Advantech RTX A1000 Embedded vs NVIDIA B300

Comparison of Advantech RTX A1000 Embedded with 4 GB GDDR6 and 2,048 cores vs NVIDIA B300 with 144 GB HBM3e and 18,944 cores.

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Performance Rating

NVIDIA B300 outperforms Advantech RTX A1000 Embedded by 1,667.32% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

Advantech RTX A1000 Embedded

4.1

Advantech RTX A1000 Embedded

4.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA B300

71.9

NVIDIA B300

71.9

Contents:

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

Memory

Memory Size

4 GB
🔥 +3,500% 144 ГБ ×2 (288 ГБ)

Memory Type

GDDR6 HBM3e

Memory Bandwidth

224.0 GB/s
🔥 4.10 TB/s ×2 (8.2 TB/s)

Memory Bus Width

128 бит 4,096 бит ×2 (8192 бит)

ML Performance

FP16 (Half Precision)

🔥 +441% 6.664 TFLOPS
1.2318 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

6.664 TFLOPS
🔥 +1,055% 76.99 TFLOPS

FP64 (Double Precision)

0.1041 TFLOPS
🔥 +1,056% 1.2029 TFLOPS

CUDA Cores

2,048
🔥 +825% 18,944 ×2 (37888)

RT Cores

🔥 16
No

Architecture & Compatibility

GPU Architecture

Ampere Blackwell Ultra

SM (Streaming Multiprocessor)

16
🔥 +825% 148

PCIe Version

PCIe 4.0 x8 PCIe 5.0 x16

ML Software Support

CUDA Version

8.6
🔥 10.3

Clocks & Performance

Base Clock

1,192
🔥 +40% 1,665

Boost Clock

1,627
🔥 +25% 2,032

Memory Clock

1,750
🔥 +14% 2,000

Power Consumption

Recommended PSU

No 1800 W

Power Connector

None No

TDP/TGP

🔥 -96% 60 W
1400 W

Rendering

Texture Units (TMU)

64
🔥 +825% 592 ×2 (1184)

ROP

🔥 16
No

L2 Cache

2 MB
🔥 +2,400% 50 MB

Additional

Slots

MXM Module
🔥 SXM Module

Release Date

March 30, 2022 Sept. 11, 2025

Display Outputs

Portable Device Dependent
No outputs

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