Performance Rating
NVIDIA H200 SXM 141 GB outperforms AMD FirePro M4000 by 3,123.92% in the overall GPU ARK performance rating
NVIDIA H200 SXM 141 GB
Expert Comparison
AMD FirePro M4000 подходит для задач средней сложности, таких как 2D/3D графика и CAD. У него 512 ядер и 1024 ГБ GDDR5 памяти. В то время как NVIDIA H200 SXM с архитектурой Hopper и 16896 ядрами, 141 ГБ HBM3e памяти и пропускной способностью 4.89 ТБ/с, предназначен для высокопроизводительных вычислений и машинного обучения. Разница в TDP также существенна: 33 Вт у FirePro M4000 против 700 Вт у H200 SXM.
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks AdditionalMemory
Memory Size
141
ГБ
Memory Type
Memory Bandwidth
4.89 TB/s
Memory Bus Width
ML Performance
FP16 (Half Precision)
267.6
TFLOPS
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
+9,580%
66.91
TFLOPS
FP64 (Double Precision)
+77,331%
33.45
TFLOPS
CUDA Cores
+3,200%
16,896
RT Cores
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
132
PCIe Version
ML Software Support
CUDA Version
CUDA Toolkit (first supported)
CUDA Toolkit status
Clocks & Performance
Base Clock
1,500
Boost Clock
1,980
Memory Clock
+59%
1,593
Power Consumption
Recommended PSU
Power Connector
TDP/TGP
-95%
33 W
Rendering
Texture Units (TMU)
+1,550%
528
ROP
L2 Cache
50 MB
Benchmarks
MLPerf, llama2-70b-99.9 (UNSET)
MLPerf, llama2-70b-99.9 (fp16)
MLPerf, llama2-70b-99.9 (fp8)
MLPerf, llama3.1-405b (fp16)
MLPerf, llama3.1-405b (fp8)
MLPerf, llama3.1-8b (fp8)
MLPerf, deepseek-r1 (fp8)
MLPerf, mixtral-8x7b (fp8)
Additional
Slots
SXM Module
Release Date
Display Outputs
Rent on Intelion Cloud
Available for rent on Intelion Cloud
