NVIDIA Tesla V100 FHHL vs NVIDIA Quadro NVS 135M

VS

NVIDIA Tesla V100 FHHL

NVIDIA Quadro NVS 135M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 256MB VRAM Quadro NVS 135M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages

Released 10 years and 10 months late

Boost Clock1290MHz

More VRAM (16GB vs 256GB)

Larger VRAM bandwidth (829.4GB/s vs 9.504GB/s)

5104 additional rendering cores

NVIDIA Quadro NVS 135M 's Advantages

Lower TDP (10W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +50707%

13.21 TFLOPS

Quadro NVS 135M

0.026 TFLOPS

Tesla V100 FHHL

VS

Quadro NVS 135M

Graphics Card

Mar 2018

Release Date

May 2007

Tesla

Generation

NVS Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

594 MHz

Memory

16GB

Memory Size

256MB

HBM2

Memory Type

GDDR3

4096bit

Memory Bus

64bit

829.4GB/s

Bandwidth

9.504GB/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

16 KB

-

Theoretical Performance

165.1 GPixel/s

Pixel Rate

1.600 GPixel/s

412.8 GTexel/s

Texture Rate

3.200 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

25.60 GFLOPS

6.605 TFLOPS

FP64 (double)

-

Board Design

250W

TDP

10W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Processor

GV100

GPU Name

G86

-

GPU Variant

G86-621-A2

Volta

Architecture

Tesla

TSMC

Foundry

TSMC

12 nm

Process Size

80 nm

21.1 billion

Transistors

0.21 billion

815 mm²

Die Size

127 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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