Brand: Intel | Category: GPUs
SKU: SYS-421GS-TNR | Part #: SYS-421GS-TNR | MPN: SYS-421GS-TNR
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The Supermicro SYS-421GS-TNR is a 4U rack server engineered around Intel's Gaudi 3 AI accelerator architecture, purpose-built for high-throughput deep learning training, large language model inference, and compute-intensive data center workloads. The system integrates Intel Gaudi 3 HPUs (Habana Processing Units), which deliver high memory bandwidth and matrix multiplication throughput optimized for transformer-based model architectures, offering enterprises a scalable alternative path for AI infrastructure alongside traditional GPU-based solutions.
The server platform is built on Supermicro's enterprise-grade 4U chassis with robust power delivery, high-density NVMe storage support, and high-speed networking fabric interconnects that enable low-latency, scale-out AI cluster deployments. Intel Gaudi 3 accelerators within this platform feature on-chip RoCE v2 networking ports, enabling direct accelerator-to-accelerator communication across nodes without requiring a separate dedicated networking switch fabric for the AI traffic plane, simplifying data center topology and reducing interconnect overhead.
Targeted at enterprise IT departments, hyperscale operators, and AI research institutions across regions including the UAE, GCC, EMEA, and APAC, the SYS-421GS-TNR supports the SynapseAI software stack, providing compatibility with PyTorch and TensorFlow frameworks through Intel's optimized operator libraries. This makes the platform accessible for organizations looking to deploy production AI workloads with familiar toolchains while benefiting from the performance-per-watt characteristics of the Gaudi 3 architecture.
| Manufacturer | Intel |
| Manufacturer Part Number | SYS-421GS-TNR |
| Form Factor | 4U Rack Server |
| AI Accelerator | Intel Gaudi 3 HPU |
| Number of Accelerators | 8 x Intel Gaudi 3 |
| Accelerator Memory Type | HBM2e |
| Accelerator Memory per Card | 96 GB HBM2e |
| Total Accelerator Memory | 768 GB |
| Accelerator Interconnect | On-chip RoCE v2 (21 x 200GbE ports per Gaudi 3) |
| CPU Support | Dual Intel Xeon Scalable (4th Gen, Sapphire Rapids) processors |
| CPU Socket | Socket LGA4677 x2 |
| System Memory Type | DDR5 ECC RDIMM / 3DS RDIMM |
| Memory Slots | 32 x DIMM slots |
| Storage | Front-accessible NVMe/SATA/SAS drive bays |
| Network (System) | Dual 10GBase-T management and data ports |
| PCIe | PCIe 5.0 |
| Power Supply | Redundant 3000W Titanium-level power supplies |
| Operating System Support | Ubuntu Linux, Red Hat Enterprise Linux (RHEL) |
| Software Stack | Intel SynapseAI (PyTorch, TensorFlow framework support) |
| Chassis Dimensions | 4U Rackmount |
| Operating Temperature | 10°C to 35°C |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | Intel |
| Category | GPUs |
| SKU | SYS-421GS-TNR |
| Part Number | SYS-421GS-TNR |
| Condition | New |
| Manufacturer Part Number | SYS-421GS-TNR |
| Form Factor | 4U Rack Server |
| AI Accelerator | Intel Gaudi 3 HPU |
| Number of Accelerators | 8 x Intel Gaudi 3 |
| Accelerator Memory Type | HBM2e |
| Accelerator Memory per Card | 96 GB HBM2e |
| Total Accelerator Memory | 768 GB |
| Accelerator Interconnect | On-chip RoCE v2 (21 x 200GbE ports per Gaudi 3) |
| CPU Support | Dual Intel Xeon Scalable (4th Gen, Sapphire Rapids) processors |
| CPU Socket | Socket LGA4677 x2 |
| System Memory Type | DDR5 ECC RDIMM / 3DS RDIMM |
| Memory Slots | 32 x DIMM slots |
| Storage | Front-accessible NVMe/SATA/SAS drive bays |
| Network (System) | Dual 10GBase-T management and data ports |
| PCIe | PCIe 5.0 |
| Power Supply | Redundant 3000W Titanium-level power supplies |
| Operating System Support | Ubuntu Linux, Red Hat Enterprise Linux (RHEL) |
| Software Stack | Intel SynapseAI (PyTorch, TensorFlow framework support) |
| Chassis Dimensions | 4U Rackmount |
| Operating Temperature | 10°C to 35°C |
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.