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Comparison
Tesla K20s vs RTX A500 Embedded
Tesla K20s vs RTX A500 Embedded
VS
NVIDIA Tesla K20s
NVIDIA RTX A500 Embedded
We compared two Professional market GPUs: 5GB VRAM Tesla K20s and 4GB VRAM RTX A500 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
Tesla K20s 's Advantages
More VRAM (5GB vs 4GB)
Larger VRAM bandwidth (208.0GB/s vs 96.00GB/s)
448 additional rendering cores
RTX A500 Embedded 's Advantages
Released 9 years and 1 months late
Boost Clock1335MHz
Lower TDP (20W vs 225W)
Score
Benchmark
FP32 (float)
Tesla K20s
2870
RTX A500 Embedded
+90%
5468
NVIDIA Tesla K20s
VS
NVIDIA RTX A500 Embedded
Graphics Card
Feb 2013
Release Date
Mar 2022
Tesla
Generation
Quadro Ampere-M
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 4.0 x8
Clock Speeds
-
Base Clock
435 MHz
-
Boost Clock
1335 MHz
1300 MHz
Memory Clock
1500 MHz
Memory
5GB
Memory Size
4GB
GDDR5
Memory Type
GDDR6
320bit
Memory Bus
64bit
208.0GB/s
Bandwidth
96.00GB/s
Render Config
-
SM Count
16
2496
Shading Units
2048
208
TMUs
64
40
ROPs
32
-
Tensor Cores
64
-
RT Cores
16
16 KB (per SMX)
L1 Cache
128 KB (per SM)
1280 KB
L2 Cache
2 MB
Theoretical Performance
29.90 GPixel/s
Pixel Rate
42.72 GPixel/s
119.6 GTexel/s
Texture Rate
85.44 GTexel/s
-
FP16 (half)
5.468 TFLOPS
2.870 TFLOPS
FP32 (float)
5.468 TFLOPS
956.8 GFLOPS
FP64 (double)
85.44 GFLOPS
Board Design
225W
TDP
20W
550 W
Suggested PSU
-
No outputs
Outputs
Portable Device Dependent
-
Power Connectors
None
Graphics Processor
GK110
GPU Name
GA107S
Kepler
Architecture
Ampere
TSMC
Foundry
Samsung
28 nm
Process Size
8 nm
7.08 billion
Transistors
8.7 billion
561 mm²
Die Size
200 mm²
Graphics Features
12 (11_0)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
8.6
5.1
Shader Model
6.7
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