Performance Rating
NVIDIA B300 outperforms Intel Arc B580 by 741.29% in the overall GPU ARK performance rating
NVIDIA B300
Expert Comparison
Intel Arc B580 лучше для базовых задач, таких как офисная работа и轻量级翻译： Intel Arc B580在基本任务如办公和轻度图形处理上表现更佳，而NVIDIA B300则更适合高端游戏和专业应用，得益于其更高的显存、带宽和浮点运算能力。
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering AdditionalMemory
Memory Size
+1,100%
144
ГБ ×2 (288 ГБ)
Memory Type
Memory Bandwidth
4.10 TB/s
×2 (8.2 TB/s)
Memory Bus Width
ML Performance
FP16 (Half Precision)
+2,120%
27.34
TFLOPS
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
+463%
76.99
TFLOPS
FP64 (Double Precision)
+41%
1.2029
TFLOPS
CUDA Cores
+640%
18,944
×2 (37888)
RT Cores
20
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
148
PCIe Version
ML Software Support
CUDA Version
CUDA Toolkit (first supported)
CUDA Toolkit status
Clocks & Performance
Base Clock
+60%
2,670
Boost Clock
+31%
2,670
Memory Clock
+19%
2,375
Power Consumption
Recommended PSU
-75%
450 W
Power Connector
TDP/TGP
-86%
190 W
Rendering
Texture Units (TMU)
+270%
592
×2 (1184)
ROP
20
L2 Cache
+178%
50 MB
Additional
Slots
SXM Module
Release Date
Display Outputs
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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.
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