Home GPU Comparison NVIDIA Jetson Orin Nano 8 GB vs NVIDIA Tesla M40 24 GB

NVIDIA Jetson Orin Nano 8 GB vs NVIDIA Tesla M40 24 GB

We compared two Professional market GPUs: 8GB VRAM Jetson Orin Nano 8 GB and 24GB VRAM Tesla M40 24 GB 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 years and 4 months late
Lower TDP (15W vs 250W)
NVIDIA Tesla M40 24 GB 's Advantages
Boost Clock1112MHz
More VRAM (24GB vs 8GB)
Larger VRAM bandwidth (288.4GB/s vs 68.29GB/s)
2048 additional rendering cores

Score

Benchmark

FP32 (float)
Jetson Orin Nano 8 GB
1.28 TFLOPS
Tesla M40 24 GB +433%
6.832 TFLOPS
VS

Graphics Card

Mar 2023
Release Date
Nov 2015
Tegra
Generation
Tesla Maxwell
Professional
Type
Professional
PCIe 4.0 x4
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
948 MHz
-
Boost Clock
1112 MHz
1067 MHz
Memory Clock
1502 MHz

Memory

8GB
Memory Size
24GB
LPDDR5
Memory Type
GDDR5
128bit
Memory Bus
384bit
68.29GB/s
Bandwidth
288.4GB/s

Render Config

-
-
-
8
SM Count
-
1024
Shading Units
3072
32
TMUs
192
16
ROPs
96
32
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
48 KB (per SMM)
256 KB
L2 Cache
3 MB
-
-
-

Theoretical Performance

10.00 GPixel/s
Pixel Rate
106.8 GPixel/s
20.00 GTexel/s
Texture Rate
213.5 GTexel/s
2.560 TFLOPS
FP16 (half)
-
1280 GFLOPS
FP32 (float)
6.832 TFLOPS
640.0 GFLOPS
FP64 (double)
213.5 GFLOPS

Board Design

15W
TDP
250W
-
Suggested PSU
600 W
Portable Device Dependent
Outputs
No outputs
-
Power Connectors
8-pin EPS

Graphics Processor

GA10B
GPU Name
GM200
-
GPU Variant
GM200-895-A1
Ampere
Architecture
Maxwell 2.0
Samsung
Foundry
TSMC
8 nm
Process Size
28 nm
Unknown
Transistors
8 billion
Unknown
Die Size
601 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.6
CUDA
5.2
6.7
Shader Model
6.7

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