Cluster Hardware Overview

This page provides an overview of the hardware and partitions available on the cluster. The cluster is equipped with modern Intel CPUs and NVIDIA GPUs to support a wide range of high-performance and GPU-accelerated workloads.

The cluster is divided into several partitions, each with different CPU and GPU resources. All partitions currently have no time limit for running jobs.

The cluster features several generations of high-performance Intel Xeon processors.

• 8 x Intel(R) Xeon(R) Gold 6148 @ 2.40GHz
  1. 20 cores / 40 threads per CPU
  2. Suitable for parallel and memory-intensive tasks

• 2 x Intel(R) Xeon(R) Gold 6142 @ 2.60GHz
  1. 16 cores / 32 threads per CPU
  2. Higher base frequency for faster single-thread performance

• 2 x Intel(R) Xeon(R) Platinum 8358 @ 2.60GHz
  1. 32 cores / 64 threads per CPU
  2. High core density for large parallel workloads

The cluster supports GPU-accelerated workloads using NVIDIA Tesla and A40 GPUs.

• 5 x NVIDIA Tesla T4
  1. 16 GB GDDR6 memory
  2. Optimized for inference and lightweight training
  3. Supported in `unite`, `gpu_nm`, and `gpu_ai` partitions

• 2 x NVIDIA A40
  1. 48 GB GDDR6 memory each
  2. Excellent for large model training, rendering, and visualization
  3. Available in the `a40` partition

This cluster provides a flexible and powerful environment for both CPU and GPU workloads. The modular partition setup allows users to select resources best suited for their tasks, whether that’s compute-heavy simulations, AI training, or smaller-scale GPU processing.