Brand: Intel | Category: GPUs
SKU: ESC8000-E12-G3 | Part #: ESC8000-E12-G3 | MPN: ESC8000-E12-G3
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The ASUS ESC8000-E12 with Intel Gaudi 3 Configuration is a high-density 4U rack server engineered for large-scale AI training and inference workloads. Built on the ASUS ESC8000-E12 platform paired with Intel Gaudi 3 AI accelerators, this system integrates Intel's third-generation Gaudi architecture, delivering high-bandwidth interconnects and substantial HBM2e memory capacity per accelerator. The configuration supports up to eight Intel Gaudi 3 mezzanine accelerator cards, enabling tightly coupled all-to-all communication across accelerators via integrated 24-port 200GbE RoCE networking fabric built directly into each Gaudi 3 die.
At the processor level, the ESC8000-E12 platform supports dual 5th Generation Intel Xeon Scalable processors (Emerald Rapids) with high-speed DDR5 memory across 32 DIMM slots, providing the CPU-side compute and memory bandwidth necessary to feed eight Gaudi 3 accelerators without bottlenecks. The system incorporates PCIe 5.0 connectivity, redundant 3000W platinum-rated power supplies, and enterprise-grade thermal management suited to dense AI compute environments. Storage options include front-accessible NVMe and SATA drive bays, and the system supports OCP 3.0 network mezzanine cards for flexible fabric integration.
This configuration is purpose-built for enterprise data centers deploying generative AI, large language model training, and high-throughput inference at scale. As an Intel Gaudi 3-based platform, it offers an alternative to GPU-based AI infrastructure with a software stack compatible with PyTorch and optimized via Intel's SynapseAI SDK. The system is suited to organizations in financial services, healthcare AI, telecommunications, and cloud service environments across the UAE, GCC, EMEA, and APAC regions seeking high-performance, standards-based AI compute infrastructure.
| Manufacturer | Intel |
| System Platform | ASUS ESC8000-E12 |
| Manufacturer Part Number | ESC8000-E12-G3 |
| Form Factor | 4U Rack Server |
| AI Accelerators | Up to 8x Intel Gaudi 3 AI Accelerators (mezzanine form factor) |
| Gaudi 3 Memory per Accelerator | 96 GB HBM2e |
| Gaudi 3 On-Chip Networking | 24x 200GbE RoCE ports per Gaudi 3 (integrated) |
| Supported CPU | Dual 5th Gen Intel Xeon Scalable Processors (Emerald Rapids, LGA4677) |
| Memory Slots | 32x DIMM slots |
| Supported Memory Type | DDR5 ECC RDIMM / 3DS RDIMM |
| PCIe Standard | PCIe 5.0 |
| Storage Bays | Front-accessible NVMe and SATA/SAS hot-swap drive bays |
| Power Supply | Redundant 3000W 80 PLUS Platinum |
| OCP Networking | OCP 3.0 mezzanine slot |
| Management | IPMI 2.0, ASUS ASMB11 BMC, Redfish API |
| Operating System Support | Linux (Ubuntu, Red Hat Enterprise Linux) |
| AI Software Stack | Intel SynapseAI SDK, PyTorch (via Intel Gaudi software stack) |
| Target Workloads | AI Training, AI Inference, HPC |
| Availability Region | UAE, GCC, EMEA, APAC |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | Intel |
| Category | GPUs |
| SKU | ESC8000-E12-G3 |
| Part Number | ESC8000-E12-G3 |
| Condition | New |
| System Platform | ASUS ESC8000-E12 |
| Manufacturer Part Number | ESC8000-E12-G3 |
| Form Factor | 4U Rack Server |
| AI Accelerators | Up to 8x Intel Gaudi 3 AI Accelerators (mezzanine form factor) |
| Gaudi 3 Memory per Accelerator | 96 GB HBM2e |
| Gaudi 3 On-Chip Networking | 24x 200GbE RoCE ports per Gaudi 3 (integrated) |
| Supported CPU | Dual 5th Gen Intel Xeon Scalable Processors (Emerald Rapids, LGA4677) |
| Memory Slots | 32x DIMM slots |
| Supported Memory Type | DDR5 ECC RDIMM / 3DS RDIMM |
| PCIe Standard | PCIe 5.0 |
| Storage Bays | Front-accessible NVMe and SATA/SAS hot-swap drive bays |
| Power Supply | Redundant 3000W 80 PLUS Platinum |
| OCP Networking | OCP 3.0 mezzanine slot |
| Management | IPMI 2.0, ASUS ASMB11 BMC, Redfish API |
| Operating System Support | Linux (Ubuntu, Red Hat Enterprise Linux) |
| AI Software Stack | Intel SynapseAI SDK, PyTorch (via Intel Gaudi software stack) |
| Target Workloads | AI Training, AI Inference, HPC |
| Availability Region | UAE, GCC, EMEA, APAC |
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.