Need faster AI and data use? This server runs big models, speeds up work, and helps businesses make decisions.
Enterprises and cloud-service providers face growing challenges in running advanced AI workloads, large language models, and scientific computing. Traditional servers often struggle with speed, scalability, and reliability, making it hard to turn data into actionable insights. ASUS addresses these challenges with the XA NB3I-E12 AI server, built on the NVIDIA HGX B300 platform, providing next-generation computing power for the AI era.
The AI server is engineered for organizations that need to process intensive AI workloads efficiently. It is suitable for enterprises and CSPs running large language models, research institutions and universities performing scientific computing, and financial and automotive companies focused on AI model training and inference. Equipped with eight NVIDIA Blackwell Ultra GPUs, dual Intel Xeon 6 Scalable processors, eight NVIDIA ConnectX-8 InfiniBand SuperNICs, five PCIe expansion slots, 32 DIMMs, 10 NVMe drives, and dual 10Gb LAN, it enables faster computations, larger model training, and reliable AI inference, turning complex data into intelligence for real-world automation.
As AI adoption grows, enterprises require scalable, secure infrastructure to accelerate digital transformation. The AI server’s customizable open architecture and exceptional performance allow organizations to build AI environments for generative AI, predictive analytics, scientific computing, and AGI applications. By converting raw computing power into scalable intelligence, it supports smarter operations, faster decision-making, and innovation across industries.
To ensure smooth deployment and operation, the company provides Professional Services. Their dedicated teams, including R&D, project management, and sales experts, offer consulting, system optimization, testing, and rapid issue resolution. Immediate escalation to senior management guarantees timely solutions, allowing organizations to focus on AI adoption and digital transformation rather than infrastructure challenges.
