NVIDIA Tesla K40st vs NVIDIA Quadro T1000 Max Q

VS

NVIDIA Tesla K40st NVIDIA Quadro T1000 Max Q

We compared two Professional market GPUs: 12GB VRAM Tesla K40st and 4GB VRAM Quadro T1000 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40st 's Advantages

More VRAM (12GB vs 4GB)

Larger VRAM bandwidth (288.4GB/s vs 80.00GB/s)

1984 additional rendering cores

NVIDIA Quadro T1000 Max Q 's Advantages

Released 5 years and 6 months late

Boost Clock1350MHz

Lower TDP (50W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40st +36%

3.312 TFLOPS

Quadro T1000 Max Q

2.419 TFLOPS

Tesla K40st

VS

Quadro T1000 Max Q

Graphics Card

Nov 2013

Release Date

May 2019

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

765 MHz

-

Boost Clock

1350 MHz

1502 MHz

Memory Clock

1250 MHz

Memory

12GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

128bit

288.4GB/s

Bandwidth

80.00GB/s

Render Config

-

SM Count

14

-

Compute Units

-

2880

Shading Units

896

240

TMUs

56

48

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1536 KB

L2 Cache

1024 KB

Theoretical Performance

34.50 GPixel/s

Pixel Rate

43.20 GPixel/s

138.0 GTexel/s

Texture Rate

75.60 GTexel/s

-

FP16 (half)

4.838 TFLOPS

3.312 TFLOPS

FP32 (float)

2.419 TFLOPS

1104 GFLOPS

FP64 (double)

75.60 GFLOPS

Graphics Processor

GK110B

GPU Name

TU117

-

GPU Variant

-

Kepler

Architecture

Turing

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

7.08 billion

Transistors

4.7 billion

561 mm²

Die Size

200 mm²

Board Design

245W

TDP

50W

550 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Features

12 (11_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

7.5

5.1

Shader Model

6.6

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