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GPU Comparison
NVIDIA Jetson Orin Nano 8 GB vs Intel Data Center GPU Flex 140
NVIDIA Jetson Orin Nano 8 GB vs Intel Data Center GPU Flex 140
VS
NVIDIA Jetson Orin Nano 8 GB
Intel 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
NVIDIA Jetson Orin Nano 8 GB 's Advantages
Released 7 months late
More VRAM (8GB vs 6GB)
Lower TDP (15W vs 75W)
Intel 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
1.28 TFLOPS
Data Center GPU Flex 140
+212%
3.994 TFLOPS
NVIDIA Jetson Orin Nano 8 GB
VS
Intel Data Center GPU Flex 140
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
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