Performance Rating
NVIDIA H200 SXM 141 GB outperforms Intel Iris Xe MAX Graphics by 3,465.08% in the overall GPU ARK performance rating
NVIDIA H200 SXM 141 GB
Expert Comparison
Intel Iris Xe MAX Graphics 768 ядер и 4 ГБ памяти делают эту видеокарту подходящей для базовых задач, таких как обработка изображений, веб-браузинг и轻量级应用。相比之下，NVIDIA H200 SXM配备16896个核心和141 GB HBM3e显存，更适合复杂的计算任务、深度学习和专业图形处理。NVIDIA H200的性能指数远高于Intel Iris Xe MAX Graphics，且功耗更高，适用于高性能计算环境。
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks AdditionalMemory
Memory Size
+3,425%
141
ГБ
Memory Type
Memory Bandwidth
4.89 TB/s
Memory Bus Width
ML Performance
FP16 (Half Precision)
+5,179%
267.6
TFLOPS
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
+2,540%
66.91
TFLOPS
FP64 (Double Precision)
+5,179%
33.45
TFLOPS
CUDA Cores
+2,100%
16,896
RT Cores
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
132
PCIe Version
ML Software Support
CUDA Version
CUDA Toolkit status
Clocks & Performance
Base Clock
+400%
1,500
Boost Clock
+20%
1,980
Memory Clock
+34%
2,133
Power Consumption
Recommended PSU
-82%
200 W
Power Connector
TDP/TGP
-96%
25 W
Rendering
Texture Units (TMU)
+1,000%
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
Renting is cheaper than buying
H100 80Gb SXM (80GB)
NVIDIA
Флагманская GPU на архитектуре Hopper с 80 ГБ памяти HBM3 в форм-факторе SXM. Создана для обучения и инференса больших языковых моделей, HPC задач. Поддерживает FP64, FP32, TF32, FP16, BF16, FP8 и INT8 вычисления с Tensor Cores 4-го поколения.
from 299.11 RUB/hour
