NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Quadro FX 380M

VS

NVIDIA Tesla V100 DGXS 16 GB

NVIDIA Quadro FX 380M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 DGXS 16 GB and 512MB VRAM Quadro FX 380M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 16 GB 's Advantages

Released 8 years and 2 months late

Boost Clock1530MHz

More VRAM (16GB vs 512GB)

Larger VRAM bandwidth (897.0GB/s vs 12.64GB/s)

5104 additional rendering cores

NVIDIA Quadro FX 380M 's Advantages

Lower TDP (25W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 DGXS 16 GB +33240%

15.67 TFLOPS

Quadro FX 380M

0.047 TFLOPS

Tesla V100 DGXS 16 GB

VS

Quadro FX 380M

Graphics Card

Mar 2018

Release Date

Jan 2010

Tesla

Generation

Quadro FX Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1327 MHz

Base Clock

-

1530 MHz

Boost Clock

-

876 MHz

Memory Clock

790 MHz

Memory

16GB

Memory Size

512MB

HBM2

Memory Type

GDDR3

4096bit

Memory Bus

64bit

897.0GB/s

Bandwidth

12.64GB/s

Render Config

-

80

SM Count

2

5120

Shading Units

16

320

TMUs

8

128

ROPs

4

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

-

6 MB

L2 Cache

32 KB

-

Theoretical Performance

195.8 GPixel/s

Pixel Rate

2.424 GPixel/s

489.6 GTexel/s

Texture Rate

4.848 GTexel/s

31.33 TFLOPS

FP16 (half)

-

15.67 TFLOPS

FP32 (float)

46.98 GFLOPS

7.834 TFLOPS

FP64 (double)

-

Board Design

250W

TDP

25W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

GT218

-

GPU Variant

N10M-GLM

Volta

Architecture

Tesla 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

21.1 billion

Transistors

0.26 billion

815 mm²

Die Size

57 mm²

Graphics Features

12 (12_1)

DirectX

11.1 (10_1)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

1.2

6.6

Shader Model

4.1

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