Home GPU Comparison NVIDIA RTX A4500 Embedded vs NVIDIA Tesla K8

NVIDIA RTX A4500 Embedded vs NVIDIA Tesla K8

We compared two Professional market GPUs: 16GB VRAM RTX A4500 Embedded and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A4500 Embedded 's Advantages
Released 7 years and 6 months late
Boost Clock has increased by 50% (1215MHz vs 811MHz)
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (384.0GB/s vs 160.0GB/s)
4352 additional rendering cores
Lower TDP (80W vs 100W)

Score

Benchmark

FP32 (float)
RTX A4500 Embedded +474%
14.31 TFLOPS
Tesla K8
2.491 TFLOPS

Graphics Card

Mar 2022
Release Date
Sep 2014
Quadro Ampere-M
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

510 MHz
Base Clock
693 MHz
1215 MHz
Boost Clock
811 MHz
1500 MHz
Memory Clock
1250 MHz

Memory

16GB
Memory Size
8GB
GDDR6
Memory Type
GDDR5
256bit
Memory Bus
256bit
384.0GB/s
Bandwidth
160.0GB/s

Render Config

-
-
-
46
SM Count
-
5888
Shading Units
1536
184
TMUs
128
96
ROPs
32
184
Tensor Cores
-
46
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
4 MB
L2 Cache
512 KB
-
-
-

Theoretical Performance

116.6 GPixel/s
Pixel Rate
25.95 GPixel/s
223.6 GTexel/s
Texture Rate
103.8 GTexel/s
14.31 TFLOPS
FP16 (half)
-
14.31 TFLOPS
FP32 (float)
2.491 TFLOPS
223.6 GFLOPS
FP64 (double)
103.8 GFLOPS

Board Design

80W
TDP
100W
-
Suggested PSU
300 W
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
1x 6-pin

Graphics Processor

GA104
GPU Name
GK104
-
-
-
Ampere
Architecture
Kepler
Samsung
Foundry
TSMC
8 nm
Process Size
28 nm
17.4 billion
Transistors
3.54 billion
392 mm²
Die Size
294 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
8.6
CUDA
3.0
6.7
Shader Model
5.1
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