MachaParfait/ClusterWise

Data Overview

ClusterWise is a comprehensive dataset (240GB) containing real-world operational data from the OLCF Summit HPC cluster, one of the world's most powerful supercomputers. The dataset provides a rich collection of system telemetry, including:

• Job scheduler logs
• GPU failure event logs
• High-resolution temperature measurements from CPUs and GPUs
• Detailed power consumption metrics among components
• Physical layout information of the nodes

The complete dataset related pipeline is available in our GitHub repository, enabling reproduction of the full 450GB dataset.

This dataset is ready for commercial/non-commercial use.

Data Fields

Field	Type	Description
timestamp	timestamp[ms]	Timestamp of the record
node_state	string	State of the node
hostname	string	Hostname of the node, indicating its physical location. Format: <cabinet_column:[a-h]><cabinet_row:[0-24]>n<node_in_rack:[1-18]>. Node position in rack is from bottom (1) to top (18).
job_begin_time	timestamp[ms]	Timestamp of when the job started
job_end_time	timestamp[ms]	Timestamp of when the job terminated
allocation_id	int64	Unique identifier of the job
label	float64	Indicates if the record corresponds to a failure event (e.g., 1 for failure, 0 for normal)
xid	float64	Nvidia error code representing failure type
gpu0_core_temp	float	Core temperature of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Celsius)
gpu0_mem_temp	float	Memory (HBM) temperature of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Celsius)
gpu1_core_temp	float	Core temperature of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Celsius)
gpu1_mem_temp	float	Memory (HBM) temperature of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Celsius)
gpu2_core_temp	float	Core temperature of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Celsius)
gpu2_mem_temp	float	Memory (HBM) temperature of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Celsius)
gpu3_core_temp	float	Core temperature of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Celsius)
gpu3_mem_temp	float	Memory (HBM) temperature of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Celsius)
gpu4_core_temp	float	Core temperature of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Celsius)
gpu4_mem_temp	float	Memory (HBM) temperature of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Celsius)
gpu5_core_temp	float	Core temperature of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Celsius)
gpu5_mem_temp	float	Memory (HBM) temperature of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Celsius)
p0_gpu0_power	float	DC power consumption of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Watts)
p0_gpu1_power	float	DC power consumption of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Watts)
p0_gpu2_power	float	DC power consumption of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Watts)
p0_power	float	DC power consumption of the first Power9 CPU in the node (Watts)
p0_temp_max	float	Maximum core temperature of the first Power9 CPU (Celsius)
p0_temp_mean	float	Mean core temperature of the first Power9 CPU (Celsius)
p0_temp_min	float	Minimum core temperature of the first Power9 CPU (Celsius)
p1_gpu0_power	float	DC power consumption of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Watts)
p1_gpu1_power	float	DC power consumption of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Watts)
p1_gpu2_power	float	DC power consumption of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Watts)
p1_power	float	DC power consumption of the second Power9 CPU in the node (Watts)
p1_temp_max	float	Maximum core temperature of the second Power9 CPU (Celsius)
p1_temp_mean	float	Mean core temperature of the second Power9 CPU (Celsius)
p1_temp_min	float	Minimum core temperature of the second Power9 CPU (Celsius)
ps0_input_power	float	AC input power consumption of the first node power supply (Watts)
ps1_input_power	float	AC input power consumption of the second node power supply (Watts)

How to use it

You can load the dataset with the following lines of code.

from datasets import load_dataset
ds = load_dataset("MachaParfait/ClusterWise")

License/Terms of Use

This dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0) available at https://creativecommons.org/licenses/by/4.0/legalcode.

Data Version

1.0 (05/15/2025)

Intended use

The Clusterwise Dataset is intended to be used by the community to continue to improve open models. The data may be freely used to train models. However, for each dataset an user elects to use, the user is responsible for checking if the dataset license is fit for the intended purpose.