NVIDIA Jetson Orin Nano 4 GB vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Jetson Orin Nano 4 GB

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 4GB VRAM Jetson Orin Nano 4 GB and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Jetson Orin Nano 4 GB 's Advantages

Released 5 years late

Lower TDP (10W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Boost Clock1290MHz

More VRAM (16GB vs 4GB)

Larger VRAM bandwidth (829.4GB/s vs 34.14GB/s)

4608 additional rendering cores

Score

Benchmark

FP32 (float)

Jetson Orin Nano 4 GB

0.64 TFLOPS

Tesla V100 FHHL +1964%

13.21 TFLOPS

Jetson Orin Nano 4 GB

VS

Tesla V100 FHHL

Graphics Card

Mar 2023

Release Date

Mar 2018

Tegra

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x4

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

937 MHz

-

Boost Clock

1290 MHz

1067 MHz

Memory Clock

810 MHz

Memory

4GB

Memory Size

16GB

LPDDR5

Memory Type

HBM2

64bit

Memory Bus

4096bit

34.14GB/s

Bandwidth

829.4GB/s

Render Config

-

4

SM Count

80

512

Shading Units

5120

16

TMUs

320

8

ROPs

128

16

Tensor Cores

640

-

128 KB (per SM)

L1 Cache

128 KB (per SM)

256 KB

L2 Cache

6 MB

-

Theoretical Performance

5.000 GPixel/s

Pixel Rate

165.1 GPixel/s

10.00 GTexel/s

Texture Rate

412.8 GTexel/s

1280 GFLOPS

FP16 (half)

26.42 TFLOPS

640.0 GFLOPS

FP32 (float)

13.21 TFLOPS

320.0 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

10W

TDP

250W

-

Suggested PSU

600 W

Portable Device Dependent

Outputs

No outputs

-

Power Connectors

1x 8-pin

Graphics Processor

GA10B

GPU Name

GV100

-

Ampere

Architecture

Volta

Samsung

Foundry

TSMC

8 nm

Process Size

12 nm

Unknown

Transistors

21.1 billion

Unknown

Die Size

815 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

7.0

6.7

Shader Model

6.6

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