Jetson Orin Nano 8 GB vs Data Center GPU Max Subsystem
We compared two Professional market GPUs: 8GB VRAM Jetson Orin Nano 8 GB and 128GB VRAM Data Center GPU Max Subsystem to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
Jetson Orin Nano 8 GB 's Advantages
Lower TDP (15W vs 2400W)
Data Center GPU Max Subsystem 's Advantages
Boost Clock1600MHz
More VRAM (128GB vs 8GB)
Larger VRAM bandwidth (3205GB/s vs 68.29GB/s)
15360 additional rendering cores
Score
Benchmark
FP32 (float)
Jetson Orin Nano 8 GB
1280
Data Center GPU Max Subsystem
+3996%
52430
Graphics Card
Mar 2023
Release Date
Jan 2023
Tegra
Generation
Data Center GPU
Professional
Type
Professional
PCIe 4.0 x4
Bus Interface
PCIe 5.0 x16
Clock Speeds
-
Base Clock
900 MHz
-
Boost Clock
1600 MHz
1067 MHz
Memory Clock
1565 MHz
Memory
8GB
Memory Size
128GB
LPDDR5
Memory Type
HBM2e
128bit
Memory Bus
8192bit
68.29GB/s
Bandwidth
3205GB/s
Render Config
8
SM Count
-
1024
Shading Units
16384
32
TMUs
1024
16
ROPs
0
32
Tensor Cores
1024
-
RT Cores
128
128 KB (per SM)
L1 Cache
64 KB (per EU)
256 KB
L2 Cache
408 MB
Theoretical Performance
10.00 GPixel/s
Pixel Rate
0 MPixel/s
20.00 GTexel/s
Texture Rate
1638 GTexel/s
2.560 TFLOPS
FP16 (half)
52.43 TFLOPS
1280 GFLOPS
FP32 (float)
52.43 TFLOPS
640.0 GFLOPS
FP64 (double)
52.43 TFLOPS
Board Design
15W
TDP
2400W
-
Suggested PSU
2800 W
Portable Device Dependent
Outputs
No outputs
-
Power Connectors
1x 16-pin
Graphics Processor
GA10B
GPU Name
Ponte Vecchio
Ampere
Architecture
Generation 12.5
Samsung
Foundry
Intel
8 nm
Process Size
10 nm
Unknown
Transistors
100 billion
Unknown
Die Size
1280 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
N/A
8.6
CUDA
-
6.7
Shader Model
6.6
