Performance Rating
MAXSUN RTX 4080 Turbo T0 outperforms NVIDIA RTX PRO 4000 Blackwell SFF by 52.52% in the overall GPU ARK performance rating
NVIDIA RTX PRO 4000 Blackwell SFF
The MAXSUN RTX 4080 Turbo T0 dramatically outperforms the NVIDIA RTX PRO 4000 Blackwell SFF, leading by 53% in the overall GPI performance index. For machine learning, the MAXSUN RTX 4080 Turbo T0 has the edge in FP16 performance (+90%). For gaming, the MAXSUN RTX 4080 Turbo T0 delivers 90% more FP32 throughput. In performance per watt, the NVIDIA RTX PRO 4000 Blackwell SFF is 141% more efficient at 70W TDP vs 320W for the MAXSUN RTX 4080 Turbo T0.
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering AdditionalMemory
Memory Size
+50%
24
ГБ
Memory Type
Memory Bandwidth
Memory Bus Width
ML Performance
FP16 (Half Precision)
+90%
48.74
TFLOPS
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
+90%
48.74
TFLOPS
FP64 (Double Precision)
+90%
0.7615
TFLOPS
CUDA Cores
+9%
9,728
RT Cores
+9%
76
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
+9%
76
PCIe Version
ML Software Support
CUDA Version
12.0
CUDA Toolkit (first supported)
CUDA Toolkit status
Clocks & Performance
Base Clock
+282%
2,205
Boost Clock
+75%
2,505
Memory Clock
+24%
1,400
Power Consumption
Recommended PSU
-64%
250 W
Power Connector
TDP/TGP
-78%
70 W
Rendering
Texture Units (TMU)
+9%
304
ROP
+9%
76
L2 Cache
+33%
64 MB
Additional
Slots
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
