Supercomputers for academic research at IU

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At the heart of Indiana University's cyberinfrastructure are the robust, reliable supercomputing systems provided and managed by the Research Technologies division of UITS. These world-class research supercomputers, and the proven professional training, consultation, and support services Research Technologies provides, enable computing research experimentation and implementation, and amplify the talents of local and national researchers. Specific information about each IU research supercomputer is provided below.

Big Red 200

Big Red 200 is a Cray Shasta supercomputer designed to support scientific and medical research, and advanced research in artificial intelligence, machine learning, and data analytics. Installed at Indiana University in January 2020, Big Red 200 is expected to enter production service during the spring 2021 semester.

For more, see About Big Red 200 at IU.

Big Red 3

Big Red 3 is a Cray XC40 supercomputer dedicated to researchers, scholars, and artists with large-scale, compute-intensive applications that can take advantage of the system's extreme processing capability and high-bandwidth network topology. Big Red 3 supports programs at the highest level of the university, including the Grand Challenges program.

For more, see About Big Red 3 at Indiana University.


Quartz is Indiana University's high-throughput computing cluster. Designed to deliver large amounts of processing capacity over long periods of time, Quartz provides the advanced supercomputing performance needed to run high-end, data-intensive applications that are critical to scientific discovery and innovation.

For more, see About Quartz at IU.


Carbonate is Indiana University's large-memory computer cluster. Designed to support data-intensive computing, Carbonate is particularly well-suited for running genome assembly software, large-scale phylogenetic software, and other genome analysis applications that require large amounts of computer memory. Carbonate provides specialized deep learning (DL) and GPU partitions for researchers with deep learning applications and other applications that require GPUs. Additionally, Carbonate offers a colocation service to IU researchers, research labs, departments, and schools.

For more, see About Carbonate at Indiana University.

Carbonate deep learning nodes

To facilitate the support of deep learning (DL) and GPU applications and research, Indiana University's Carbonate cluster includes two separate partitions composed of GPUs.

The DL partition consists of 12 GPU-accelerated Lenovo ThinkSystem SD530 compute nodes. Each of these deep learning nodes is equipped with two Intel Xeon Gold 6126 12-core CPUs, two NVIDIA GPU accelerators (eight with Tesla P100s; four with Tesla V100s), one 1.92 TB solid-state drive, and 192 GB of RAM.

The GPU partition consists of an additional 24 GPU-accelerated Apollo 6500 nodes. Each node is equipped with two Intel 6248 2.5GHz 20-core CPUs, 768 GB of RAM, 4 NVIDIA V100-PCIE-32GB GPUs, and one 1.92 TB solid-state drive.

For more, see About Carbonate's deep learning (DL) and GPU partitions.

Applying for accounts

To request an account on an Indiana University research system, see Get additional IU computing accounts. Account availability depends on your eligibility.

This is document alde in the Knowledge Base.
Last modified on 2021-06-14 11:08:03.