

HPC Ofakim Cluster

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Ofakim Cluster
Ofakim Cluster Features
- Run:ai: Delivers intelligent orchestration that maximizes compute efficiency and dynamically scales AI training and inference by allowing fractioning of GPUs to maximize utilization.
- GPUs: Extensive GPU resources significantly accelerate AI/ML, and other GPU-accelerated workloads, enabling researchers to tackle complex computational challenges with greater speed and efficiency.
- High-Performance I/O: Using IBM's ESS 3500 GPFS (General Parallel File System) and InfiniBand fabric, Ofakim delivers exceptionally fast I/O performance. This ensures rapid data access and transfer, crucial for data-intensive applications and large-scale simulations.

Purpose:
Optimized for AI/ML and GPU-intensive workloads while also providing robust support for a variety of additional applications.

Specs:
Uses state-of-the-art enterprise technology designed for parallel computing:
IBM ESS 3500 parallel storage
NVIDIA ConnectX InfiniBand fabric

Nodes
- 2 Nvidia A100 80GB Nodes
o 8x NVIDIA-A100-SXM4-80GB GPUs
o AMD EPYC 7763 64-Core Processor
o 2 TB RAM
- 1 Nvidia A100 40GB Nodes
o 4x NVIDIA-A100-SXM4-40GB GPUs
o Intel(R) Xeon(R) Gold 6242R CPU @ 3.10GHz
o 1 TB RAM
- 1 Nvidia RTX 6000 Ada Generation Nodes
o 8x NVIDIA-RTX-6000-Ada-Generation
o Intel(R) Xeon(R) Gold 6448Y
o 1 TB RAM
- 2 Nvidia L40S Nodes
o 8x NVIDIA-L40S
o AMD EPYC 9454 48-Core Processor
o 1 TB RAM
- 5 AMD EPYC 9654 96 Nodes
o AMD EPYC 9654 96-Core Processor
o 2 TB RAM
- 2 AMD EPYC 9554 64 Nodes
o AMD EPYC 9654 96-Core Processor
o 1 TB RAM
Contact Our Staff
Contact support: hpc_admins@bgu.ac.il
- Ran Dahan – Head of HPC Section, +972-8-6472-128
- Saar Skittel – DevOps Engineer, +972-8-6461-185
- Orion Peeters – DevOps Engineer, +972-8-6461-185
- Roy Fabian – Student DevOps Engineer, +972-8-6461-185