NVIDIA Tesla C2090 vs AMD Radeon PRO W7800

VS

NVIDIA Tesla C2090

AMD Radeon PRO W7800

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 32GB VRAM Radeon PRO W7800 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages

Lower TDP (250W vs 260W)

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

Score

Benchmark

FP32 (float)

Tesla C2090

1.332 TFLOPS

Radeon PRO W7800 +3261%

44.78 TFLOPS

Tesla C2090

VS

Radeon PRO W7800

Graphics Card

Jul 2011

Release Date

Apr 2023

Tesla

Generation

Radeon Pro Navi

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

-

Base Clock

1855 MHz

-

Boost Clock

2499 MHz

924 MHz

Memory Clock

2250 MHz

Memory

6GB

Memory Size

32GB

GDDR5

Memory Type

GDDR6

384bit

Memory Bus

256bit

177.4GB/s

Bandwidth

576.0GB/s

Render Config

-

Compute Units

70

16

SM Count

-

512

Shading Units

4480

64

TMUs

280

48

ROPs

128

-

RT Cores

70

64 KB (per SM)

L1 Cache

256 KB per Array

768 KB

L2 Cache

6 MB

-

L3 Cache

64 MB

Theoretical Performance

20.83 GPixel/s

Pixel Rate

319.9 GPixel/s

41.66 GTexel/s

Texture Rate

699.7 GTexel/s

-

FP16 (half)

89.56 TFLOPS

1332 GFLOPS

FP32 (float)

44.78 TFLOPS

666.1 GFLOPS

FP64 (double)

1399 GFLOPS

Board Design

250W

TDP

260W

600 W

Suggested PSU

600 W

No outputs

Outputs

3x DisplayPort 2.1 1x mini-DisplayPort 2.1

-

Power Connectors

2x 8-pin

Graphics Processor

GF110

GPU Name

Navi 31

-

GPU Variant

Navi 31

Fermi 2.0

Architecture

RDNA 3.0

TSMC

Foundry

TSMC

40 nm

Process Size

5 nm

3 billion

Transistors

57.7 billion

520 mm²

Die Size

529 mm²

Graphics Features

12 (11_0)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

1.1

OpenCL

2.2

N/A

Vulkan

1.3

2.0

CUDA

-

5.1

Shader Model

6.7

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