Home GPU Comparison NVIDIA Tesla K80 vs NVIDIA Quadro P1000

NVIDIA Tesla K80 vs NVIDIA Quadro P1000

We compared two Professional market GPUs: 12GB VRAM Tesla K80 and 4GB VRAM Quadro P1000 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K80 's Advantages
More VRAM (12GB vs 4GB)
Larger VRAM bandwidth (240.6GB/s vs 80.19GB/s)
1856 additional rendering cores
NVIDIA Quadro P1000 's Advantages
Released 2 years and 3 months late
Boost Clock has increased by 80% (1480MHz vs 824MHz)
Lower TDP (47W vs 300W)

Score

Benchmark

FP32 (float)
Tesla K80 +117%
4.113 TFLOPS
Quadro P1000
1.894 TFLOPS
Blender
Tesla K80 +186%
373
Quadro P1000
130
OctaneBench
Tesla K80 +93%
62
Quadro P1000
32
VS

Graphics Card

Nov 2014
Release Date
Feb 2017
Tesla
Generation
Quadro
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

562 MHz
Base Clock
1266 MHz
824 MHz
Boost Clock
1480 MHz
1253 MHz
Memory Clock
1253 MHz

Memory

12GB
Memory Size
4GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
128bit
240.6GB/s
Bandwidth
80.19GB/s

Render Config

-
SM Count
5
-
Compute Units
-
2496
Shading Units
640
208
TMUs
40
48
ROPs
32
-
Tensor Cores
-
-
RT Cores
-
16 KB (per SMX)
L1 Cache
48 KB (per SM)
1536 KB
L2 Cache
1024 KB

Theoretical Performance

42.85 GPixel/s
Pixel Rate
47.36 GPixel/s
171.4 GTexel/s
Texture Rate
59.20 GTexel/s
-
FP16 (half)
29.60 GFLOPS
4.113 TFLOPS
FP32 (float)
1.894 TFLOPS
1371 GFLOPS
FP64 (double)
59.20 GFLOPS

Graphics Processor

GK210
GPU Name
GP107
GK210-885-A1
GPU Variant
GP107-860-A1
Kepler 2.0
Architecture
Pascal
TSMC
Foundry
Samsung
28 nm
Process Size
14 nm
7.1 billion
Transistors
3.3 billion
561 mm²
Die Size
132 mm²

Board Design

300W
TDP
47W
700 W
Suggested PSU
200 W
No outputs
Outputs
4x mini-DisplayPort 1.4a
1x 8-pin
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
3.7
CUDA
6.1
5.1
Shader Model
6.4

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