Intel Data Center GPU Max Subsystem vs NVIDIA Quadro NVS 420

VS

Intel Data Center GPU Max Subsystem NVIDIA Quadro NVS 420

We compared two Professional market GPUs: 128GB VRAM Data Center GPU Max Subsystem and 256MB VRAM Quadro NVS 420 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Max Subsystem 's Advantages

Released 14 years late

Boost Clock1600MHz

Larger VRAM bandwidth (3205GB/s vs 11.20GB/s)

16376 additional rendering cores

NVIDIA Quadro NVS 420 's Advantages

Lower TDP (40W vs 2400W)

Score

Benchmark

FP32 (float)

Data Center GPU Max Subsystem +238218%

52.43 TFLOPS

Quadro NVS 420

0.022 TFLOPS

Data Center GPU Max Subsystem

VS

Quadro NVS 420

Graphics Card

Jan 2023

Release Date

Jan 2009

Data Center GPU

Generation

Quadro NVS

Professional

Type

Professional

PCIe 5.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

900 MHz

Base Clock

-

1600 MHz

Boost Clock

-

1565 MHz

Memory Clock

700 MHz

Memory

128GB

Memory Size

256MB

HBM2e

Memory Type

GDDR3

8192bit

Memory Bus

64bit

3205GB/s

Bandwidth

11.20GB/s

Render Config

-

SM Count

1

-

Compute Units

-

16384

Shading Units

8

1024

TMUs

4

0

ROPs

4

1024

Tensor Cores

-

128

RT Cores

-

64 KB (per EU)

L1 Cache

-

408 MB

L2 Cache

16 KB

Theoretical Performance

0 MPixel/s

Pixel Rate

2.200 GPixel/s

1638 GTexel/s

Texture Rate

2.200 GTexel/s

52.43 TFLOPS

FP16 (half)

-

52.43 TFLOPS

FP32 (float)

22.40 GFLOPS

52.43 TFLOPS

FP64 (double)

-

Graphics Processor

Ponte Vecchio

GPU Name

G98

-

GPU Variant

-

Generation 12.5

Architecture

Tesla

Intel

Foundry

TSMC

10 nm

Process Size

65 nm

100 billion

Transistors

0.21 billion

1280 mm²

Die Size

86 mm²

Board Design

2400W

TDP

40W

2800 W

Suggested PSU

200 W

No outputs

Outputs

1x VHDCI

1x 16-pin

Power Connectors

None

Graphics Features

12 (12_1)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

N/A

Vulkan

N/A

-

CUDA

1.1

6.6

Shader Model

4.0

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