NVIDIA RTX 4000 SFF Ada Generation vs NVIDIA Tesla C1060

VS

NVIDIA RTX 4000 SFF Ada Generation

NVIDIA Tesla C1060

We compared two Professional market GPUs: 20GB VRAM RTX 4000 SFF Ada Generation and 4GB VRAM Tesla C1060 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 13 years and 11 months late

Boost Clock1560MHz

More VRAM (20GB vs 4GB)

Larger VRAM bandwidth (280.0GB/s vs 102.4GB/s)

5904 additional rendering cores

Lower TDP (70W vs 188W)

Score

Benchmark

FP32 (float)

RTX 4000 SFF Ada Generation +2981%

19.17 TFLOPS

Tesla C1060

0.622 TFLOPS

RTX 4000 SFF Ada Generation

VS

Tesla C1060

Graphics Card

Mar 2023

Release Date

Apr 2009

Quadro Ada

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

720 MHz

Base Clock

-

1560 MHz

Boost Clock

-

1750 MHz

Memory Clock

800 MHz

Memory

20GB

Memory Size

4GB

GDDR6

Memory Type

GDDR3

160bit

Memory Bus

512bit

280.0GB/s

Bandwidth

102.4GB/s

Render Config

-

48

SM Count

30

6144

Shading Units

240

192

TMUs

80

ROPs

32

192

Tensor Cores

-

48

RT Cores

-

128 KB (per SM)

L1 Cache

-

48 MB

L2 Cache

256 KB

-

Theoretical Performance

124.8 GPixel/s

Pixel Rate

19.52 GPixel/s

299.5 GTexel/s

Texture Rate

48.80 GTexel/s

19.17 TFLOPS

FP16 (half)

-

19.17 TFLOPS

FP32 (float)

622.1 GFLOPS

299.5 GFLOPS

FP64 (double)

77.76 GFLOPS

Board Design

70W

TDP

188W

250 W

Suggested PSU

450 W

4x mini-DisplayPort 1.4a

Outputs

No outputs

None

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

AD104

GPU Name

GT200B

-

Ada Lovelace

Architecture

Tesla 2.0

TSMC

Foundry

TSMC

5 nm

Process Size

55 nm

35.8 billion

Transistors

1.4 billion

294 mm²

Die Size

470 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

1.3

Vulkan

N/A

8.9

CUDA

1.3

6.7

Shader Model

4.0

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