AMD Radeon Instinct MI325X vs PC Partner RTX A1000 Embedded

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs PC Partner RTX A1000 Embedded with 4 GB GDDR6 and 2,048 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

100.0
MI250 MI250
Instinct MI300X Instinct MI300X
RX 7900 XTX RX 7900 XTX

PC Partner RTX A1000 Embedded

PC Partner RTX A1000 Embedded

Contents:

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

Memory

Memory Size

🔥 +7,100% 288 ГБ
4 GB

Memory Type

HBM3e GDDR6

Memory Bandwidth

🔥 10.3 TB/s
224.0 GB/s

Memory Bus Width

8,192 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 +13,901% 653.7 TFLOPS
4.669 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,650% 81.72 TFLOPS
4.669 TFLOPS

FP64 (Double Precision)

🔥 +111,845% 81.72 TFLOPS
0.073 TFLOPS

CUDA Cores

🔥 +850% 19,456
2,048

RT Cores

No 16

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Ampere

SM (Streaming Multiprocessor)

No 16

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x8

ML Software Support

CUDA Version

No 8.6

Clocks & Performance

Base Clock

🔥 +59% 1,000
630

Boost Clock

🔥 +84% 2,100
1,140

Memory Clock

🔥 +44% 2,525
1,750

Power Consumption

TDP/TGP

1000 W
🔥 -96% 35 W

Recommended PSU

1400 W No

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +1,800% 1,216
64

ROP

No 16

L2 Cache

🔥 +700% 16 MB
2 MB

Benchmarks

MLPerf, llama2-70b-99.9 (Dummy)

3 596 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 946 tokens/s

llama.cpp, llama-2-7b-Q4_0

22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s

Additional

Slots

OAM Module MXM Module

Release Date

Oct. 15, 2024 March 30, 2022

Display Outputs

No outputs
Portable Device Dependent

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