Features
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Technical Specifications
| Enclosure |
• 19" rack-mountable 4U chassis • Dimensions : H 6.93” x W 17.24” x D 27.95” (176mm x 438mm x 710mm) |
| CPU |
• Dual 1366-pin LGA Sockets • Supports up to two Intel® Xeon® Processors 5500 series |
| QPI | • up to 6.4 GT/s |
| Memory |
• 18 240-pin DIMM sockets • 6 channels (3 channels per CPU) • Supports DDR3 1333 / 1066 / 800MHz ECC Registered memory • Supports up to 3 dual-rank or 2 quad-rank • Supports up to 144GB max w/ dual rank RDIMMs |
| Chipset |
• 2 Intel® 5520 Tylersburg-36D IOH chips • ICH10R Southbridge • Winbond W83627DHG SIO • Onboard AST2050 BMC integrated VGA controller • 4 PLX PEX8647 PCI-E Gen2 switches |
| I/O Expansion | • 8 PCI-E 2.0 x16 slots (w/ x16 signal from IOHs, via PEX8647 switches) |
| Storage |
• 2x Internal 2.5" SATA drives • RAID 0, 1 support |
| Networking |
• 4 Intel 82574L GbE NICs operating at independent PCI-E x1 interface • 1 RJ-45 10/100 LAN port from on-board KVM-over-IP server management |
| Video |
• ASPEED AST2050 integrated VGA controller • Max 1600x1200@60Hz 16bpp |
| Power Supply | • 2 1200W high-efficiency power supplies • Redundancy option |
| System Cooling | • 3 system cooling fans |
| Front Panel |
I/O • 2 USB 2.0 ports Buttons • Power switch • System Reset button LEDs • Power LED • 2 LAN LEDs • Warning LED |
| Back I/O Ports |
• 4 USB 2.0 ports • 4 RJ-45 connectors • VGA connector |
| Management |
• Automatic fan speed control • Fan & PSU failure, over temperature, and voltage monitoring • Onboard KVM-over-IP chip |
| BIOS |
• AMI 2MB SPI Flash ROM • Supports ACPI 2.0 • Serial Console Redirect • PXE via Ethernet, USB device boot • PnP, DMI 2.0, WfM 2.0 Power Management |

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Colfax CXT8000 Datasheet
Click here to download the CXT8000 datasheet PDF
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NVIDIA CUDA™
NVIDIA CUDA™ technology is the world’s only C language environment that enables programmers and developers to write software to solve complex computational problems in a fraction of the time by tapping into the many-core parallel processing power of GPUs. With millions of CUDA-capable GPUs already deployed, thousands of software programmers are already using the free CUDA software tools to accelerate applications—from video and audio encoding to oil and gas exploration, product design, medical imaging, and scientific research.
Click here to learn more
NVIDIA CUDA Development Tools
NVIDIA’s CUDA development tools provide three key components to help you get started: the latest CUDA driver, a complete CUDA Toolkit, and CUDA SDK code samples.
Click here to download CUDA driver and toolkit