AMD Radeon Instinct MI300X vs AMD Radeon Pro Vega 20

Comparison AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs AMD Radeon Pro Vega 20 with 4 GB HBM2 and 1,280 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms AMD Radeon Pro Vega 20 by 2,768.9% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI300X

94.1

AMD Radeon Instinct MI300X

94.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

AMD Radeon Pro Vega 20

3.3

AMD Radeon Pro Vega 20

3.3

Expert Comparison

AMD Radeon Instinct MI300X значительно превосходит Radeon Pro Vega 20 по всем параметрам. MI300X имеет гораздо больше ядер, большую память и пропускную способность, а также более высокую частоту работы и TDP. Он идеально подходит для вычислительной графики и AI-задач, тогда как Vega 20 больше ориентирован на профессиональные задачи и графику, выпущенный еще в 2018 году.

Contents:

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

Memory

Memory Size

🔥 +4,700% 192 ГБ
4 GB

Memory Type

HBM3 HBM2

Memory Bandwidth

🔥 10.3 TB/s
189.4 GB/s

Memory Bus Width

8,192 бит 1,024 бит

ML Performance

FP16 (Half Precision)

🔥 +9,851% 653.7 TFLOPS
6.569 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +2,388% 81.72 TFLOPS
3.284 TFLOPS

FP64 (Double Precision)

🔥 +39,705% 81.72 TFLOPS
0.2053 TFLOPS

CUDA Cores

🔥 +1,420% 19,456
1,280

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 PCIe 3.0 x16

ML Software Support

CUDA Version

No No

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 +23% 1,000
815

Boost Clock

🔥 +64% 2,100
1,283

Memory Clock

🔥 +241% 2,525
740

Power Consumption

Recommended PSU

1150 W No

Power Connector

None No

TDP/TGP

750 W
🔥 -87% 100 W

Rendering

Texture Units (TMU)

🔥 +1,420% 1,216
80

ROP

No No

L2 Cache

🔥 16 MB
1024 KB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

1 983 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

1 740 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 057 tokens/s

MLPerf, llama3.1-405b (UNSET)

30.4 tokens/s

MLPerf, llama3.1-405b (fp16)

34.8 tokens/s

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

232.9 tokens/s

MLPerf, mixtral-8x7b (fp8)

5 975 tokens/s

Additional

Slots

OAM Module IGP

Release Date

Dec. 6, 2023 Nov. 14, 2018

Display Outputs

No outputs
Portable Device Dependent

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