G-4808-P5E12 AI inference chassis supports 8 double-width turbo GPU cards, 12 2.5/3.5-inch hard disk slots on the front, expandable 10Gb/25Gb/40Gb/100Gb network cards, 3 12038 hot-swappable ball fans
G-4808-P5E12 AI inference chassis supports 8 double-width turbo GPU cards, 12 2.5/3.5-inch hard disk slots on the front, expandable 10Gb/25Gb/40Gb/100Gb network cards, 3 12038 hot-swappable ball fans as standard, 4 8038 ball fans as standard on the rear window, with good heat dissipation performance, supports 5 standard CRPS power modules, 4+1 power supply mode, stable and reliable. The product is widely used in big data, cloud computing, HPC, AI, rendering, deep learning, edge computing and other scenarios, with outstanding performance in GPU computing performance, storage expansion capabilities, system stability and other aspects, and can meet the development and application of emerging fields such as artificial intelligence to the greatest extent.
| Component name | Detailed specifications and parameters |
| Dimensions(mm) | 800 (L) * 437.6 (W) * 176 (H) |
| Main material | Magang (environmentally friendly, fingerprint resistant 1.2mm SGCC) |
| Surface treatment | The front panel assembly is sprayed with sand grain black, and the rest is natural color |
| GPU | Supports 8 double-wide turbo GPU cards (length 270MM) |
| Hard disk space | Front 12 2.5/3.5" hard disk slots |
Fan position | Standard built-in 3 12038 hot-swappable fan positions and 4 rear 8038 ball fans (high air pressure/high air volume) |
| Motherboards | Supports 16.53" x 13.79" motherboards, the motherboard needs to have at least 16 PCIE5.0 X8 MCIO interfaces |
| I/O | 2 rear full-height PCI/PCIE expansion slots, expandable 10Gb/25Gb/40Gb/100Gb network cards |
| External interface | External interface 4 * USB 3.0 |
| System control | POWER LED*1，HDD LED*1，RESET SW*1，POWER SW*1，NIC LED*2 |
| Power supply | supports standard CRPS power module, 4+1 power supply mode |
| PCIE channel | 8*PCIE5.0 X16 |
| Applicable fields | AI reasoning, rendering, HPC, deep learning and other fields |
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