Performance Rating
NVIDIA H200 SXM 141 GB outperforms NVIDIA GeForce RTX 5070 Ti Mobile by 363.73% in the overall GPU ARK performance rating
NVIDIA H200 SXM 141 GB
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks AdditionalMemory
Memory Size
+1,075%
141
ГБ
Memory Type
Memory Bandwidth
4.89 TB/s
Memory Bus Width
ML Performance
FP16 (Half Precision)
+730%
267.6
TFLOPS
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
+107%
66.91
TFLOPS
FP64 (Double Precision)
+1,506,626%
504,000.0
TFLOPS
CUDA Cores
+164%
16,896
RT Cores
50
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
+164%
132
PCIe Version
ML Software Support
CUDA Version
10.1
Clocks & Performance
Base Clock
+49%
2,235
Boost Clock
+27%
2,520
Memory Clock
+26%
2,000
Power Consumption
TDP/TGP
-80%
140 W
Recommended PSU
Power Connector
Rendering
Texture Units (TMU)
+164%
528
ROP
50
L2 Cache
+25%
50 MB
Benchmarks
Hashcat: MD5
Hashcat: SHA-256
Hashcat: SHA-512
Blender: Blend File: Barbershop - Compute: NVIDIA CUDA
Blender: Blend File: Barbershop - Compute: NVIDIA OptiX
Blender: Blend File: Fishy Cat - Compute: NVIDIA CUDA
Blender: Blend File: Fishy Cat - Compute: NVIDIA OptiX
Blender: Blend File: Junkshop - Compute: NVIDIA CUDA
Blender: Blend File: Junkshop - Compute: NVIDIA OptiX
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
