ASUS HGX B300 AI Server Platform
Brand: ASUS | Category: GPUs
SKU: ASUS-HGX-B300-AI-SERVER-PLATFO | Part #: ASUS-HGX-B300-AI-SERVER-PLATFO | MPN: SKU-ASUS-HGX-B300-AI-SERVER-PLATFO
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About the ASUS HGX B300 AI Server Platform
The ASUS HGX B300 AI Server Platform is a high-performance, scalable solution designed to meet the demanding needs of modern enterprise AI workloads. Built with enterprise-grade components and advanced architecture, this platform delivers exceptional computational power, reliability, and flexibility for data centers, research institutions, and AI development teams seeking to accelerate their projects.
- Form Factor: 2U rack-mount chassis optimized for data center deployment
- Capacity: Supports up to 8 high-performance GPUs for intensive AI training and inference tasks
- Processor Support: Compatible with dual Intel Xeon Scalable processors for dual-socket scalability
- Memory: Up to 2TB DDR4 ECC Registered DIMMs for large-scale data processing
- Storage: Multiple NVMe SSD slots and SATA ports for fast data access and storage flexibility
- Networking: Integrated dual 10GbE ports with optional 25GbE or higher for high-speed data transfer
- Power Supply: Redundant hot-swappable power supplies for enhanced uptime and reliability
- Management: ASUS management interface with remote monitoring and control capabilities
The ASUS HGX B300 AI Server Platform is ideally suited for large-scale AI training, deep learning, data analytics, and high-performance computing applications. Its modular design allows for easy expansion and customization, making it suitable for evolving enterprise needs. With robust performance, advanced cooling, and high availability features, this platform ensures reliable operation in demanding environments, helping organizations accelerate their AI initiatives and achieve faster insights.
Technical Specifications
| Brand | ASUS |
| Category | GPUs |
| SKU | ASUS-HGX-B300-AI-SERVER-PLATFO |
| Part Number | ASUS-HGX-B300-AI-SERVER-PLATFO |
| MPN | SKU-ASUS-HGX-B300-AI-SERVER-PLATFO |
| Condition | New |
| Capacity | 2TB |
| Form Factor | Baseboard |
| Interface | NVMe |
| Form Factor | Baseboard |
| Max Memory | 2TB DDR4 |
| GPU Support | NVIDIA B300 |
| GPU Count | 8x |
| AI Optimized | Yes |
| Processor | Supports dual AMD EPYC processors |
| gpu_slots | Supports up to 8 PCIe 4.0 x16 GPU cards |
| memory_support | Up to 4TB DDR4 ECC Registered DIMMs |
| storage_options | Supports NVMe SSDs via M.2 and U.2 slots |
| Network | Integrated 10GbE and 25GbE network interfaces |
| Power Supply | Dual redundant 2000W power supplies |
| Expansion Slots | Multiple PCIe 4.0 expansion slots for additional I/O |
| Management | Integrated IPMI 2.0 for remote management |
| thermal_design | Advanced cooling with multiple fan headers and optimized airflow |
Frequently Asked Questions about ASUS HGX B300 AI Server Platform
What does the ASUS HGX B300 AI Server Platform do?
The ASUS HGX B300 AI Server Platform accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
What are the headline specs of the ASUS HGX B300 AI Server Platform?
Key specifications for the ASUS HGX B300 AI Server Platform: form factor Baseboard; new condition; form factor Baseboard; processor support Supports dual AMD EPYC processors; gpu slots Supports up to 8 PCIe 4.0 x16 GPU cards; memory support Up to 4TB DDR4 ECC Registered DIMMs; storage options Supports NVMe SSDs via M.2 and U.2 slots; networking Integrated 10GbE and 25GbE network interfaces. Manufacturer part number SKU-ASUS-HGX-B300-AI-SERVER-PLATFO. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the ASUS HGX B300 AI Server Platform compatible with my infrastructure?
The ASUS HGX B300 AI Server Platform requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.