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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.
Partitions
The cluster is divided into several partitions, each with different CPU and GPU resources. All partitions currently have no time limit for running jobs.
| Partition | CPU Cores (Threads) | GPU(s) | Notes |
|---|---|---|---|
| unite | Up to 192 (384) | 5 x NVIDIA Tesla T4 | General-purpose, high-throughput jobs |
| gpu_nm | Up to 32 (64) | 1 x NVIDIA Tesla T4 | GPU-accelerated jobs, smaller scale |
| gpu_ai | Up to 192 (384) | 5 x NVIDIA Tesla T4 | AI/ML workloads, high-performance |
| a40 | Up to 64 (128) | 2 x NVIDIA A40 | AI/visualization, GPU-intensive |
CPU Specifications
The cluster features several generations of high-performance Intel Xeon processors.
- 8 x Intel(R) Xeon(R) Gold 6148 @ 2.40GHz
- 20 cores / 40 threads per CPU
- Suitable for parallel and memory-intensive tasks
- 2 x Intel(R) Xeon(R) Gold 6142 @ 2.60GHz
- 16 cores / 32 threads per CPU
- Higher base frequency for faster single-thread performance
- 2 x Intel(R) Xeon(R) Platinum 8358 @ 2.60GHz
- 32 cores / 64 threads per CPU
- High core density for large parallel workloads
GPU Specifications
The cluster supports GPU-accelerated workloads using NVIDIA Tesla and A40 GPUs.
- 5 x NVIDIA Tesla T4
- 16 GB GDDR6 memory
- Optimized for inference and lightweight training
- Supported in `unite`, `gpu_nm`, and `gpu_ai` partitions
- 2 x NVIDIA A40
- 48 GB GDDR6 memory each
- Excellent for large model training, rendering, and visualization
- Available in the `a40` partition
Summary
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.