NVIDIA Tesla C2090 vs NVIDIA RTX A1000 Embedded

VS

NVIDIA Tesla C2090

NVIDIA RTX A1000 Embedded

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 4GB VRAM RTX A1000 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages

More VRAM (6GB vs 4GB)

NVIDIA RTX A1000 Embedded 's Advantages

Released 10 years and 6 months late

Boost Clock1627MHz

Larger VRAM bandwidth (224.0GB/s vs 177.4GB/s)

1536 additional rendering cores

Lower TDP (60W vs 250W)

Score

Benchmark

FP32 (float)

Tesla C2090

1.332 TFLOPS

RTX A1000 Embedded +400%

6.664 TFLOPS

Tesla C2090

VS

RTX A1000 Embedded

Graphics Card

Jul 2011

Release Date

Jan 2022

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

-

Base Clock

1192 MHz

-

Boost Clock

1627 MHz

924 MHz

Memory Clock

1750 MHz

Memory

6GB

Memory Size

4GB

GDDR5

Memory Type

GDDR6

384bit

Memory Bus

128bit

177.4GB/s

Bandwidth

224.0GB/s

Render Config

-

16

SM Count

16

512

Shading Units

2048

64

TMUs

64

48

ROPs

48

-

Tensor Cores

64

-

RT Cores

16

64 KB (per SM)

L1 Cache

128 KB (per SM)

768 KB

L2 Cache

2 MB

-

Theoretical Performance

20.83 GPixel/s

Pixel Rate

78.10 GPixel/s

41.66 GTexel/s

Texture Rate

104.1 GTexel/s

-

FP16 (half)

6.664 TFLOPS

1332 GFLOPS

FP32 (float)

6.664 TFLOPS

666.1 GFLOPS

FP64 (double)

104.1 GFLOPS

Board Design

250W

TDP

60W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GF110

GPU Name

GA107S

-

Fermi 2.0

Architecture

Ampere

TSMC

Foundry

Samsung

40 nm

Process Size

8 nm

3 billion

Transistors

Unknown

520 mm²

Die Size

Unknown

Graphics Features

12 (11_0)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.3

2.0

CUDA

8.6

5.1

Shader Model

6.6

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