Frequently Asked Question
Which computing unit should I select?
Last Updated 2 years ago
We are providing different computing units on the platform in order to support different architectures and computational needs.
For a quick decision check the following suggestions, otherwise please have a look at the tables below:
- If you are new to the platform and want to explore what is available, select Jetson AGX.
- If you need to perform data analysis with small to medium data sets, select Jetson AGX.
- If you need to perform data analysis with big data sets, select 32 vCPU Intel x86-64
- If you are learning the fundamentals of machine learning, select Jetson AGX
- If you need to perform machine learning with small to medium data sets, select Jetson AGX
- If you need to perform machine learning with big data sets, select 72 vCPU Intel x86-64
- If you need a GPU with a large memory and performance is secondary, select Jetson AGX
- If you need a GPU with a good performance and memory is secondary, select 72 vCPU Intel x86-64
- If you need to perform single-core computing, select 8 vCPU Intel x86-64
- If you need to run Windows or Intel x86-64 specific applications, select 8 vCPU Intel x86-64
- If you need to run Windows or Intel x86-64 specific applications that require large memory, select 32 vCPU Intel x86-64
The following table summarizes the specifications of each unit:
Unit | Architecture | CPU | Max. Speed (GHz) | Cores | Threads | Memory | GPU | # of Units |
NVIDIA Jetson AGX | ARMv8.2 | NVIDIA Carmel | 2.26 | 8 | 8 | 32 | 512-core Volta GPU with 64 Tensor Cores (CC 7.2) | 16 |
PowerEdge T320 | Intel x86-64 | E5-2420 v2 | 2.7 | 6 | 12 | 192 | - | 2 |
PowerEdge R730xd | Intel x86-64 | E5-2640 v3 | 3.4 | 2 x 8 | 32 | 768 | - | 1 |
PowerEdge R730 | Intel x86-64 | E5-2695 v4 | 3.3 | 2 x 18 | 72 | 768 | NVIDIA Titan XP (CC 6.1) | 1 |
PowerEdge R730 | Intel x86-64 | E5-2695 v4 | 3.3 | 2 x 18 | 72 | 768 | NVIDIA RTX A4000 (CC 8.6) | 1 |
Optiflex 9020 | Intel x86-64 | i7-4770 | 3.9 | 4 | 8 | 32 | 1 |
The following table summarizes the GeekBench 5 performance benchmark results of each unit and suggested use cases:
Unit | Single-core Score | Multi-core Score | Suggested Use |
NVIDIA Jetson AGX | 559 | 3945 | General computing, GPU computing |
PowerEdge T320 | 630 | 3562 | Services |
PowerEdge R730xd | 909 | 10346 | Multi-core computing, Big data |
PowerEdge R730 | 915 | 19282 | Multi-core computing, Big data, GPU computing |
Optiflex 9020 | 1042 | 3937 | Single-core computing |