ASUS ESC4000A-E12 4x NVIDIA B100 PCIe 192GB HBM3e GPU Server

The ASUS ESC4000A-E12 is a high-density 4U rack server engineered to support four NVIDIA B100 PCIe GPU accelerators, each equipped with 192GB of HBM3e memory, delivering exceptional aggregate memory bandwidth and compute throughput for the most demanding AI and HPC workloads. Built on the AMD EPYC (Genoa/Bergamo-generation) platform, the ESC4000A-E12 provides a robust CPU-to-GPU interconnect architecture via PCIe 5.0, enabling high-bandwidth data movement between host processors and accelerators. The chassis accommodates enterprise-grade power, cooling, and storage infrastructure designed for continuous operation in datacenter environments.

The four NVIDIA B100 PCIe accelerators housed in this system are based on NVIDIA's Blackwell architecture, offering substantial advances in AI training and inference efficiency compared to prior generations. With 192GB of HBM3e per GPU, the platform supports very large model parameters and datasets entirely within GPU memory, reducing data staging overhead and enabling practitioners to run frontier-scale large language models, multimodal AI, and scientific simulation workloads without memory-capacity constraints that typically require model parallelism across additional nodes.

Designed for enterprise datacenters, cloud service providers, and research institutions, the ESC4000A-E12 integrates ASUS ASMB management capabilities for out-of-band server administration, along with redundant power supply units and high-airflow cooling to sustain GPU thermal design power requirements at scale. The system targets AI model training, generative AI inference serving, computational fluid dynamics, genomics, and financial risk modeling workloads where both memory capacity and sustained compute throughput are critical operational requirements.

Ideal for

• Large language model (LLM) pre-training and fine-tuning requiring high aggregate HBM capacity across multiple Blackwell GPUs within a single 4U chassis
• Generative AI inference serving for production deployments where low-latency, high-throughput token generation is essential for enterprise applications
• High-performance computing workloads including computational fluid dynamics, molecular dynamics simulation, and climate modeling benefiting from high memory bandwidth
• Genomics and life sciences data processing pipelines that require large in-memory datasets and parallel GPU acceleration for sequence alignment and variant analysis
• Financial services risk analytics and quantitative modeling requiring sustained double-precision floating-point throughput across multiple concurrent GPU processes
• AI-driven computer vision and multimodal model training for autonomous systems, medical imaging, and industrial inspection applications at enterprise scale

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.