NVIDIA RTX A500 Embedded vs NVIDIA Tesla C2090

VS

NVIDIA RTX A500 Embedded

NVIDIA Tesla C2090

We compared two Professional market GPUs: 4GB VRAM RTX A500 Embedded and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A500 Embedded 's Advantages

Released 10 years and 8 months late

Boost Clock1335MHz

1536 additional rendering cores

Lower TDP (20W vs 250W)

NVIDIA Tesla C2090 's Advantages

More VRAM (6GB vs 4GB)

Larger VRAM bandwidth (177.4GB/s vs 96.00GB/s)

Score

Benchmark

FP32 (float)

RTX A500 Embedded +310%

5.468 TFLOPS

Tesla C2090

1.332 TFLOPS

RTX A500 Embedded

VS

Tesla C2090

Graphics Card

Mar 2022

Release Date

Jul 2011

Quadro Ampere-M

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x8

Bus Interface

PCIe 2.0 x16

Clock Speeds

435 MHz

Base Clock

-

1335 MHz

Boost Clock

-

1500 MHz

Memory Clock

924 MHz

Memory

4GB

Memory Size

6GB

GDDR6

Memory Type

GDDR5

64bit

Memory Bus

384bit

96.00GB/s

Bandwidth

177.4GB/s

Render Config

-

16

SM Count

16

2048

Shading Units

512

64

TMUs

64

32

ROPs

48

64

Tensor Cores

-

16

RT Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

2 MB

L2 Cache

768 KB

-

Theoretical Performance

42.72 GPixel/s

Pixel Rate

20.83 GPixel/s

85.44 GTexel/s

Texture Rate

41.66 GTexel/s

5.468 TFLOPS

FP16 (half)

-

5.468 TFLOPS

FP32 (float)

1332 GFLOPS

85.44 GFLOPS

FP64 (double)

666.1 GFLOPS

Board Design

20W

TDP

250W

-

Suggested PSU

600 W

Portable Device Dependent

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GA107S

GPU Name

GF110

-

Ampere

Architecture

Fermi 2.0

Samsung

Foundry

TSMC

8 nm

Process Size

40 nm

8.7 billion

Transistors

3 billion

200 mm²

Die Size

520 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

8.6

CUDA

2.0

6.7

Shader Model

5.1

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