AMD Radeon Instinct MI325X vs NVIDIA A16 PCIe

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs NVIDIA A16 PCIe with 16 GB GDDR6 and 1,280 cores.

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Performance Rating

AMD Radeon Instinct MI325X outperforms NVIDIA A16 PCIe by 2,438.07% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI325X

100.0

AMD Radeon Instinct MI325X

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

NVIDIA A16 PCIe

3.9

NVIDIA A16 PCIe

3.9

Contents:

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

Memory

Memory Size

🔥 +1,700% 288 ГБ
16 ГБ ×4 (64 ГБ)

Memory Type

HBM3e GDDR6

Memory Bandwidth

🔥 10.3 TB/s
200.1 GB/s ×4 (800.4 GB/s)

Memory Bus Width

8,192 бит 128 бит ×4 (512 бит)

ML Performance

FP16 (Half Precision)

🔥 +14,449% 653.7 TFLOPS
4.493 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +1,719% 81.72 TFLOPS
4.493 TFLOPS

FP64 (Double Precision)

🔥 +58,105% 81.72 TFLOPS
0.1404 TFLOPS

CUDA Cores

🔥 +1,420% 19,456
1,280 ×4 (5120)

RT Cores

No
🔥 10 ×4 (40)

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Ampere

SM (Streaming Multiprocessor)

No
🔥 10

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x8

ML Software Support

CUDA Version

No 8.6

Clocks & Performance

Base Clock

1,000
🔥 +31% 1,312

Boost Clock

🔥 +20% 2,100
1,755

Memory Clock

🔥 +62% 2,525
1,563

Power Consumption

TDP/TGP

1000 W
🔥 -75% 250 W

Recommended PSU

1400 W
🔥 -57% 600 W

Power Connector

None 8-pin EPS

Rendering

Texture Units (TMU)

🔥 +2,940% 1,216
40 ×4 (160)

ROP

No
🔥 10 ×4 (40)

L2 Cache

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 Dual-slot

Release Date

Oct. 15, 2024 April 12, 2021

Display Outputs

No outputs
No outputs

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