NVIDIA Quadro GV100 vs NVIDIA Tesla C2070

VS

NVIDIA Quadro GV100

NVIDIA Tesla C2070

We compared two Professional market GPUs: 32GB VRAM Quadro GV100 and 6GB VRAM Tesla C2070 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro GV100 's Advantages

Released 6 years and 8 months late

Boost Clock1627MHz

More VRAM (32GB vs 6GB)

Larger VRAM bandwidth (868.4GB/s vs 143.4GB/s)

4672 additional rendering cores

NVIDIA Tesla C2070 's Advantages

Lower TDP (238W vs 250W)

Score

Benchmark

FP32 (float)

Quadro GV100 +1520%

16.66 TFLOPS

Tesla C2070

1.028 TFLOPS

Quadro GV100

VS

Tesla C2070

Graphics Card

Mar 2018

Release Date

Jul 2011

Quadro Volta

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1132 MHz

Base Clock

-

1627 MHz

Boost Clock

-

848 MHz

Memory Clock

747 MHz

Memory

32GB

Memory Size

6GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

384bit

868.4GB/s

Bandwidth

143.4GB/s

Render Config

-

80

SM Count

14

5120

Shading Units

448

320

TMUs

56

128

ROPs

48

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

6 MB

L2 Cache

768 KB

-

Theoretical Performance

208.3 GPixel/s

Pixel Rate

16.07 GPixel/s

520.6 GTexel/s

Texture Rate

32.14 GTexel/s

33.32 TFLOPS

FP16 (half)

-

16.66 TFLOPS

FP32 (float)

1028 GFLOPS

8.330 TFLOPS

FP64 (double)

513.9 GFLOPS

Board Design

250W

TDP

238W

600 W

Suggested PSU

550 W

4x DisplayPort 1.4a

Outputs

1x DVI

1x 8-pin

Power Connectors

1x 8-pin

Graphics Processor

GV100

GPU Name

GF100

GV100-875-A1

GPU Variant

-

Volta

Architecture

Fermi

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

21.1 billion

Transistors

3.1 billion

815 mm²

Die Size

529 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

2.0

6.7

Shader Model

5.1

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