NVIDIA Tesla K80 vs NVIDIA RTX A500 Embedded
We compared two Professional market GPUs: 12GB VRAM Tesla K80 and 4GB VRAM RTX A500 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla K80 's Advantages
More VRAM (12GB vs 4GB)
Larger VRAM bandwidth (240.6GB/s vs 96.00GB/s)
448 additional rendering cores
NVIDIA RTX A500 Embedded 's Advantages
Released 7 years and 4 months late
Boost Clock has increased by 62% (1335MHz vs 824MHz)
Lower TDP (20W vs 300W)
Score
Benchmark
FP32 (float)
Tesla K80
4.113 TFLOPS
RTX A500 Embedded
+32%
5.468 TFLOPS
Graphics Card
Nov 2014
Release Date
Mar 2022
Tesla
Generation
Quadro Ampere-M
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x8
Clock Speeds
562 MHz
Base Clock
435 MHz
824 MHz
Boost Clock
1335 MHz
1253 MHz
Memory Clock
1500 MHz
Memory
12GB
Memory Size
4GB
GDDR5
Memory Type
GDDR6
384bit
Memory Bus
64bit
240.6GB/s
Bandwidth
96.00GB/s
Render Config
-
-
-
-
SM Count
16
2496
Shading Units
2048
208
TMUs
64
48
ROPs
32
-
Tensor Cores
64
-
RT Cores
16
16 KB (per SMX)
L1 Cache
128 KB (per SM)
1536 KB
L2 Cache
2 MB
-
-
-
Theoretical Performance
42.85 GPixel/s
Pixel Rate
42.72 GPixel/s
171.4 GTexel/s
Texture Rate
85.44 GTexel/s
-
FP16 (half)
5.468 TFLOPS
4.113 TFLOPS
FP32 (float)
5.468 TFLOPS
1371 GFLOPS
FP64 (double)
85.44 GFLOPS
Board Design
300W
TDP
20W
700 W
Suggested PSU
-
No outputs
Outputs
Portable Device Dependent
1x 8-pin
Power Connectors
None
Graphics Processor
GK210
GPU Name
GA107S
GK210-885-A1
GPU Variant
-
Kepler 2.0
Architecture
Ampere
TSMC
Foundry
Samsung
28 nm
Process Size
8 nm
7.1 billion
Transistors
8.7 billion
561 mm²
Die Size
200 mm²
Graphics Features
12 (11_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.7
CUDA
8.6
5.1
Shader Model
6.7
