NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro FX 2800M

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro FX 2800M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 1024MB VRAM Quadro FX 2800M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 9 years and 11 months late

Boost Clock1597MHz

More VRAM (16GB vs 1024GB)

Larger VRAM bandwidth (1133GB/s vs 64.00GB/s)

5024 additional rendering cores

NVIDIA Quadro FX 2800M 's Advantages

Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +5577%

16.35 TFLOPS

Quadro FX 2800M

0.288 TFLOPS

Tesla V100 SXM2 16 GB

VS

Quadro FX 2800M

Graphics Card

Nov 2019

Release Date

Dec 2009

Tesla

Generation

Quadro FX Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

1000 MHz

Memory

16GB

Memory Size

1024MB

HBM2

Memory Type

GDDR3

4096bit

Memory Bus

256bit

1133GB/s

Bandwidth

64.00GB/s

Render Config

-

80

SM Count

12

5120

Shading Units

96

320

TMUs

48

128

ROPs

16

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

-

6 MB

L2 Cache

64 KB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

9.600 GPixel/s

511.0 GTexel/s

Texture Rate

28.80 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

288.0 GFLOPS

8.177 TFLOPS

FP64 (double)

-

Board Design

250W

TDP

75W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

G92

-

GPU Variant

N10E-GLM

Volta

Architecture

Tesla

TSMC

Foundry

TSMC

12 nm

Process Size

65 nm

21.1 billion

Transistors

0.754 billion

815 mm²

Die Size

324 mm²

Graphics Features

12 (12_1)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

1.1

6.6

Shader Model

4.0

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