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Early Adopter Program Launches on MedicineBow


UW ARCC is pleased to announce the new HPC environment, MedicineBow. MedicineBow will be available for campus-wide use beginning July 1, 2024. In preparation, UW ARCC is hosting an Early Adopters Program (EAP) for MedicineBow to facilitate a seamless integration of hardware and software, and to promote exceptional scientific research. This program runs throughout the summer starting June 1st, and ends August 26th, the first day of the Fall 2024 semester.

Early adoption provides researchers with several benefits, including:

  • The chance to get a jump start on using the new system with limited competition for resources.

  • Prioritized support from ARCC staff during EAP.

  • Exclusive reserved access to any approved resources over the course of the EAP.

  • EAP users will incur no charges throughout the course of the program, and will be able to continue using MedicineBow incurring standard ARCC charges following the end of the program.

Researchers approved for the early access program will get access to their reserved share of 152 GPUs , 4224 CPUs, and 3PB of research data storage over the course of the program.

The new MedicineBow HPC environment includes the following hardware:

Allocations 

#Nodes 

Cores /
Node 

RAM 

GPU 

GPUs / Node 

Processor 

TensorCores/GPU & CUDACores/GPU 

CPU  

25 

96 CPU Cores per Node 

 

1024GB/Node 

N/A 

N/A 

2x 48-Core/96-Thread 4th Gen AMD EPYC 9454 

 

N/A 

A30 GPU  

24GB/GPU 

Nvidia A30 

224 TC/GPU
3804 FP32 CUDA/GPU 

L40S GPU 

48GB/GPU 

Nvidia L40S 

568 TC/GPU 

H100 GPU  

80GB/GPU 

Nvidia SXM5 H100 

528 TC/GPU
16896 FP32 CUDA/GPU 

The total computational power available to the Medicine Bow cluster per year is as follows:

  • 1,331,520 GPU hours

    • 11.86 petaflops @ fp32

    • 2.72 petaflops @ fp64

  • 37,002,240 CPU hours

    • 8.24 petaflops @ fp32

    • 2.36 petaflops @ fp64

  • 3 Petabytes available for research data storage

ARCC will accept applications through Friday May 17th, 2024. Applications are open to all scientific disciplines. To apply, please fill out an application through our portal, here.

The application form will require an abstract associated with your intended work, the technical requirements associated with any computational technologies (if needed), estimated compute hours and storage needs.


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