Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5 M.2 NVMe PCIe 5.0 8U Rackmount Server (Pre-Configured)
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5 M.2 NVMe PCIe 5.0 8U Rackmount Server
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5 M.2 NVMe PCIe 5.0
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5 M.2 NVMe (Pre-Configured)

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Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5 M.2 NVMe PCIe 5.0 8U Rackmount Server (Pre-Configured)
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5 M.2 NVMe PCIe 5.0 8U Rackmount Server
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5 M.2 NVMe PCIe 5.0
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD 192cores DDR5 M.2 NVMe (Pre-Configured)

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Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD EPYC 128cores DDR5 M.2 NVMe PCIe 5.0 8U Rackmount Server (Pre-Configured)

SupermicroSKU: RAAS8126GSNB3RT
$599,995.00 $625,000.00
Model Number: AS-8126GS-NB3RT
Alt. Part Number: AS -8126GS-NB3RT
Condition: New
In stock: Yes
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  • Overview
  • Tech Spec
  • Additional Info

Overview

AS-8126GS-NB3RT is a high-performance 8U rackmount server designed for AI, HPC, and data center workloads. It supports dual AMD EPYC processors, 2.3 TB DDR5 memory, and eight NVIDIA SXM GPUs, delivering extreme compute power and scalability. With 32 TB of E1.S NVMe storage and advanced management features, it is ideal for data-intensive and mission-critical applications.

Tech Spec

Form Factor8U Rackmount, GPU Server
Processor TypeAMD EPYC 9005/9004 Series
Processor Sockets2
Max Memory Capacity2.3 TB
Memory Speed6400 MT/s (9005 Series), 4800 MT/s (9004 Series)
Memory TypeECC DDR5 RDIMM
Storage TypeE1.S NVMe
Max HDD Capacity32 TB
Drive Bays8 front hot-swap E1.S NVMe bays
Power Supply6× 6600 Watts redundant (3+3) Titanium Level
Network Interface8 OSFP 800 GbE; 2 RJ45 10 GbE
Expansion Slots2 PCIe 5.0 x16 FHHL slots
Remote ManagementSupermicro Server Manager (SSM), SuperCloud Composer, Super Diagnostics Offline (SDO), Supermicro Thin-Agent Service (TAS), SuperServer Automation Assistant (SAA)
WorkloadAI, Data Center, HPC
Supermicro AS-8126GS-NB3RT HGX B300 GPU A+ AMD EPYC 128cores DDR5 M.2 NVMe PCIe 5.0 8U Rackmount Server (Pre-Configured)

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Frequently Asked Questions

What makes the Supermicro HGX B300 suitable for enterprise AI applications?

The Supermicro HGX B300 is designed for organizations that require accelerated computing performance for AI training, inference, deep learning, and large-scale machine learning applications.

Which industries can benefit from a Supermicro B300 AI server?

Industries including healthcare, financial services, research, cloud computing, automotive technology, and scientific organizations can use AI servers for advanced computational workloads.

How does an AI server differ from a traditional enterprise server?

An AI server is optimized with accelerated computing technologies to handle complex workloads such as machine learning models, neural networks, and large-scale data processing more efficiently than standard servers.

Can the Supermicro HGX B300 support future AI requirements?

Yes, the platform is designed with scalability in mind, allowing organizations to build infrastructure capable of supporting evolving AI technologies and increasing computational demands.

What factors should businesses evaluate before purchasing an AI server?

Businesses should consider workload type, processing requirements, scalability needs, data center compatibility, power requirements, and future expansion plans.

Is the Supermicro B300 AI server suitable for cloud service providers?

Yes, cloud providers can utilize high-performance AI server platforms to deliver accelerated computing resources for enterprise customers and AI-based applications.

How can you help with AI server deployment?

We assist organizations with selecting, configuring, and deploying enterprise server solutions based on their technical requirements and business objectives.

Why are GPU-accelerated servers important for modern AI workloads?

GPU-accelerated servers provide the parallel processing capability required for training complex AI models, accelerating simulations, and managing large-scale computational workloads.