NVIDIA Tesla S1070 vs NVIDIA GRID K160Q

VS

We compared two Professional market GPUs: 4GB VRAM Tesla S1070 and 1024MB VRAM GRID K160Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla S1070 's Advantages

More VRAM (4GB vs 1GB)

Larger VRAM bandwidth (102.4GB/s vs 28.51GB/s)

48 additional rendering cores

NVIDIA GRID K160Q 's Advantages

Released 5 years late

Lower TDP (130W vs 800W)

Score

Benchmark

FP32 (float)

Tesla S1070 +90%

0.622 TFLOPS

GRID K160Q

0.326 TFLOPS

Tesla S1070

VS

GRID K160Q

Graphics Card

Jun 2008

Release Date

Jun 2013

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

800 MHz

Memory Clock

891 MHz

Memory

4GB

Memory Size

1024MB

GDDR3

Memory Type

DDR3

512bit

Memory Bus

128bit

102.4GB/s

Bandwidth

28.51GB/s

Render Config

30

SM Count

-

Compute Units

-

240

Shading Units

192

80

TMUs

16

32

ROPs

16

-

Tensor Cores

-

RT Cores

-

L1 Cache

16 KB (per SMX)

256 KB

L2 Cache

256 KB

Theoretical Performance

19.52 GPixel/s

Pixel Rate

3.400 GPixel/s

48.80 GTexel/s

Texture Rate

13.60 GTexel/s

-

FP16 (half)

-

622.1 GFLOPS

FP32 (float)

326.4 GFLOPS

77.76 GFLOPS

FP64 (double)

13.60 GFLOPS

Graphics Processor

GT200B

GPU Name

GK107

-

GPU Variant

-

Tesla 2.0

Architecture

Kepler

TSMC

Foundry

TSMC

55 nm

Process Size

28 nm

1.4 billion

Transistors

1.27 billion

470 mm²

Die Size

118 mm²

Board Design

800W

TDP

130W

1200 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

11.1 (10_0)

DirectX

12 (11_0)

3.3

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.1

1.3

CUDA

3.0

4.0

Shader Model

5.1

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