Home GPU Comparison NVIDIA RTX A500 Embedded vs NVIDIA Tesla K40st

NVIDIA RTX A500 Embedded vs NVIDIA Tesla K40st

We compared two Professional market GPUs: 4GB VRAM RTX A500 Embedded and 12GB VRAM Tesla K40st to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A500 Embedded 's Advantages
Released 8 years and 4 months late
Boost Clock1335MHz
Lower TDP (20W vs 245W)
NVIDIA Tesla K40st 's Advantages
More VRAM (12GB vs 4GB)
Larger VRAM bandwidth (288.4GB/s vs 96.00GB/s)
832 additional rendering cores

Score

Benchmark

FP32 (float)
RTX A500 Embedded +65%
5.468 TFLOPS
Tesla K40st
3.312 TFLOPS

Graphics Card

Mar 2022
Release Date
Nov 2013
Quadro Ampere-M
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 3.0 x16

Clock Speeds

435 MHz
Base Clock
-
1335 MHz
Boost Clock
-
1500 MHz
Memory Clock
1502 MHz

Memory

4GB
Memory Size
12GB
GDDR6
Memory Type
GDDR5
64bit
Memory Bus
384bit
96.00GB/s
Bandwidth
288.4GB/s

Render Config

-
-
-
16
SM Count
-
2048
Shading Units
2880
64
TMUs
240
32
ROPs
48
64
Tensor Cores
-
16
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
2 MB
L2 Cache
1536 KB
-
-
-

Theoretical Performance

42.72 GPixel/s
Pixel Rate
34.50 GPixel/s
85.44 GTexel/s
Texture Rate
138.0 GTexel/s
5.468 TFLOPS
FP16 (half)
-
5.468 TFLOPS
FP32 (float)
3.312 TFLOPS
85.44 GFLOPS
FP64 (double)
1104 GFLOPS

Board Design

20W
TDP
245W
-
Suggested PSU
550 W
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GA107S
GPU Name
GK110B
-
-
-
Ampere
Architecture
Kepler
Samsung
Foundry
TSMC
8 nm
Process Size
28 nm
8.7 billion
Transistors
7.08 billion
200 mm²
Die Size
561 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (11_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
8.6
CUDA
3.5
6.7
Shader Model
5.1
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