AMD Radeon PRO W7800 vs NVIDIA Tesla X2090

VS

AMD Radeon PRO W7800

NVIDIA Tesla X2090

We compared two Professional market GPUs: 32GB VRAM Radeon PRO W7800 and 6GB VRAM Tesla X2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon PRO W7800 's Advantages

Released 11 years and 9 months late

Boost Clock2499MHz

More VRAM (32GB vs 6GB)

Larger VRAM bandwidth (576.0GB/s vs 177.4GB/s)

3968 additional rendering cores

NVIDIA Tesla X2090 's Advantages

Lower TDP (225W vs 260W)

Score

Benchmark

FP32 (float)

Radeon PRO W7800 +3261%

44.78 TFLOPS

Tesla X2090

1.332 TFLOPS

Radeon PRO W7800

VS

Tesla X2090

Graphics Card

Apr 2023

Release Date

Jul 2011

Radeon Pro Navi

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1855 MHz

Base Clock

-

2499 MHz

Boost Clock

-

2250 MHz

Memory Clock

924 MHz

Memory

32GB

Memory Size

6GB

GDDR6

Memory Type

GDDR5

256bit

Memory Bus

384bit

576.0GB/s

Bandwidth

177.4GB/s

Render Config

70

Compute Units

-

SM Count

16

4480

Shading Units

512

280

TMUs

64

128

ROPs

48

-

70

RT Cores

-

256 KB per Array

L1 Cache

64 KB (per SM)

6 MB

L2 Cache

768 KB

64 MB

L3 Cache

-

Theoretical Performance

319.9 GPixel/s

Pixel Rate

20.83 GPixel/s

699.7 GTexel/s

Texture Rate

41.66 GTexel/s

89.56 TFLOPS

FP16 (half)

-

44.78 TFLOPS

FP32 (float)

1332 GFLOPS

1399 GFLOPS

FP64 (double)

666.1 GFLOPS

Board Design

260W

TDP

225W

600 W

Suggested PSU

550 W

3x DisplayPort 2.1 1x mini-DisplayPort 2.1

Outputs

No outputs

2x 8-pin

Power Connectors

-

Graphics Processor

Navi 31

GPU Name

GF110

Navi 31

GPU Variant

-

RDNA 3.0

Architecture

Fermi 2.0

TSMC

Foundry

TSMC

5 nm

Process Size

40 nm

57.7 billion

Transistors

3 billion

529 mm²

Die Size

520 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (11_0)

4.6

OpenGL

4.6

2.2

OpenCL

1.1

1.3

Vulkan

N/A

-

CUDA

2.0

6.7

Shader Model

5.1

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