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GPU Comparison
NVIDIA Tesla V100 PCIe 16 GB vs NVIDIA Quadro K1000M
NVIDIA Tesla V100 PCIe 16 GB vs NVIDIA Quadro K1000M
VS
NVIDIA Tesla V100 PCIe 16 GB
NVIDIA Quadro K1000M
We compared two Professional market GPUs: 16GB VRAM Tesla V100 PCIe 16 GB and 2GB VRAM Quadro K1000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla V100 PCIe 16 GB 's Advantages
Released 5 years late
Boost Clock1380MHz
More VRAM (16GB vs 2GB)
Larger VRAM bandwidth (897.0GB/s vs 28.80GB/s)
4928 additional rendering cores
NVIDIA Quadro K1000M 's Advantages
Lower TDP (45W vs 300W)
Score
Benchmark
FP32 (float)
Tesla V100 PCIe 16 GB
+4234%
14.13 TFLOPS
Quadro K1000M
0.326 TFLOPS
Tesla V100 PCIe 16 GB
VS
Quadro K1000M
Graphics Card
Jun 2017
Release Date
Jun 2012
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
MXM-A (3.0)
Clock Speeds
1245 MHz
Base Clock
-
1380 MHz
Boost Clock
-
876 MHz
Memory Clock
900 MHz
Memory
16GB
Memory Size
2GB
HBM2
Memory Type
DDR3
4096bit
Memory Bus
128bit
897.0GB/s
Bandwidth
28.80GB/s
Render Config
80
SM Count
-
-
Compute Units
-
5120
Shading Units
192
320
TMUs
16
128
ROPs
16
640
Tensor Cores
-
-
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
6 MB
L2 Cache
256 KB
Theoretical Performance
176.6 GPixel/s
Pixel Rate
3.400 GPixel/s
441.6 GTexel/s
Texture Rate
13.60 GTexel/s
28.26 TFLOPS
FP16 (half)
-
14.13 TFLOPS
FP32 (float)
326.4 GFLOPS
7.066 TFLOPS
FP64 (double)
13.60 GFLOPS
Graphics Processor
GV100
GPU Name
GK107
-
GPU Variant
N14P-Q1-A2
Volta
Architecture
Kepler
TSMC
Foundry
TSMC
12 nm
Process Size
28 nm
21.1 billion
Transistors
1.27 billion
815 mm²
Die Size
118 mm²
Board Design
300W
TDP
45W
700 W
Suggested PSU
-
No outputs
Outputs
No outputs
2x 8-pin
Power Connectors
-
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
7.0
CUDA
3.0
6.6
Shader Model
5.1
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