Differences

This shows you the differences between two versions of the page.

--- ram_and_rom [2020/10/26 10:19] – 24.138.68.92
+++ ram_and_rom [2025/05/09 05:28] (current) – 146.199.23.88
@@ Line 1: / Line 1: @@
-**RAM/CPU memory for perun cluster** <last updated Oct 26 2020 by DSalas-Leiva>
+**RAM/CPU memory for perun cluster** <last updated May 11 2022 by Kelsey>
 **perun2, perun3, perun4, perun5, perun9, perun11**\\
@@ Line 100: / Line 100: @@
 Socket(s):           2\\
 Model name:          Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz\\
+**perun22**\\
+RAM                  2T\\
+Architecture:        x86_64\\
+CPU op-mode(s):      32-bit, 64-bit\\
+CPU(s):              128\\
+Thread(s) per core:  2\\
+Core(s) per socket:  32\\
+Socket(s):           2\\
+Model name:          AMD EPYC™ 7543 Processor\\
+**perun23**\\
+RAM                  2T\\
+Architecture:        x86_64\\
+CPU op-mode(s):      32-bit, 64-bit\\
+CPU(s):              256\\
+Thread(s) per core:  2\\
+Core(s) per socket:  64\\
+Socket(s):           2\\
+Model name:          AMD EPYC 7713 64-Core Processor\\
+**perun24**\\
+**RAM**                  512Gb\\
+Architecture:        x86_64\\
+CPU op-mode(s):      32-bit, 64-bit\\
+CPU(s):              24\\
+Thread(s) per core:  1\\
+Core(s) per socket:  12\\
+Socket(s):           2\\
+Model name:          INTEL(R) XEON(R) SILVER 4510\\
+**GPU**:                 NVIDIA H100 Tensor Core GPU [H100L 94GB] \\
+FP64:	30 teraFLOPs\\
+FP64: Tensor Core	60 teraFLOPs\\
+FP32:	60 teraFLOPs\\
+TF32 Tensor Core:	835 teraFLOPs\\
+BFLOAT16 Tensor Core:	1,671 teraFLOPS\\
+FP16 Tensor Core:	1,671 teraFLOPS\\
+FP8 Tensor Core:	3,341 teraFLOPS\\
+INT8 Tensor Core:	3,341 TOPS\\
+GPU Memory:	94GB\\
+GPU Memory Bandwidth:	3.9TB/s\\
+Decoders:	7 NVDEC \ 7 JPEG \\
+Max Thermal Design Power (TDP):	350-400W (configurable)\\
+Multi-Instance GPUs:	Up to 7 MIGS @ 12GB each\\
+Form Factor:	PCIe \	dual-slot air-cooled \\
+Interconnect:	NVIDIA NVLink: 600GB/s \ PCIe Gen5: 128GB/s \\