AMD Radeon Instinct MI325X vs AMD Radeon RX Vega 10 Mobile

Comparison AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs AMD Radeon RX Vega 10 Mobile and 640 cores.

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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

AMD Radeon RX Vega 10 Mobile

AMD Radeon RX Vega 10 Mobile

Expert Comparison

AMD Radeon Instinct MI325X значительно превосходит AMD Radeon RX Vega 10 Mobile по многим параметрам. MI325X имеет гораздо больше ядер и памяти, большую пропускную способность и мощь вычислений, а также более высокую частоту работы. Он предназначен для мощных вычислений и AI задач, тогда как RX Vega 10 Mobile лучше подходит для мобильного использования с более ограниченными ресурсами.

Contents:

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

Memory

Memory Size

🔥 288 ГБ
No

Memory Type

HBM3e System Shared

Memory Bandwidth

🔥 10.3 TB/s
System Dependent

Memory Bus Width

8,192 бит No

ML Performance

FP16 (Half Precision)

🔥 +19,525% 653.7 TFLOPS
3.331 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +4,808% 81.72 TFLOPS
1.665 TFLOPS

FP64 (Double Precision)

🔥 +78,401% 81.72 TFLOPS
0.1041 TFLOPS

CUDA Cores

🔥 +2,940% 19,456
640

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 GCN 5.0

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 IGP

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 +233% 1,000
300

Boost Clock

🔥 +61% 2,100
1,301

Memory Clock

🔥 2,525
No

Power Consumption

Recommended PSU

1400 W No

Power Connector

None None

TDP/TGP

1000 W
🔥 -99% 10 W

Rendering

Texture Units (TMU)

🔥 +2,940% 1,216
40

ROP

No No

L2 Cache

🔥 16 MB
No

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 IGP

Release Date

Oct. 12, 2024 Oct. 26, 2017

Display Outputs

No outputs
Portable Device Dependent

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