NVIDIA Quadro FX 2800M vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro FX 2800M

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 1024MB VRAM Quadro FX 2800M and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro FX 2800M 's Advantages

Lower TDP (75W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 8 years and 3 months late

Boost Clock1290MHz

More VRAM (16GB vs 1024GB)

Larger VRAM bandwidth (829.4GB/s vs 64.00GB/s)

5024 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro FX 2800M

0.288 TFLOPS

Tesla V100 FHHL +4486%

13.21 TFLOPS

Quadro FX 2800M

VS

Tesla V100 FHHL

Graphics Card

Dec 2009

Release Date

Mar 2018

Quadro FX Mobile

Generation

Tesla

Professional

Type

Professional

MXM-B (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

937 MHz

-

Boost Clock

1290 MHz

1000 MHz

Memory Clock

810 MHz

Memory

1024MB

Memory Size

16GB

GDDR3

Memory Type

HBM2

256bit

Memory Bus

4096bit

64.00GB/s

Bandwidth

829.4GB/s

Render Config

-

12

SM Count

80

96

Shading Units

5120

48

TMUs

320

16

ROPs

128

-

Tensor Cores

640

-

L1 Cache

128 KB (per SM)

64 KB

L2 Cache

6 MB

-

Theoretical Performance

9.600 GPixel/s

Pixel Rate

165.1 GPixel/s

28.80 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

288.0 GFLOPS

FP32 (float)

13.21 TFLOPS

-

FP64 (double)

6.605 TFLOPS

Board Design

75W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 8-pin

Graphics Processor

G92

GPU Name

GV100

N10E-GLM

GPU Variant

-

Tesla

Architecture

Volta

TSMC

Foundry

TSMC

65 nm

Process Size

12 nm

0.754 billion

Transistors

21.1 billion

324 mm²

Die Size

815 mm²

Graphics Features

11.1 (10_0)

DirectX

12 (12_1)

3.3

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.3

1.1

CUDA

7.0

4.0

Shader Model

6.6

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