ASUS ESC8000A-E12 8x NVIDIA B200 SXM6 192GB HBM3e GPU Server

The ASUS ESC8000A-E12 is a purpose-built 8U GPU compute server engineered to deliver maximum AI training and inference throughput through eight NVIDIA B200 SXM6 GPUs, each equipped with 192GB of HBM3e memory. Built on the NVIDIA Blackwell architecture, the B200 SXM6 accelerators deliver transformative improvements in FP8, FP16, BF16, and TF32 tensor compute performance compared to prior generations, enabling organizations to tackle frontier-scale large language model training, multimodal AI, and scientific simulation workloads at datacenter density.

The ESC8000A-E12 pairs its GPU subsystem with dual AMD EPYC 9004 series (Genoa) processors, offering a high core count CPU foundation that can sustain the data preprocessing and orchestration demands of continuous GPU utilization. The platform incorporates NVLink and NVSwitch interconnect topology to provide high-bandwidth, low-latency GPU-to-GPU communication across all eight accelerators, forming a unified memory fabric that is essential for scaling model parallelism across the full node. The system supports PCIe Gen 5 expansion for high-throughput networking and storage I/O, and is designed to accommodate 400GbE or InfiniBand HDR/NDR network adapters required for multi-node cluster operation.

Designed for deployment in hyperscale datacenters, enterprise AI infrastructure, and national research computing environments, the ESC8000A-E12 conforms to standard 8U rackmount form factor with redundant power supply units and hot-swap cooling to maintain continuous availability. ASUS ASMB11 baseboard management provides out-of-band IPMI 2.0 and Redfish-compliant remote management, enabling integration with modern infrastructure automation and monitoring stacks. The system is validated for demanding workloads including generative AI development, large-scale deep learning research, HPC simulation, and GPU-accelerated data analytics pipelines.

Ideal for

• Large language model pre-training and fine-tuning at scale, leveraging the full 8x B200 SXM6 NVLink fabric for tensor and pipeline parallelism across trillions of parameters
• Multimodal generative AI development encompassing text, image, video, and audio modalities requiring high HBM3e memory capacity per accelerator
• High-performance computing and scientific simulation workloads in fields such as computational fluid dynamics, molecular dynamics, and climate modeling that benefit from Blackwell FP64 and FP32 throughput
• Enterprise inference serving for deployed foundation models where low-latency, high-throughput batched inference demands maximum on-node GPU memory bandwidth
• GPU-accelerated data analytics and machine learning feature engineering pipelines operating on large in-memory datasets using frameworks such as RAPIDS cuDF and cuML
• Sovereign AI and national research infrastructure deployments requiring dense, self-contained GPU compute nodes with full out-of-band management and datacenter-grade reliability

Technical specifications

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