Advantech RTX A2000 Embedded vs NVIDIA A100 PCIe 80 GB

Comparison Advantech RTX A2000 Embedded with 4 GB GDDR6 and 2,560 cores vs NVIDIA A100 PCIe 80 GB with 80 GB HBM2e and 6,912 cores.

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Performance Rating

NVIDIA A100 PCIe 80 GB outperforms Advantech RTX A2000 Embedded by 477.25% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

Advantech RTX A2000 Embedded

4.4

Advantech RTX A2000 Embedded

4.4
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA A100 PCIe 80 GB

25.6

NVIDIA A100 PCIe 80 GB

25.6

Expert Comparison

Advantech RTX A2000 Embedded имеет более низкие потребление энергии и стоимость, но при этом значительно уступает NVIDIA A100 PCIe 80 GB по количеству ядер, объему памяти, пропускной способности и общему индексу производительности. A100 больше подходит для вычислений высокой сложности и больших датасетов, тогда как A2000Embedded лучше подходит для менее требовательных задач или систем с ограниченными ресурсами.

Contents:

Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Additional

Memory

Memory Size

4 GB
🔥 +1,900% 80 ГБ

Memory Type

GDDR6 HBM2e

Memory Bandwidth

192.0 GB/s
🔥 1.94 TB/s

Memory Bus Width

128 бит 5,120 бит

ML Performance

FP16 (Half Precision)

8.253 TFLOPS
🔥 +845% 77.97 TFLOPS

BF16 (Brain Float)

No
🔥 311.84 TFLOPS

TF32 (TensorFloat)

No
🔥 155.92

Compute Power

FP32 (Single Precision)

8.253 TFLOPS
🔥 +136% 19.49 TFLOPS

FP64 (Double Precision)

0.129 TFLOPS
🔥 +7,455% 9.746 TFLOPS

CUDA Cores

2,560
🔥 +170% 6,912

RT Cores

🔥 20
No

Architecture & Compatibility

GPU Architecture

Ampere Ampere

SM (Streaming Multiprocessor)

20
🔥 +440% 108

PCIe Version

PCIe 4.0 x8 PCIe 4.0 x16

ML Software Support

CUDA Version

🔥 8.6
8.0

CUDA Toolkit (first supported)

v11 v11

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 +5% 1,117
1,065

Boost Clock

🔥 +14% 1,612
1,410

Memory Clock

1,500
🔥 +1% 1,512

Power Consumption

Recommended PSU

No 700 W

Power Connector

None 8-pin EPS

TDP/TGP

🔥 -80% 60 W
300 W

Rendering

Texture Units (TMU)

80
🔥 +440% 432

ROP

🔥 20
No

L2 Cache

2 MB
🔥 +3,900% 80 MB

Additional

Slots

MXM Module Dual-slot

Release Date

March 30, 2022 June 28, 2021

Display Outputs

Portable Device Dependent
No outputs

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