Lab's Computing Resources
Lab's Computing Resources
Embedded Files
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Overview
Overview
GPU Access: NVIDIA DGX A100, NVIDIA CLARA AGX (RTX 6000), RTX 5000 ada, NVIDIA L4, RTX 5070
CPU Access: Intel Xeon w9 (56 cores), Intel Xeon Gold (64 cores), AMD EPYC 7763 (128 cores), Intel Xeon x5 (Dual 20 cores), Intel Xeon x3 (Dual 16 cores), Intel Xeon x8 (Dual 14 cores), Intel Xeon x7 (Dual 12 cores), Carmel ARM v8.2 (8 cores)
Lab's Hardware
Lab's Hardware
AI and Virtual Quantum Computing Workstation
AI and Virtual Quantum Computing Workstation
Processor: Intel® Xeon® w9-3495X (105 MB cache, 56 cores, 112 threads, up to 4.8 GHz Turbo, 350 W).
GPU: Dual NVIDIA® RTXTM 5000 Ada Generation (x2), 32 GB GDDR6, 4 DP.
NVIDIA RTX 5000 ada.
Memory: 128 GB: 8 x 16 GB, DDR5, 4800 MT/s, RDIMM, ECC.
Storage: 2 TB M.2, 6 TB SATA.
Accessing the workstation: Please read this Lab-Wiki post
Image from Nvidia
NVIDIA Clara AGX
NVIDIA Clara AGX
CPU: 8-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3.
Memory: 32GB 256-Bit LPDDR4x, 136.5GB/s.
GPU: RTX 6000, 24 GB GDDR6, 672 GB/s, 4,608 CUDA cores, 576 Tensor Cores.
Expansion: PCIe x8 (single slot width) to Xavier, PCIe x8 (single slot width) to RTX6000.
Image from Dell
Quantum mini-HPC Setup: PowerEdge R760 Server
Quantum mini-HPC Setup: PowerEdge R760 Server
Processor: (2x) Intel® Xeon® Gold 6438Y (Total: 64 cores, 128 threads).
GPU: (2x) Dual NVIDIA L4, 24 GB Passive.
Memory: 128 GB: 4 x 32 GB, DDR5, 5600 MT/s, RDIMM.
Storage: 1.8 TB M.2, 7.2 TB SAS.
Accessing the Server: Please read this Lab-Wiki post
Quantum at Edge Machines (x2)
Quantum at Edge Machines (x2)
Processor: Intel® Ultra 9, 2.50 GHz (Each with 24 cores, 24 threads).
GPU: NVIDIA RTX 5070, 12 GB Passive.
Memory: 32 GB, 5600 MT/s, RDIMM.
Storage: 1 TB M.2
SMU Hardware (Total access)
SMU Hardware (Total access)
NVIDIA DGX SuperPOD
NVIDIA DGX SuperPOD
Computational Ability: 1,644 TFLOPS.
Number of Nodes: 20 NVIDIA DGX A100.
CPU Cores: 2,560
GPU Accelerator Cores: 1,392,640
Total Memory: 52.5 TB
Useful Links:
https://www.smu.edu/oit/services/superpod
https://southernmethodistuniversity.github.io/hpc_docs/
M3 HPC Cluster
M3 HPC Cluster
Nodes: 170
Processors: AMD EPYC 7763
CPUs/Node: 2
Cores/Node: 128
Memory/Node: 512 GB
Useful Links:
https://www.smu.edu/oit/services/m3
S2 Server (GENUSE Linux Server)
S2 Server (GENUSE Linux Server)
Processors:
Dual 20 core Intel Xeon (x5)
Dual 16 core Intel Xeon (x3)
Dual 14 core Intel Xeon (x8)
Dual 12 core Intel Xeon (x7)
Useful Links:
https://www.smu.edu/oit/services/s2
https://www.smu.edu/oit/services/genuse/computers
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