Home GPU Comparison Intel Data Center GPU Flex 140 vs NVIDIA Jetson Orin Nano 4 GB

Intel Data Center GPU Flex 140 vs NVIDIA Jetson Orin Nano 4 GB

We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 4GB VRAM Jetson Orin Nano 4 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Flex 140 's Advantages
Boost Clock1950MHz
More VRAM (6GB vs 4GB)
Larger VRAM bandwidth (186.0GB/s vs 34.14GB/s)
512 additional rendering cores
NVIDIA Jetson Orin Nano 4 GB 's Advantages
Released 7 months late
Lower TDP (10W vs 75W)

Score

Benchmark

FP32 (float)
Data Center GPU Flex 140 +524%
3.994 TFLOPS
Jetson Orin Nano 4 GB
0.64 TFLOPS

Graphics Card

Aug 2022
Release Date
Mar 2023
Data Center GPU
Generation
Tegra
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x4

Clock Speeds

1600 MHz
Base Clock
-
1950 MHz
Boost Clock
-
1937 MHz
Memory Clock
1067 MHz

Memory

6GB
Memory Size
4GB
GDDR6
Memory Type
LPDDR5
96bit
Memory Bus
64bit
186.0GB/s
Bandwidth
34.14GB/s

Render Config

-
-
-
-
SM Count
4
1024
Shading Units
512
64
TMUs
16
32
ROPs
8
-
Tensor Cores
16
8
RT Cores
-
-
L1 Cache
128 KB (per SM)
4 MB
L2 Cache
256 KB
-
-
-

Theoretical Performance

62.40 GPixel/s
Pixel Rate
5.000 GPixel/s
124.8 GTexel/s
Texture Rate
10.00 GTexel/s
7.987 TFLOPS
FP16 (half)
1280 GFLOPS
3.994 TFLOPS
FP32 (float)
640.0 GFLOPS
-
FP64 (double)
320.0 GFLOPS

Board Design

75W
TDP
10W
250 W
Suggested PSU
-
1x HDMI 2.1 3x DisplayPort 2.0
Outputs
Portable Device Dependent
1x 8-pin
Power Connectors
-

Graphics Processor

DG2-128
GPU Name
GA10B
ACM-G11
GPU Variant
-
Generation 12.7
Architecture
Ampere
TSMC
Foundry
Samsung
6 nm
Process Size
8 nm
7.2 billion
Transistors
Unknown
157 mm²
Die Size
Unknown

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
-
CUDA
8.6
6.6
Shader Model
6.7
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