Brand: Intel | Category: GPUs
SKU: SYS-821GE-TNHR-G3 | Part #: SYS-821GE-TNHR-G3 | MPN: SYS-821GE-TNHR-G3
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This 4U rack-mount server harnesses eight Intel Gaudi 3 OAM (Open Accelerator Module) accelerators with passive OAM cooling, delivering 1,024 GB of HBM2e memory and 64 MB of on-chip SRAM per accelerator for large-scale AI inference and training workloads. Built on the Supermicro SYS-821GE-TNHR platform and available as model SYS-821GE-TNHR-G3, this system integrates dual 4th or 5th Gen Intel Xeon Scalable Processors (LGA 4677 sockets) paired with up to 8 TB of DDR5 system memory across 32 DIMM slots. The Gaudi 3 integrated NIC fabric provides all-to-all interconnect with eight 200 Gb/s ports per OAM for ultra-low-latency, high-throughput cluster communication.
Designed for AI infrastructure teams and enterprise data center operators, the SYS-821GE-TNHR-G3 combines redundant 3,000 W Titanium power supplies with PCIe 5.0 connectivity and dual-port 10GBase-T onboard management, plus high-speed scale-out via Gaudi 3 integrated 200 Gb/s Ethernet ports. Intel Gaudi SynapseAI SDK support enables seamless integration with PyTorch and TensorFlow frameworks, while native Ubuntu and Red Hat Enterprise Linux (RHEL) support ensure operational flexibility. Contact Omnixon Global for detailed specifications and an RFQ on the Intel Tiber AI Cloud Node HGX-equivalent platform.
| Brand | Intel |
| Category | GPUs |
| SKU | SYS-821GE-TNHR-G3 |
| Part Number | SYS-821GE-TNHR-G3 |
| Condition | New |
| Platform Vendor | Supermicro |
| Base Server Model | SYS-821GE-TNHR |
| Manufacturer Part Number | SYS-821GE-TNHR-G3 |
| Form Factor | 4U Rack-Mount |
| AI Accelerator | Intel Gaudi 3 OAM (Open Accelerator Module) |
| Number of Accelerators | 8x Gaudi 3 OAM |
| Accelerator Memory per OAM | 128 GB HBM2e |
| Total Accelerator Memory | 1,024 GB HBM2e |
| On-Chip SRAM per OAM | 64 MB |
| Intra-Node Interconnect | Gaudi 3 integrated NIC fabric (all-to-all, 8-port 200 Gb/s ports per OAM) |
| Host CPU | Dual 4th or 5th Gen Intel Xeon Scalable Processors |
| CPU Socket | LGA 4677 (Socket E) × 2 |
| System Memory Capacity | Up to 8 TB DDR5 |
| DIMM Slots | 32 (16 per CPU) |
| PCIe Generation | PCIe 5.0 |
| Network | Dual-port 10GBase-T onboard management + high-speed scale-out via Gaudi 3 integrated 200 Gb/s Ethernet ports |
| Power Supply | Redundant 3,000 W Titanium (80 PLUS Titanium) |
| Software Stack | Intel Gaudi SynapseAI SDK; PyTorch, TensorFlow framework support |
| Operating System Support | Ubuntu, Red Hat Enterprise Linux (RHEL) |
| Cooling | Forced-air, front-to-rear airflow |
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.