Intel NUC 10 Performance kit BXNUC10I5FNHN specs.
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Processor Intel NUC 10 Performance kit BXNUC10I5FNHN
Processor Manufacturer:
Intel
Processor Type:
Core i5
Processor Generation:
10th Gen
Processor Model:
i5-10210U
Processor Core:
Quad-core (4 Core)
Processor Speed:
1.60 GHz
Maximum Turbo Speed:
4.20 GHz
vPro Technology:
No
Chipset Intel NUC 10 Performance kit BXNUC10I5FNHN
Chipset Manufacturer:
Intel
Memory Intel NUC 10 Performance kit BXNUC10I5FNHN
Maximum Memory Supported:
64 GB
Memory Technology:
DDR4 SDRAM
Number of Total Memory Slots:
2
Intel Optane Memory Ready:
Yes
Display & Graphics Intel NUC 10 Performance kit BXNUC10I5FNHN
Graphics Controller Manufacturer:
Intel
Graphics Memory Technology:
DDR4 SDRAM
Graphics Memory Accessibility:
Shared
Network & Communication Intel NUC 10 Performance kit BXNUC10I5FNHN
LAN Manufacturer:
Intel
LAN Model:
I219-V
Ethernet Technology:
Gigabit Ethernet
Wireless LAN:
Wireless Local Area Network
Wireless Local Area NetworkYes
Wireless LAN Standard:
IEEE 802.11ax
Bluetooth:
Yes
Interfaces/Ports Intel NUC 10 Performance kit BXNUC10I5FNHN
HDMI (Rear):
Yes
Total Number of USB Ports:
7
Number of Onboard USB 2.0 Ports:
2
Number of USB 3.1 Gen 2 Ports (Rear):
2
USB Type-C (Front):
Yes
USB Type-C (Rear):
Yes
USB Type-C Detail:
1Type-C , 1 USB 3.1 Gen2 Type-C
Number of Thunderbolt 3 Ports:
1
Physical Characteristics Intel NUC 10 Performance kit BXNUC10I5FNHN
Form Factor:
Mini PC
Height:
2.01" (51 mm)
Width:
4.61" (117 mm)
Depth:
4.41" (112 mm)
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ASUS has announced an unusual Ascent GX10 mini-PC equipped with NVIDIA GB10 Grace Blackwell ?superchip?. The compact device is designed to work with neural networks and is capable of running language models on 200 billion parameters.
The proprietary ?green? chip is equipped with ten high-performance Cortex-X925 cores and the same number of auxiliary Cortex-A725 cores. The declared computing power of the novelty in AI-operations is 1000 TOPS: it is approximately three times less than that of NVIDIA GeForce RTX 5090. At the same time, due to 128 GB of RAM, the mini-PC can run more ?heavy? AI models and can also work as part of a computing cluster.
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