AMD Radeon Instinct MI300X vs NVIDIA RTX 5000 Embedded Ada Generation X2

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA RTX 5000 Embedded Ada Generation X2 with 16 GB GDDR6 and 9,728 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms NVIDIA RTX 5000 Embedded Ada Generation X2 by 505.14% 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

NVIDIA RTX 5000 Embedded Ada Generation X2

15.6

NVIDIA RTX 5000 Embedded Ada Generation X2

15.6

Contents:

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

Memory

Memory Size

🔥 +1,100% 192 ГБ
16 ГБ ×2 (32 ГБ)

Memory Type

HBM3 GDDR6

Memory Bandwidth

🔥 10.3 TB/s
576.0 GB/s ×2 (1152 GB/s)

Memory Bus Width

8,192 бит 256 бит ×2 (512 бит)

ML Performance

FP16 (Half Precision)

🔥 +1,900% 653.7 TFLOPS
32.69 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +150% 81.72 TFLOPS
32.69 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS
🔥 +624,839% 510,700.0 TFLOPS

CUDA Cores

🔥 +100% 19,456
9,728 ×2 (19456)

RT Cores

No
🔥 76 ×2 (152)

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Ada Lovelace

SM (Streaming Multiprocessor)

No
🔥 76

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x16

ML Software Support

CUDA Version

No 8.9

Clocks & Performance

Base Clock

🔥 +8% 1,000
930

Boost Clock

🔥 +25% 2,100
1,680

Memory Clock

🔥 +12% 2,525
2,250

Power Consumption

TDP/TGP

750 W
🔥 -80% 150 W

Recommended PSU

1150 W No

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +300% 1,216
304 ×2 (608)

ROP

No
🔥 76 ×2 (152)

L2 Cache

16 MB
🔥 +300% 64 MB

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 March 21, 2023

Display Outputs

No outputs
Portable Device Dependent

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