Jetson Orin Nano 8 GB vs Data Center GPU Flex 140
We compared two Professional market GPUs: 8GB VRAM Jetson Orin Nano 8 GB and 6GB VRAM Data Center GPU Flex 140 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
Jetson Orin Nano 8 GB 's Advantages
Released 7 months late
More VRAM (8GB vs 6GB)
Lower TDP (15W vs 75W)
Data Center GPU Flex 140 's Advantages
Boost Clock1950MHz
Larger VRAM bandwidth (186.0GB/s vs 68.29GB/s)
Score
Benchmark
FP32 (float)
Jetson Orin Nano 8 GB
1280
Data Center GPU Flex 140
+212%
3994
Graphics Card
Mar 2023
Release Date
Aug 2022
Tegra
Generation
Data Center GPU
Professional
Type
Professional
PCIe 4.0 x4
Bus Interface
PCIe 4.0 x8
Clock Speeds
-
Base Clock
1600 MHz
-
Boost Clock
1950 MHz
1067 MHz
Memory Clock
1937 MHz
Memory
8GB
Memory Size
6GB
LPDDR5
Memory Type
GDDR6
128bit
Memory Bus
96bit
68.29GB/s
Bandwidth
186.0GB/s
Render Config
8
SM Count
-
1024
Shading Units
1024
32
TMUs
64
16
ROPs
32
32
Tensor Cores
-
-
RT Cores
8
128 KB (per SM)
L1 Cache
-
256 KB
L2 Cache
4 MB
Theoretical Performance
10.00 GPixel/s
Pixel Rate
62.40 GPixel/s
20.00 GTexel/s
Texture Rate
124.8 GTexel/s
2.560 TFLOPS
FP16 (half)
7.987 TFLOPS
1280 GFLOPS
FP32 (float)
3.994 TFLOPS
640.0 GFLOPS
FP64 (double)
-
Board Design
15W
TDP
75W
-
Suggested PSU
250 W
Portable Device Dependent
Outputs
1x HDMI 2.1
3x DisplayPort 2.0
-
Power Connectors
1x 8-pin
Graphics Processor
GA10B
GPU Name
DG2-128
-
GPU Variant
ACM-G11
Ampere
Architecture
Generation 12.7
Samsung
Foundry
TSMC
8 nm
Process Size
6 nm
Unknown
Transistors
7.2 billion
Unknown
Die Size
157 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.6
CUDA
-
6.7
Shader Model
6.6
