Supermicro SYS-418G-Q20H1 4U Rack GPU Server for Large Language Model AI Computing
- Productcategorieën:Servers
- Onderdelennummer:SYS-418G-Q20H1
- Beschikbaarheid:In Stock
- Conditie:Gebruikt
- Productkenmerken:Aanpasbaar
- Min. bestelhoeveelheid:1 eenheid
- Oorspronkelijke prijs:$3,278.00
- Uw prijs: $2,999.00 U bespaart $279.00
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Supermicro 418G-Q20H1 4U Rack GPU Server for Large Language Model AI Computing
Title
Supermicro 418G-Q20H1 4U Rack GPU Server for Large Language Model AI Computing
Keywords
Supermicro 418G-Q20H1,418G-Q20H1 server,Supermicro 4U GPU server,AI training server,LLM computing server,H200 GPU server,8 GPU rack server,supermicro server,enterprise AI server,deep learning server,big data processing server,PCIe5.0 server,hot swap storage,redundant power supply,418G-Q20H1 ,AI inference server,high performance computing,data center server,server wholesale,original supermicro server,NVMe storage server,model training server,visual computing server,cloud GPU server
Description
Supermicro 418G-Q20H1 is a 4U rack-mounted 8-GPU server platform built for large language model training, AI inference and high-performance computing. It supports up to 8 double-wide PCIe 5.0 GPUs like NVIDIA H200, H100, A100. Dual AMD EPYC or Intel Xeon processors, abundant DDR5 memory slots, multiple hot-swappable NVMe drive bays and redundant high-wattage power supplies, stable for heavy AI workloads, widely used in AI labs, data centers and computing clusters.
Key Features
- 4U rackmount chassis, supports up to 8 double-wide full-length PCIe 5.0 GPUs, ideal for H200/H100 multi-GPU AI cluster deployment.
- Dual socket platform, optional AMD EPYC or Intel Xeon scalable CPUs, high memory bandwidth to match GPU computing demands.
- Multiple hot-swap 2.5-inch NVMe/SAS/SATA drive bays, fast storage access for large dataset loading.
- Supports dual or 4 redundant high-efficiency titanium power supplies, reliable power output under full GPU load.
- Optimized high airflow cooling system, built-in BMC remote management, convenient server monitoring and maintenance.
Configuration
- Product Model: Supermicro 418G-Q20H1
- Form Factor:4U Rack Server
- Processor: Dual Socket, support AMD EPYC / Intel Xeon Scalable processors
- Memory: Multiple DDR5 ECC RDIMM slots, support high capacity enterprise memory
- GPU: Up to 8 double-wide PCIe5.0 GPUs, compatible with NVIDIA H200, H100, A100, A800
- Storage: Front hot-swap 2.5" drive bays, support NVMe SSD, SAS SSD, SATA HDD
- Power Supply: Optional 2/4 redundant Titanium high wattage PSU
- Management: BMC IPMI remote management, real-time hardware status monitoring
- Cooling: High-speed PWM fans, optimized air duct design for multi-GPU heat dissipation
Compatibility
- Compatible with AMD EPYC series and Intel Xeon Scalable series dual processors.
- Support DDR5 ECC RDIMM enterprise server memory.
- Compatible with NVIDIA H200, H100, A100, A800, A40 PCIe5.0 GPU cards.
- Supports 2.5 inch NVMe SSD, SAS SSD, SATA HDD and enterprise storage drives.
- Compatible with standard IPMI management tools, network cards and PCIe expansion accessories.
Usage Scenarios
- Large language model training, LLM fine-tuning and AI model inference service.
- High performance computing, scientific simulation, meteorology and biomedical computing.
- Computer vision, image recognition, video analysis and media processing tasks.
- Data center GPU cluster construction, cloud computing resource pool, AI research institute computing platform.
Frequently Asked Questions
- Q: How many GPUs can Supermicro 418G-Q20H1 install?
A: It can mount up to 8 double-wide PCIe 5.0 GPUs such as H200, H100, suitable for large model training. - Q: Does this server support remote management?
A: Yes, equipped with BMC IPMI, you can remotely monitor temperature, fan, power and do remote reboot. - Q: Can I buy this server as barebone准system?
A: Yes, barebone准system version is available, users can customize CPU, memory, GPU and storage components. - Q: What power supply options are available for 418G-Q20H1?
A: It supports dual or four redundant Titanium high wattage power supplies to meet the power consumption of 8 high-power GPUs.
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