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GPU Comparison
NVIDIA GRID K220Q vs NVIDIA Tesla V100 PCIe 16 GB
NVIDIA GRID K220Q vs NVIDIA Tesla V100 PCIe 16 GB
VS
NVIDIA GRID K220Q
NVIDIA Tesla V100 PCIe 16 GB
We compared two Professional market GPUs: 512MB VRAM GRID K220Q and 16GB VRAM Tesla V100 PCIe 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA GRID K220Q 's Advantages
Lower TDP (225W vs 300W)
NVIDIA Tesla V100 PCIe 16 GB 's Advantages
Released 2 years and 11 months late
Boost Clock1380MHz
Larger VRAM bandwidth (897.0GB/s vs 160.0GB/s)
3584 additional rendering cores
Score
Benchmark
FP32 (float)
GRID K220Q
2.289 TFLOPS
Tesla V100 PCIe 16 GB
+517%
14.13 TFLOPS
GRID K220Q
VS
Tesla V100 PCIe 16 GB
Graphics Card
Jul 2014
Release Date
Jun 2017
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
1245 MHz
-
Boost Clock
1380 MHz
1250 MHz
Memory Clock
876 MHz
Memory
512MB
Memory Size
16GB
GDDR5
Memory Type
HBM2
256bit
Memory Bus
4096bit
160.0GB/s
Bandwidth
897.0GB/s
Render Config
-
SM Count
80
-
Compute Units
-
1536
Shading Units
5120
128
TMUs
320
32
ROPs
128
-
Tensor Cores
640
-
RT Cores
-
16 KB (per SMX)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
6 MB
Theoretical Performance
23.84 GPixel/s
Pixel Rate
176.6 GPixel/s
95.36 GTexel/s
Texture Rate
441.6 GTexel/s
-
FP16 (half)
28.26 TFLOPS
2.289 TFLOPS
FP32 (float)
14.13 TFLOPS
95.36 GFLOPS
FP64 (double)
7.066 TFLOPS
Graphics Processor
GK104
GPU Name
GV100
-
GPU Variant
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
3.54 billion
Transistors
21.1 billion
294 mm²
Die Size
815 mm²
Board Design
225W
TDP
300W
550 W
Suggested PSU
700 W
No outputs
Outputs
No outputs
-
Power Connectors
2x 8-pin
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.0
CUDA
7.0
5.1
Shader Model
6.6
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