the state to train, apply, and scale large AI models across multiple servers with many GPUs.
Enablement is a key aspect of the Utah AI Factory Supercomputer program, ensuring that users can successfully access, learn, and apply the resource. This includes training, onboarding, outreach, and utilization support, which will be led by the CHPC in coordination with user representatives from partner organizations.
Infrastructure and technologies
The Utah AI Factory Supercomputer will provide researchers and innovators across Utah with access to powerful technologies in support of AI applications.
Systems in the Utah AI Supercomputer, which will support research and innovation across Utah
Computational resources
In aggregate, the system has
- 33 HPE Cray XD670 nodes
- 264 NVIDIA H200 GPUs
- Each node has eight H200 SXM5 GPUs, and each GPU has 141 GB of high-speed VRAM to support demanding AI workloads and large models
- 3,696 CPU cores
- Each node has two Intel Xeon-P 8570 56-core CPUs
- 66 TB of RAM
- Each node has 2 TB of DDR5-5600 RAM
The architecture is optimized for distributed AI training, large language models (LLMs), multi-node GPU computing, and tightly coupled HPC workloads.
High-speed GPU and node connectivity
The system is designed to enable GPUs to work efficiently together, both within and across nodes:
- Within nodes, there is high-speed GPU-to-GPU communication, providing up to 900 gigabytes per second of bidirectional bandwidth
- Between nodes, each GPU is connected at 400 gigabits per second to an InfiniBand fabric
with 24 NDR switches, enabling large AI workloads to scale across nodes
- The system uses a rail-optimized fat-tree topology to reduce latency and improve scalability
The platform is also connected to the Utah Education and Telehealth Network (UETN) and the University of Utah's Downtown Data Center at 100 and 400 gigabits per second, respectively, to facilitate data movement to and from other computational infrastructure in Utah.
High-speed storage
The platform includes high-performance temporary scratch storage for active research workloads, with approximately 1 PB of usable scratch capacity, in addition to high-speed storage local to each compute node. The WEKA filesystem supports high-throughput AI pipelines and scalable, data-intensive research applications.
Availability and access
Early access to the Utah AI Factory Supercomputer is expected around mid-summer 2026, after the installation is completed. We are currently establishing a governance structure and creating onboarding and enablement strategies. More information on these, and access to the system, will become available as we get closer to the deployment time.