NVIDIA Quadro NVS 440 PCIe x16 vs NVIDIA Tesla S1075

VS

NVIDIA Quadro NVS 440 PCIe x16

NVIDIA Tesla S1075

We compared two Professional market GPUs: 48GB VRAM Quadro NVS 440 PCIe x16 and 4GB VRAM Tesla S1075 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro NVS 440 PCIe x16 's Advantages

Released 14 years and 10 months late

Boost Clock2495MHz

More VRAM (48GB vs 4GB)

Larger VRAM bandwidth (864.0GB/s vs 102.4GB/s)

5904 additional rendering cores

Lower TDP (295W vs 800W)

Score

Benchmark

FP32 (float)

Quadro NVS 440 PCIe x16 +9758%

61.32 TFLOPS

Tesla S1075

0.622 TFLOPS

Quadro NVS 440 PCIe x16

VS

Tesla S1075

Graphics Card

Apr 2023

Release Date

Jun 2008

Radeon Pro Navi

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1855 MHz

Base Clock

-

2495 MHz

Boost Clock

-

2250 MHz

Memory Clock

800 MHz

Memory

48GB

Memory Size

4GB

GDDR6

Memory Type

GDDR3

384bit

Memory Bus

512bit

864.0GB/s

Bandwidth

102.4GB/s

Render Config

96

Compute Units

-

SM Count

30

6144

Shading Units

240

384

TMUs

80

192

ROPs

32

-

96

RT Cores

-

256 KB per Array

L1 Cache

-

6 MB

L2 Cache

256 KB

96 MB

L3 Cache

-

Theoretical Performance

479.0 GPixel/s

Pixel Rate

19.52 GPixel/s

958.1 GTexel/s

Texture Rate

48.80 GTexel/s

122.6 TFLOPS

FP16 (half)

-

61.32 TFLOPS

FP32 (float)

622.1 GFLOPS

1.916 TFLOPS

FP64 (double)

77.76 GFLOPS

Board Design

295W

TDP

800W

600 W

Suggested PSU

1200 W

3x DisplayPort 2.1 1x mini-DisplayPort 2.1

Outputs

No outputs

2x 8-pin

Power Connectors

-

Graphics Processor

Navi 31

GPU Name

GT200B

Navi 31

GPU Variant

-

RDNA 3.0

Architecture

Tesla 2.0

TSMC

Foundry

TSMC

5 nm

Process Size

55 nm

57.7 billion

Transistors

1.4 billion

529 mm²

Die Size

470 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

2.2

OpenCL

1.1

1.3

Vulkan

N/A

-

CUDA

1.3

6.7

Shader Model

4.0

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