NVIDIA Tesla M1060 vs NVIDIA RTX 4000 SFF Ada Generation

VS

NVIDIA Tesla M1060

NVIDIA RTX 4000 SFF Ada Generation

We compared two Professional market GPUs: 2GB VRAM Tesla M1060 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 14 years and 9 months late

Boost Clock1560MHz

More VRAM (20GB vs 2GB)

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

5904 additional rendering cores

Lower TDP (70W vs 188W)

Score

Benchmark

FP32 (float)

Tesla M1060

0.622 TFLOPS

RTX 4000 SFF Ada Generation +2981%

19.17 TFLOPS

Tesla M1060

VS

RTX 4000 SFF Ada Generation

Graphics Card

Jun 2008

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

800 MHz

Memory Clock

1750 MHz

Memory

2GB

Memory Size

20GB

GDDR3

Memory Type

GDDR6

512bit

Memory Bus

160bit

102.4GB/s

Bandwidth

280.0GB/s

Render Config

-

30

SM Count

48

240

Shading Units

6144

80

TMUs

192

32

ROPs

80

-

Tensor Cores

192

-

RT Cores

48

-

L1 Cache

128 KB (per SM)

256 KB

L2 Cache

48 MB

-

Theoretical Performance

19.52 GPixel/s

Pixel Rate

124.8 GPixel/s

48.80 GTexel/s

Texture Rate

299.5 GTexel/s

-

FP16 (half)

19.17 TFLOPS

622.1 GFLOPS

FP32 (float)

19.17 TFLOPS

77.76 GFLOPS

FP64 (double)

299.5 GFLOPS

Board Design

188W

TDP

70W

450 W

Suggested PSU

250 W

No outputs

Outputs

4x mini-DisplayPort 1.4a

1x 6-pin + 1x 8-pin

Power Connectors

None

Graphics Processor

GT200B

GPU Name

AD104

-

Tesla 2.0

Architecture

Ada Lovelace

TSMC

Foundry

TSMC

55 nm

Process Size

5 nm

1.4 billion

Transistors

35.8 billion

470 mm²

Die Size

294 mm²

Graphics Features

11.1 (10_0)

DirectX

12 Ultimate (12_2)

3.3

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.3

CUDA

8.9

4.0

Shader Model

6.7

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