NVIDIA Tesla C1060 vs NVIDIA Tesla V100 SXM2 32 GB

VS

NVIDIA Tesla C1060

NVIDIA Tesla V100 SXM2 32 GB

We compared two Professional market GPUs: 4GB VRAM Tesla C1060 and 32GB VRAM Tesla V100 SXM2 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C1060 's Advantages

Lower TDP (188W vs 250W)

NVIDIA Tesla V100 SXM2 32 GB 's Advantages

Released 8 years and 11 months late

Boost Clock1530MHz

More VRAM (32GB vs 4GB)

Larger VRAM bandwidth (897.0GB/s vs 102.4GB/s)

4880 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla C1060

0.622 TFLOPS

Tesla V100 SXM2 32 GB +2419%

15.67 TFLOPS

Tesla C1060

VS

Tesla V100 SXM2 32 GB

Graphics Card

Apr 2009

Release Date

Mar 2018

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1290 MHz

-

Boost Clock

1530 MHz

800 MHz

Memory Clock

876 MHz

Memory

4GB

Memory Size

32GB

GDDR3

Memory Type

HBM2

512bit

Memory Bus

4096bit

102.4GB/s

Bandwidth

897.0GB/s

Render Config

-

30

SM Count

80

240

Shading Units

5120

80

TMUs

320

32

ROPs

128

-

Tensor Cores

640

-

L1 Cache

128 KB (per SM)

256 KB

L2 Cache

6 MB

-

Theoretical Performance

19.52 GPixel/s

Pixel Rate

195.8 GPixel/s

48.80 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

622.1 GFLOPS

FP32 (float)

15.67 TFLOPS

77.76 GFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

188W

TDP

250W

450 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

None

Graphics Processor

GT200B

GPU Name

GV100

-

Tesla 2.0

Architecture

Volta

TSMC

Foundry

TSMC

55 nm

Process Size

12 nm

1.4 billion

Transistors

21.1 billion

470 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

CUDA

7.0

4.0

Shader Model

6.6

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