Topron G4830-SE12-P5 AI reasoning chassis supports 10 double-width turbo GPU car
Big data, cloud computing, AI reasoning, rendering, deep learning, large models and other fields
Topron G4830-SE12-P5 AI reasoning chassis supports 10 double-width turbo GPU cards, 12 3.5-inch HDDS in the front, 8 8056 hot-swappable ball fans as standard in the chassis, 4 8038 ball fans as standard in the rear window, which has good heat dissipation performance and supports 5 standard CRPS power modules. 4+1 power supply mode, stable and reliable. The products are widely used in big data, cloud computing, HPC, AI, rendering, deep learning, edge computing and other scenarios, and have excellent performance in GPU computing performance, storage expansion capability, system stability and other aspects, which can meet the development and application of artificial intelligence and other emerging fields to the greatest extent.
| Component name | Detailed specifications and parameters |
| Dimensions(mm) | 830（L）*437.6（W）*176（H） |
| Main material | Magang (environmentally friendly, fingerprint resistant 1.2mm SGCC) |
| Surface treatment | Front panel components are sprayed with sand grain black, other colors |
| GPU | Supports 10 double-width turbine GPU cards (270MM in length) |
| Hard disk space | Twelve 3.5"/2.5" hard disk slots, two 2.5-inch SATA hard disk slots, and two 2.5-inch NVME hard disk slots are installed on the front |
fan position | 8 built-in 8056 hot swap fans and 4 rear 8038 ball fans (high air pressure/high air volume) |
| Motherboards | Standard 12"*13" and below motherboards with at least two PCIE5.0X16 ports |
| I/O | Seven front PCI/PCIE expansion slots, vertical, and two rear full-height PCI/PCIE expansion slots |
| External interface | External interface 2 * USB 3.0 |
| System control | POWER LED*1，HDD LED*1，RESET SW*1，POWER SW*1，NIC LED*2 |
| Power supply | Support standard CRPS power module, 4+1 power supply mode |
| PCIE channel | Two Broadcom PEX89104 expansion chips support 10 PCIE5.0x16 channels and 2 PCIE5.0x8 channels |
| FrontVGA | Mainboard I/O front |
| Applicable fields | Big data, cloud computing, AI reasoning, rendering, deep learning, large models and other fields |
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