Supermicro SuperServer SYS-751GE-GAUDI3 — 8x Intel Gaudi 3 OAM 96GB HBM2e System
Brand: Supermicro | Category: GPUs
SKU: SYS-751GE-TNHT | Part #: SYS-751GE-TNHT | MPN: SYS-751GE-TNHT
Contact for Pricing — Request a Quote
About the Supermicro SuperServer SYS-751GE-GAUDI3 — 8x Intel Gaudi 3 OAM 96GB HBM2e System
This system delivers 768 GB total HBM2e memory — 96 GB per accelerator across 8 Intel Gaudi 3 OAM units — engineered for compute-intensive AI and HPC workloads requiring massive bandwidth and on-device storage. The Supermicro SuperServer SYS-751GE-GAUDI3 (part number SYS-751GE-TNHT) combines eight Intel Gaudi 3 Open Accelerator Modules in a single 4U rackmount chassis, delivering integrated scale-up and scale-out networking via the Gaudi 3 RoCE-based fabric. Each accelerator exposes 24-port 21 Gbps Ethernet for direct cluster interconnect, enabling organizations to build large-scale distributed training and inference clusters without external network bottlenecks.
The platform pairs dual 4th Gen Intel Xeon Scalable Processors (Sapphire Rapids) supporting up to 350W TDP per socket with 32 DDR5 ECC Registered DIMM slots, PCIe 5.0 connectivity, and NVMe plus SATA storage options. Supermicro's 4U Ultra chassis includes liquid cooling support and high-efficiency redundant power supplies rated at titanium or platinum grade for mission-critical deployments. Native support for PyTorch and TensorFlow via Intel SynapseAI SDK, combined with Linux operating system compatibility (Ubuntu, Red Hat Enterprise Linux), positions this system as a turnkey platform for AI infrastructure teams deploying large-language-model training, LLM inference, and high-performance computing applications at scale.
Typical AI and HPC Deployment Scenarios
- Large-scale distributed LLM training with synchronized gradient computation across eight Gaudi 3 accelerators
- Multi-node inference clusters leveraging integrated 21 Gbps Ethernet for sub-millisecond inter-accelerator communication
- HPC simulation and computational chemistry workloads benefiting from 768 GB unified HBM2e memory architecture
- PyTorch and TensorFlow model development and optimization on a single unified 4U platform
- Enterprise AI pipeline acceleration with direct-attach storage via PCIe 5.0 and SATA interfaces
For AI infrastructure procurement and technical validation, contact Omnixon Global to request a detailed quotation for the SYS-751GE-TNHT.
Technical Specifications
| Brand | Supermicro |
| Category | GPUs |
| SKU | SYS-751GE-TNHT |
| Part Number | SYS-751GE-TNHT |
| Condition | New |
| Manufacturer Part Number | SYS-751GE-TNHT |
| Product Name | SuperServer SYS-751GE-GAUDI3 |
| Form Factor | 4U Rackmount |
| Accelerators | 8x Intel Gaudi 3 OAM (Open Accelerator Module) |
| Accelerator Memory | 96 GB HBM2e per accelerator (768 GB total) |
| CPU Support | Dual 4th Gen Intel Xeon Scalable Processors (Sapphire Rapids), Socket FCLGA4677 |
| CPU TDP Support | Up to 350W TDP per processor |
| System Memory Type | DDR5 ECC Registered (RDIMM / 3DS RDIMM) |
| Memory Slots | 32 x DIMM slots |
| PCIe Generation | PCIe 5.0 |
| Storage Interfaces | NVMe via PCIe, SATA support through platform chipset |
| Accelerator Interconnect | Intel Gaudi 3 integrated RoCE-based scale-up and scale-out networking fabric |
| Scale-Out Networking | On-chip 24-port 21 Gbps Ethernet per Gaudi 3 accelerator for direct cluster interconnect |
| Cooling | Liquid cooling supported; high-airflow fan modules included |
| Operating System Support | Linux (Ubuntu, Red Hat Enterprise Linux) |
| AI Framework Support | PyTorch, TensorFlow via Intel SynapseAI SDK |
| Power Supply | High-efficiency redundant power supplies (titanium/platinum grade) |
| Target Workloads | AI training, LLM inference, HPC |
| Chassis | Supermicro 4U Ultra server chassis |
Frequently Asked Questions about Supermicro SuperServer SYS-751GE-GAUDI3 — 8x Intel Gaudi 3 OAM 96GB HBM2e System
What server platforms accept the Supermicro SuperServer SYS-751GE-GAUDI3 — 8x Intel Gaudi 3 OAM 96GB HBM2e System?
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.
How long is the lead time on AI GPUs?
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.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
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.
Can you help with NVIDIA AI Enterprise licensing?
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.