Brand: ASUS | Category: GPUs
SKU: ESC4000A-E12-MI325X | Part #: ESC4000A-E12-MI325X | MPN: ESC4000A-E12-MI325X
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The ASUS ESC4000A-E12 is a 2U rackmount server built to deliver exceptional compute density for demanding AI, HPC, and scientific workloads. This four-GPU platform houses 4x AMD Instinct MI325X accelerators based on AMD CDNA 3 architecture, each equipped with 256 GB of HBM3E memory for a total of 1 TB of GPU memory across the system. The dual AMD EPYC 9004 Series (Genoa) processors occupy 2x SP5 sockets and are backed by 24 DIMM slots supporting DDR5 RDIMM and 3DS RDIMM configurations. PCIe 5.0 connectivity powers both the GPU interconnect via AMD Infinity Fabric and the host I/O subsystem, while NVMe storage integrates through OCP 3.0 mezzanine and M.2 slots with front-accessible drive bays. Redundant 80 PLUS Titanium-rated power supplies ensure enterprise-grade reliability and efficiency in production environments.
The ESC4000A-E12-MI325X appeals directly to AI infrastructure teams, HPC architects, and research organizations deploying large-scale machine learning training and inference pipelines. Its massive per-GPU memory footprint and dual-socket CPU design support complex model development, batch processing, and real-time inference scenarios where memory bandwidth and compute coherence are critical. ASUS integrated ASMB11-iKVM baseboard management with IPMI 2.0 and Redfish API support, enabling remote administration and integration into existing data center orchestration platforms. The tool-less 2U chassis with hot-swap components reduces operational friction during hardware maintenance and scaling.
The ESC4000A-E12-MI325X runs Linux operating systems including Ubuntu, RHEL, and SLES, with full compatibility via the ROCm software stack. ASUS designed this server for workloads demanding both raw compute throughput and architectural flexibility. Network connectivity is delivered via OCP 3.0 mezzanine daughter card slots, allowing seamless integration into customer-defined fabric strategies. Contact Omnixon Global today to request a detailed quote and technical consultation for your next-generation AI and HPC infrastructure investment.
| Brand | ASUS |
| Category | GPUs |
| SKU | ESC4000A-E12-MI325X |
| Part Number | ESC4000A-E12-MI325X |
| Condition | New |
| Manufacturer Part Number | ESC4000A-E12-MI325X |
| Form Factor | 2U Rack Server |
| GPU Configuration | 4x AMD Instinct MI325X |
| GPU Architecture | AMD CDNA 3 |
| GPU Memory per Accelerator | 256 GB HBM3E |
| Total GPU Memory | 1 TB HBM3E (4 x 256 GB) |
| CPU Platform | Dual AMD EPYC 9004 Series (Genoa) |
| CPU Socket | 2x SP5 |
| System Memory Slots | 24 x DIMM (DDR5 RDIMM / 3DS RDIMM) |
| PCIe Generation | PCIe 5.0 |
| GPU Interconnect | AMD Infinity Fabric / PCIe 5.0 |
| Storage Interface | NVMe via OCP 3.0 mezzanine; M.2 slots; front-accessible drive bays |
| Network | OCP 3.0 mezzanine slot for network daughter card |
| Management | ASUS ASMB11-iKVM; IPMI 2.0; Redfish API |
| Power Supply | Redundant 80 PLUS Titanium rated PSUs |
| Operating System Support | Linux (Ubuntu, RHEL, SLES); ROCm software stack |
| Target Workloads | AI/ML training and inference, HPC, scientific computing |
| Chassis | 2U rackmount, tool-less design with hot-swap components |
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.