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GPU Comparison
NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA GRID K120Q
NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA GRID K120Q
VS
NVIDIA Tesla V100 SXM2 16 GB
NVIDIA GRID K120Q
We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 512MB VRAM GRID K120Q 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 5 years and 4 months late
Boost Clock1597MHz
Larger VRAM bandwidth (1133GB/s vs 28.51GB/s)
4928 additional rendering cores
NVIDIA GRID K120Q 's Advantages
Lower TDP (130W vs 250W)
Score
Benchmark
FP32 (float)
Tesla V100 SXM2 16 GB
+4915%
16.35 TFLOPS
GRID K120Q
0.326 TFLOPS
Tesla V100 SXM2 16 GB
VS
GRID K120Q
Graphics Card
Nov 2019
Release Date
Jul 2014
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
1245 MHz
Base Clock
-
1597 MHz
Boost Clock
-
1106 MHz
Memory Clock
891 MHz
Memory
16GB
Memory Size
512MB
HBM2
Memory Type
DDR3
4096bit
Memory Bus
128bit
1133GB/s
Bandwidth
28.51GB/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
204.4 GPixel/s
Pixel Rate
3.400 GPixel/s
511.0 GTexel/s
Texture Rate
13.60 GTexel/s
32.71 TFLOPS
FP16 (half)
-
16.35 TFLOPS
FP32 (float)
326.4 GFLOPS
8.177 TFLOPS
FP64 (double)
13.60 GFLOPS
Graphics Processor
GV100
GPU Name
GK107
-
GPU Variant
-
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
250W
TDP
130W
600 W
Suggested PSU
300 W
No outputs
Outputs
No outputs
None
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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