Home GPU Comparison NVIDIA Tesla K20c vs NVIDIA RTX A1000 Embedded

NVIDIA Tesla K20c vs NVIDIA RTX A1000 Embedded

We compared two Professional market GPUs: 5GB VRAM Tesla K20c and 4GB VRAM RTX A1000 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20c 's Advantages
More VRAM (5GB vs 4GB)
448 additional rendering cores
NVIDIA RTX A1000 Embedded 's Advantages
Released 9 years and 2 months late
Boost Clock1627MHz
Larger VRAM bandwidth (224.0GB/s vs 208.0GB/s)
Lower TDP (60W vs 225W)

Score

Benchmark

FP32 (float)
Tesla K20c
3.524 TFLOPS
RTX A1000 Embedded +89%
6.664 TFLOPS

Graphics Card

Nov 2012
Release Date
Jan 2022
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

-
Base Clock
1192 MHz
-
Boost Clock
1627 MHz
1300 MHz
Memory Clock
1750 MHz

Memory

5GB
Memory Size
4GB
GDDR5
Memory Type
GDDR6
320bit
Memory Bus
128bit
208.0GB/s
Bandwidth
224.0GB/s

Render Config

-
-
-
-
SM Count
16
2496
Shading Units
2048
208
TMUs
64
40
ROPs
48
-
Tensor Cores
64
-
RT Cores
16
16 KB (per SMX)
L1 Cache
128 KB (per SM)
1280 KB
L2 Cache
2 MB
-
-
-

Theoretical Performance

36.71 GPixel/s
Pixel Rate
78.10 GPixel/s
146.8 GTexel/s
Texture Rate
104.1 GTexel/s
-
FP16 (half)
6.664 TFLOPS
3.524 TFLOPS
FP32 (float)
6.664 TFLOPS
1175 GFLOPS
FP64 (double)
104.1 GFLOPS

Board Design

225W
TDP
60W
550 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
None

Graphics Processor

GK110
GPU Name
GA107S
GK110-885-KA-A1
GPU Variant
-
Kepler
Architecture
Ampere
TSMC
Foundry
Samsung
28 nm
Process Size
8 nm
7.08 billion
Transistors
Unknown
561 mm²
Die Size
Unknown

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
6.6
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