ASUS HGX B300 AI Server Platform
Brand: ASUS | Category: GPUs
SKU: ASUS-HGX-B300-AI-SERVER-PLATFO | Part #: 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 from ASUS is enterprise-grade GPUs hardware built for data centers. It features 2TB capacity, Baseboard form factor, NVMe interface. Complete AI server platform featuring HGX B300 baseboard with 8x GPU configuration. Designed for large-scale AI training and HPC applications. Available in brand new condition. ASUS gpus products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
Technical Specifications
| Brand | ASUS |
| Category | GPUs |
| SKU | ASUS-HGX-B300-AI-SERVER-PLATFO |
| Part Number | SKU-ASUS-HGX-B300-AI-SERVER-PLATFO |
| Condition | New |
| Capacity | 2TB |
| Form Factor | Baseboard |
| Interface | NVMe |
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.