NVIDIA Tesla C2090 vs NVIDIA RTX 4000 SFF Ada Generation

VS

NVIDIA Tesla C2090

NVIDIA RTX 4000 SFF Ada Generation

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 20GB VRAM RTX 4000 SFF Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 4000 SFF Ada Generation 's Advantages

Released 11 years and 8 months late

Boost Clock1560MHz

More VRAM (20GB vs 6GB)

Larger VRAM bandwidth (280.0GB/s vs 177.4GB/s)

5632 additional rendering cores

Lower TDP (70W vs 250W)

Score

Benchmark

FP32 (float)

Tesla C2090

1.332 TFLOPS

RTX 4000 SFF Ada Generation +1339%

19.17 TFLOPS

Tesla C2090

VS

RTX 4000 SFF Ada Generation

Graphics Card

Jul 2011

Release Date

Mar 2023

Tesla

Generation

Quadro Ada

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

-

Base Clock

720 MHz

-

Boost Clock

1560 MHz

924 MHz

Memory Clock

1750 MHz

Memory

6GB

Memory Size

20GB

GDDR5

Memory Type

GDDR6

384bit

Memory Bus

160bit

177.4GB/s

Bandwidth

280.0GB/s

Render Config

-

16

SM Count

48

512

Shading Units

6144

64

TMUs

192

48

ROPs

80

-

Tensor Cores

192

-

RT Cores

48

64 KB (per SM)

L1 Cache

128 KB (per SM)

768 KB

L2 Cache

48 MB

-

Theoretical Performance

20.83 GPixel/s

Pixel Rate

124.8 GPixel/s

41.66 GTexel/s

Texture Rate

299.5 GTexel/s

-

FP16 (half)

19.17 TFLOPS

1332 GFLOPS

FP32 (float)

19.17 TFLOPS

666.1 GFLOPS

FP64 (double)

299.5 GFLOPS

Board Design

250W

TDP

70W

600 W

Suggested PSU

250 W

No outputs

Outputs

4x mini-DisplayPort 1.4a

-

Power Connectors

None

Graphics Processor

GF110

GPU Name

AD104

-

Fermi 2.0

Architecture

Ada Lovelace

TSMC

Foundry

TSMC

40 nm

Process Size

5 nm

3 billion

Transistors

35.8 billion

520 mm²

Die Size

294 mm²

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

8.9

5.1

Shader Model

6.7

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