bandwidth
ARMv8 Neoverse-V2 testing with a Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS) and NVIDIA GH200 480GB on Ubuntu 22.04 via the Phoronix Test Suite.


ARMv8 Neoverse-V2: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200

b: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200

c: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200

d: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200

e: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200

f: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200


High Performance Conjugate Gradient 3.1
X Y Z: 104 104 104 - RT: 60
GFLOP/s > Higher Is Better
ARMv8 Neoverse-V2 . 44.71 |====================================================
b ................. 39.57 |==============================================
c ................. 38.95 |=============================================
d ................. 38.63 |=============================================
e ................. 38.69 |=============================================
f ................. 38.71 |=============================================


High Performance Conjugate Gradient 3.1
X Y Z: 144 144 144 - RT: 60
GFLOP/s > Higher Is Better
ARMv8 Neoverse-V2 . 41.92 |====================================================
b ................. 38.96 |================================================
c ................. 38.23 |===============================================
d ................. 38.02 |===============================================
e ................. 37.99 |===============================================
f ................. 38.11 |===============================================


High Performance Conjugate Gradient 3.1
X Y Z: 160 160 160 - RT: 60
GFLOP/s > Higher Is Better
ARMv8 Neoverse-V2 . 39.92 |====================================================
b ................. 38.78 |===================================================
c ................. 38.51 |==================================================
d ................. 38.17 |==================================================
e ................. 38.00 |=================================================
f ................. 38.03 |==================================================


High Performance Conjugate Gradient 3.1
X Y Z: 192 192 192 - RT: 60
GFLOP/s > Higher Is Better
ARMv8 Neoverse-V2 . 38.73 |====================================================
b ................. 38.48 |====================================================
c ................. 38.11 |===================================================
d ................. 38.06 |===================================================
e ................. 37.98 |===================================================
f ................. 37.85 |===================================================


Graph500 3.0
Scale: 26
bfs median_TEPS > Higher Is Better
ARMv8 Neoverse-V2 . 1505570000 |===============================================
b ................. 1503510000 |===============================================
c ................. 1498670000 |===============================================
d ................. 1489270000 |==============================================
e ................. 1469720000 |==============================================
f ................. 1481400000 |==============================================


Graph500 3.0
Scale: 26
bfs max_TEPS > Higher Is Better
ARMv8 Neoverse-V2 . 1573470000 |===============================================
b ................. 1574260000 |===============================================
c ................. 1571860000 |===============================================
d ................. 1562170000 |===============================================
e ................. 1547980000 |==============================================
f ................. 1559480000 |===============================================


Graph500 3.0
Scale: 26
sssp median_TEPS > Higher Is Better
ARMv8 Neoverse-V2 . 333905000 |================================================
b ................. 322051000 |==============================================
c ................. 327451000 |===============================================
d ................. 322704000 |==============================================
e ................. 322883000 |==============================================
f ................. 318469000 |==============================================


Graph500 3.0
Scale: 26
sssp max_TEPS > Higher Is Better
ARMv8 Neoverse-V2 . 511909000 |================================================
b ................. 501380000 |===============================================
c ................. 492413000 |==============================================
d ................. 498666000 |===============================================
e ................. 491501000 |==============================================
f ................. 483974000 |=============================================


GROMACS 2024
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
ARMv8 Neoverse-V2 . 5.429 |===================================================
b ................. 5.520 |====================================================
c ................. 5.529 |====================================================
d ................. 5.530 |====================================================
e ................. 5.515 |====================================================
f ................. 5.508 |====================================================


GROMACS 2024
Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better