Home GPU Comparison NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro K600

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro K600

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 1024MB VRAM Quadro K600 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 6 years and 8 months late
Boost Clock1597MHz
More VRAM (16GB vs 1024GB)
Larger VRAM bandwidth (1133GB/s vs 28.51GB/s)
4928 additional rendering cores
NVIDIA Quadro K600 's Advantages
Lower TDP (41W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 16 GB +4766%
16.35 TFLOPS
Quadro K600
0.336 TFLOPS
VS

Graphics Card

Nov 2019
Release Date
Mar 2013
Tesla
Generation
Quadro
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

1245 MHz
Base Clock
-
1597 MHz
Boost Clock
-
1106 MHz
Memory Clock
891 MHz

Memory

16GB
Memory Size
1024MB
HBM2
Memory Type
DDR3
4096bit
Memory Bus
128bit
1133GB/s
Bandwidth
28.51GB/s

Render Config

-
-
-
80
SM Count
-
5120
Shading Units
192
320
TMUs
16
128
ROPs
16
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
6 MB
L2 Cache
256 KB
-
-
-

Theoretical Performance

204.4 GPixel/s
Pixel Rate
3.504 GPixel/s
511.0 GTexel/s
Texture Rate
14.02 GTexel/s
32.71 TFLOPS
FP16 (half)
-
16.35 TFLOPS
FP32 (float)
336.4 GFLOPS
8.177 TFLOPS
FP64 (double)
14.02 GFLOPS

Board Design

250W
TDP
41W
600 W
Suggested PSU
200 W
No outputs
Outputs
1x DVI 1x DisplayPort 1.2
None
Power Connectors
None

Graphics Processor

GV100
GPU Name
GK107
-
GPU Variant
GK107-301-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

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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