AMD Radeon Instinct MI300X vs NVIDIA TITAN Xp

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA TITAN Xp with 12 GB GDDR5X and 3,840 cores.

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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 TITAN Xp

NVIDIA TITAN Xp

Contents:

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

Memory

Memory Size

🔥 +1,500% 192 ГБ
12 GB

Memory Type

HBM3 GDDR5X

Memory Bandwidth

🔥 10.3 TB/s
547.6 GB/s

Memory Bus Width

8,192 бит 384 бит

ML Performance

FP16 (Half Precision)

🔥 +344,315% 653.7 TFLOPS
0.1898 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +573% 81.72 TFLOPS
12.15 TFLOPS

FP64 (Double Precision)

🔥 +21,422% 81.72 TFLOPS
0.3797 TFLOPS

CUDA Cores

🔥 +407% 19,456
3,840

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Pascal

SM (Streaming Multiprocessor)

No 30

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No 6.1

Clocks & Performance

Base Clock

🔥 1,000
1,405

Boost Clock

🔥 +33% 2,100
1,582

Memory Clock

🔥 +77% 2,525
1,426

Power Consumption

TDP/TGP

750 W
🔥 -67% 250 W

Recommended PSU

1150 W
🔥 -48% 600 W

Power Connector

None 1x 6-pin + 1x 8-pin

Rendering

Texture Units (TMU)

🔥 +407% 1,216
240

ROP

No No

L2 Cache

🔥 +433% 16 MB
3 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 Dual-slot

Release Date

Dec. 6, 2023 April 6, 2017

Display Outputs

No outputs
1x HDMI 2.0
3x DisplayPort 1.4a

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