ASUS ESC8000A-E12 Intel Gaudi 3 OAM 128GB HBM2e GPU Server (8-Accelerator)

Brand: ASUS | Category: GPUs

SKU: ESC8000A-E12-GAUDI3 | Part #: ESC8000A-E12-GAUDI3 | MPN: ESC8000A-E12-GAUDI3

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This system delivers 1 TB of HBM2e memory across 8 Intel Gaudi 3 OAM accelerators, engineered for large-scale AI training and inference workloads. The ASUS ESC8000A-E12 is a 4U rackmount server built to maximize throughput in dense compute environments, combining dual 5th Generation Intel Xeon Scalable Processors with PCIe 5.0 connectivity and redundant 80 PLUS Titanium power supplies for mission-critical deployments.

Each accelerator module provides 128 GB of HBM2e memory, with intra-node scaling via Intel Gaudi 3 scale-up fabric. The system supports DDR5 ECC Registered DIMM across 24 DIMM slots (12 per CPU), 8 hot-swap 2.5-inch drive bays, and dual-port 10GbE onboard networking. ASUS delivers this platform with ASMB11-iKVM management (IPMI 2.0 compliant) and full compatibility with Intel SynapseAI SDK, PyTorch, and DeepSpeed integration. For AI infrastructure teams evaluating enterprise-scale accelerated compute, model ESC8000A-E12-GAUDI3 offers a tightly integrated foundation supporting Linux (Ubuntu, RHEL) deployments.

Enterprise Deployment Scenarios

• Large-scale distributed AI training on models requiring multi-terabyte working memory and low-latency GPU-to-GPU communication
• High-throughput inference clusters where 8 accelerators per node reduce latency and consolidate workloads in minimal rack space
• Deep learning research environments leveraging Intel SynapseAI SDK and PyTorch frameworks across unified HBM2e memory pools
• Financial modeling and scientific simulation requiring sustained high-bandwidth memory access and fault-tolerant redundant power infrastructure
• Multi-tenant cloud and service provider platforms consolidating accelerated workloads on a single PCIe 5.0 backed compute node

Contact Omnixon Global to request a quotation for the ASUS ESC8000A-E12-GAUDI3 and discuss integration requirements for your enterprise infrastructure.