Intel Tiber AI Cloud Node HGX-equivalent Gaudi 3 4U Server (8x OAM) — Supermicro SYS-821GE-TNHR w/ Gaudi3

Intel Tiber AI Cloud Node HGX-equivalent Gaudi 3 4U Server (8x OAM) — Supermicro SYS-821GE-TNHR w/ Gaudi3

Brand: Intel | Category: GPUs

SKU: SYS-821GE-TNHR-G3 | Part #: SYS-821GE-TNHR-G3 | MPN: SYS-821GE-TNHR-G3

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About the Intel Tiber AI Cloud Node HGX-equivalent Gaudi 3 4U Server (8x OAM) — Supermicro SYS-821GE-TNHR w/ Gaudi3

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.

Typical Enterprise Workloads

  • Large-language model (LLM) inference and fine-tuning at scale
  • Multi-modal AI model training with distributed tensor parallelism
  • Real-time recommendation engine serving and retraining
  • Deep learning compute clusters requiring sub-millisecond inter-node latency
  • AI-driven analytics and data processing for enterprise intelligence platforms

Technical Specifications

BrandIntel
CategoryGPUs
SKUSYS-821GE-TNHR-G3
Part NumberSYS-821GE-TNHR-G3
ConditionNew
Platform VendorSupermicro
Base Server ModelSYS-821GE-TNHR
Manufacturer Part NumberSYS-821GE-TNHR-G3
Form Factor4U Rack-Mount
AI AcceleratorIntel Gaudi 3 OAM (Open Accelerator Module)
Number of Accelerators8x Gaudi 3 OAM
Accelerator Memory per OAM128 GB HBM2e
Total Accelerator Memory1,024 GB HBM2e
On-Chip SRAM per OAM64 MB
Intra-Node InterconnectGaudi 3 integrated NIC fabric (all-to-all, 8-port 200 Gb/s ports per OAM)
Host CPUDual 4th or 5th Gen Intel Xeon Scalable Processors
CPU SocketLGA 4677 (Socket E) × 2
System Memory CapacityUp to 8 TB DDR5
DIMM Slots32 (16 per CPU)
PCIe GenerationPCIe 5.0
NetworkDual-port 10GBase-T onboard management + high-speed scale-out via Gaudi 3 integrated 200 Gb/s Ethernet ports
Power SupplyRedundant 3,000 W Titanium (80 PLUS Titanium)
Software StackIntel Gaudi SynapseAI SDK; PyTorch, TensorFlow framework support
Operating System SupportUbuntu, Red Hat Enterprise Linux (RHEL)
CoolingForced-air, front-to-rear airflow

Frequently Asked Questions about Intel Tiber AI Cloud Node HGX-equivalent Gaudi 3 4U Server (8x OAM) — Supermicro SYS-821GE-TNHR w/ Gaudi3

What server platforms accept the Intel Tiber AI Cloud Node HGX-equivalent Gaudi 3 4U Server (8x OAM) — Supermicro SYS-821GE-TNHR w/ Gaudi3?

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.