Velocity R429I-3NSS
Item No. 00011983
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4U ASRock Dual socket GPU server for 2 x Intel Xeon Ice Lake Processors, LGA4189, supports machine learning and rendering with ten PCI-E 4.0 x16 slots for GPGPU up to 350W. Features onboard dual 10GbE RJ45, plus dedicated IPMI LAN for remote management, optimizing performance and connectivity for
Price $7373.8
excl. tax
Description
4U ASRock Dual socket GPU server for 2 x Intel Xeon Ice Lake Processors, LGA4189, supports machine learning and rendering with ten PCI-E 4.0 x16 slots for GPGPU up to 350W. Features onboard dual 10GbE RJ45, plus dedicated IPMI LAN for remote management, optimizing performance and connectivity for GPU-intensive applications.
Specifications
- Manufacture
- ASRock
- CPU Manufacture
- Intel
- CPU Family
- Intel Xeon Scalable Gen 3
- CPU Socket Quantity
- 2
- CPU Socket Type
- LGA 4189
- Number of Nodes
- 1
- Total Drive Bays
- 12
- Chassis Form Factor
- 4U
- Power Supply Redundancy
- Redundant
- Chassis Full Height PCI-e Slots
- 10
- GPU Quantity
- 10
- Search Description
- 4U10G-ICX2/2T
Velocity R429I-3NSS
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Item No. 00011983
4U ASRock Dual socket GPU server for 2 x Intel Xeon Ice Lake Processors, LGA4189, supports machine learning and rendering with ten PCI-E 4.0 x16 slots for GPGPU up to 350W. Features onboard dual 10GbE RJ45, plus dedicated IPMI LAN for remote management, optimizing performance and connectivity for
Price $7373.8
excl. tax
Specifications
- Manufacture
- ASRock
- CPU Manufacture
- Intel
- CPU Family
- Intel Xeon Scalable Gen 3
- CPU Socket Quantity
- 2
- CPU Socket Type
- LGA 4189
- Number of Nodes
- 1
- Total Drive Bays
- 12
- Chassis Form Factor
- 4U
- Power Supply Redundancy
- Redundant
- Chassis Full Height PCI-e Slots
- 10
- GPU Quantity
- 10
- Search Description
- 4U10G-ICX2/2T
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Description
4U ASRock Dual socket GPU server for 2 x Intel Xeon Ice Lake Processors, LGA4189, supports machine learning and rendering with ten PCI-E 4.0 x16 slots for GPGPU up to 350W. Features onboard dual 10GbE RJ45, plus dedicated IPMI LAN for remote management, optimizing performance and connectivity for GPU-intensive applications.