Supermicro
Supermicro SYS-421GE-TNRT-02-G1 4U rack server 2×Xeon 8562Y+ 1TB DDR5 8×L40S
4U rack server with dual Xeon 8562Y+ CPUs, eight NVIDIA L40S GPUs, 1TB DDR5-5600 memory, and 2 x 1.92TB U.2 plus 1 x 960GB M.2 NVMe storage
- WorkloadGeneral Purpose Server
- TypeRack
- Rack Height4U
- LEDsHard drive activity LED Network activity LEDs Power status L
- Hot-swap Fans8 heavy duty fans with optimal fan speed control
- CPU TypeIntel Xeon
- Dual Xeon 8562Y+ with 32 cores per CPU for heavy compute
- Eight NVIDIA L40S GPUs accelerate AI training and rendering
- 1TB DDR5-5600 ECC memory with capacity up to 8TB
- 2× 1.92TB U.2 NVMe plus 960GB M.2 NVMe for fast storage
- Three dual 100GbE QSFP56 ports and four 2700W Titanium power supplies
Dual Xeon 8562Y+ AI server
This 4U rack system pairs two 32-core Xeon 8562Y+ processors at 2.80 GHz with 1 TB of DDR5-5600 memory. It targets organisations running large-scale AI training, inference or high-performance computing workloads that need dense GPU acceleration in a single chassis.
Upgrade from smaller GPU clusters
The server installs eight NVIDIA L40S PCIe cards alongside dual 100 GbE QSFP56 networking and 2 x 1.92 TB U.2 plus 1 x 960 GB M.2 NVMe storage. The jump makes sense when a workload saturates fewer GPUs or when memory capacity limits model size on existing nodes.
Rack integration and service notes
Four 2700 W Titanium power supplies and eight hot-swap fans support redundant cooling and power. Front-access 2.5-inch NVMe and SATA bays plus two M.2 slots allow drive changes without removing the chassis, though the 4U height and GPU weight demand a sturdy rack and careful cable routing.
주요 특징
- Dual Xeon 8562Y+ with 32 cores per CPU for heavy compute
- Eight NVIDIA L40S GPUs accelerate AI training and rendering
- 1TB DDR5-5600 ECC memory with capacity up to 8TB
- 2× 1.92TB U.2 NVMe plus 960GB M.2 NVMe for fast storage
- Three dual 100GbE QSFP56 ports and four 2700W Titanium power supplies
사양
| Brand | SUPERMICRO |
|---|---|
| Model | SYS-421GE-TNRT-02-G1 |
| Workload | General Purpose Server |
| Type | Rack |
| Rack Height | 4U |
| LEDs | Hard drive activity LED Network activity LEDs Power status LED System Overheat & Power Fail LED |
| Hot-swap Fans | 8 heavy duty fans with optimal fan speed control |
| CPU Type | Intel Xeon |
| CPU Speed | 8562Y+ (2.80 GHz) |
| Number of CPU Cores | 32-Core Processor |
| Cache Memory | 60 MB |
| # of Processors Installed | 2 |
| MAX Processors | 2 |
| Installed Memory Size | 1TB |
| Memory Type | DDR5 5600 |
| Max Memory Capacity | 8TB |
| Memory Features | Max Memory (1DPC): Up to 4TB 5600MT/s ECC RDIMM Max Memory (2DPC): Up to 8TB 4400MT/s ECC DDR5 RDIMM |
| Number of Memory Slots | 24 |
| SSD (Installed) | 2 x 1.92TB U.2 NVMe SSD 1 x 960GB M.2 NVMe SSD |
| Servers_Graphic Installed | 1 |
| GPU Type | 8 NVIDIA L40S PCIe |
| Ethernet Controller | 3 x Dual 100GbE QSFP56 |
| Expansion Bays | 8 front hot-swap 2.5" NVMe drive bays 8 front hot-swap 2.5" SATA drive bays 2 M.2 NVMe slots (M-key) |
| Power Characteristics | 4 x 2700W Titanium Level |
| Temperature | Operating Temperature: 10°C to 35°C (50°F to 95°F) Non-operating Temperature: -40°C to 60°C (-40°F to 140°F) |
| Humidity | Operating Relative Humidity: 8% to 90% (non-condensing) Non-operating Relative Humidity: 5% to 95% (non-condensing) |
| Dimensions | 7" x 17.2" x 29" |
| Weight | 65.5 lbs. |
| 배송 무게 | 63.50 kg |
| 포장 크기 | 1280 × 729 × 410 mm |
이 상품에 대한 질문
What rack height and front drive-bay clearance does this 4U server need?
The chassis occupies 4U and provides 8 front hot-swap 2.5" NVMe bays plus 8 front hot-swap 2.5" SATA bays, so the rack must accommodate that bay depth.
How are the eight NVIDIA L40S GPUs installed, and which step is often missed?
The GPUs mount in the PCIe expansion slots; the step often missed is connecting each card's auxiliary power cables from the 2700W Titanium supplies before closing the chassis.
Which fan modules will need replacement over time, and how many are there?
Eight hot-swap heavy-duty fan modules provide cooling; any module can be replaced individually while the system runs.
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