Home GPU Comparison NVIDIA Tesla K40st vs NVIDIA RTX A500 Embedded

NVIDIA Tesla K40st vs NVIDIA RTX A500 Embedded

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

Score

Benchmark

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

Graphics Card

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

Clock Speeds

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

Memory

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

Render Config

-
-
-
-
SM Count
16
2880
Shading Units
2048
240
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

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

Board Design

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

Graphics Processor

GK110B
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_1)
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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