AMD Radeon Instinct MI300X vs ZOTAC GT 430 PCI

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs ZOTAC GT 430 PCI and 96 cores.

Loading...

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

ZOTAC GT 430 PCI

0.0

ZOTAC GT 430 PCI

0.0

Contents:

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

Memory

Memory Size

🔥 192 ГБ
No

Memory Type

HBM3 DDR3

Memory Bandwidth

🔥 +7% 10.3 TB/s
9.600 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 653.7 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 81.72 TFLOPS
268.8 TFLOPS

FP64 (Double Precision)

🔥 +364,721% 81.72 TFLOPS
0.0224 TFLOPS

CUDA Cores

🔥 +20,167% 19,456
96

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Fermi

SM (Streaming Multiprocessor)

No 2

PCIe Version

PCIe 5.0 x16 PCI

ML Software Support

CUDA Version

No 2.1

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 2,100
No

Memory Clock

🔥 +321% 2,525
600

Power Consumption

TDP/TGP

750 W
🔥 -93% 49 W

Recommended PSU

1150 W
🔥 -83% 200 W

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 +7,500% 1,216
16

ROP

No No

L2 Cache

🔥 16 MB
128 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 Single-slot

Release Date

Dec. 6, 2023 Oct. 11, 2010

Display Outputs

No outputs
1x DVI
1x HDMI 1.3a
1x VGA

Renting is cheaper than buying