NVIDIA Tesla PG500 216 vs NVIDIA Jetson Orin Nano 4 GB

VS

NVIDIA Tesla PG500 216

NVIDIA Jetson Orin Nano 4 GB

We compared two Professional market GPUs: 32GB VRAM Tesla PG500 216 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

NVIDIA Tesla PG500 216 's Advantages

Boost Clock1380MHz

More VRAM (32GB vs 4GB)

Larger VRAM bandwidth (1133GB/s vs 34.14GB/s)

4608 additional rendering cores

NVIDIA Jetson Orin Nano 4 GB 's Advantages

Released 3 years and 4 months late

Lower TDP (10W vs 250W)

Score

Benchmark

FP32 (float)

Tesla PG500 216 +2107%

14.13 TFLOPS

Jetson Orin Nano 4 GB

0.64 TFLOPS

Tesla PG500 216

VS

Jetson Orin Nano 4 GB

Graphics Card

Nov 2019

Release Date

Mar 2023

Tesla

Generation

Tegra

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x4

Clock Speeds

1260 MHz

Base Clock

-

1380 MHz

Boost Clock

-

1106 MHz

Memory Clock

1067 MHz

Memory

32GB

Memory Size

4GB

HBM2

Memory Type

LPDDR5

4096bit

Memory Bus

64bit

1133GB/s

Bandwidth

34.14GB/s

Render Config

-

80

SM Count

4

5120

Shading Units

512

320

TMUs

16

128

ROPs

8

640

Tensor Cores

16

-

128 KB (per SM)

L1 Cache

128 KB (per SM)

6 MB

L2 Cache

256 KB

-

Theoretical Performance

176.6 GPixel/s

Pixel Rate

5.000 GPixel/s

441.6 GTexel/s

Texture Rate

10.00 GTexel/s

28.26 TFLOPS

FP16 (half)

1280 GFLOPS

14.13 TFLOPS

FP32 (float)

640.0 GFLOPS

7.066 TFLOPS

FP64 (double)

320.0 GFLOPS

Board Design

250W

TDP

10W

600 W

Suggested PSU

-

No outputs

Outputs

Portable Device Dependent

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

GA10B

-

Volta

Architecture

Ampere

TSMC

Foundry

Samsung

12 nm

Process Size

8 nm

21.1 billion

Transistors

Unknown

815 mm²

Die Size

Unknown

Graphics Features

12 (12_1)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

7.0

CUDA

8.6

6.6

Shader Model

6.7

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