Supermicro SYS-421GE-TNHRT 4U 4x Gaudi 2 OAM Server

The Supermicro SYS-421GE-TNHRT is a purpose-built 4U rack server integrating four Intel Gaudi 2 OAM (Open Accelerator Module) accelerators, engineered for large-scale deep learning training and high-throughput AI inference workloads. The system is built around Intel's Gaudi 2 architecture, which delivers substantial matrix multiplication throughput via dedicated Tensor Processor Cores (TPC), making it well-suited for transformer-based model training, natural language processing, and computer vision at scale. Each Gaudi 2 OAM module features 96 GB of HBM2E memory, providing the on-device memory capacity required for hosting and training large language models and multi-modal AI frameworks.

The server platform supports dual 4th Gen Intel Xeon Scalable processors (Sapphire Rapids) and accommodates high-bandwidth DDR5 system memory across 32 DIMM slots. Inter-accelerator communication is handled through Gaudi 2's integrated 24-port 100 GbE RoCE fabric, enabling scale-out across multiple nodes without reliance on external InfiniBand switches for intra-cluster connectivity. The SYS-421GE-TNHRT also provides high-speed external network connectivity via onboard 10GBase-T management and data interfaces, with PCIe Gen 5 expansion for additional I/O flexibility.

Designed for enterprise datacenter deployment, the SYS-421GE-TNHRT conforms to standard 4U rack form factor and incorporates Supermicro's redundant power supply architecture and hot-swap storage bays to support continuous availability requirements. The system is compatible with the Intel Gaudi software ecosystem, including the SynapseAI SDK, and integrates with popular AI frameworks such as PyTorch and TensorFlow through Intel-maintained software bridges, enabling enterprise AI teams to adopt the platform within existing MLOps pipelines with minimal rearchitecting.

Ideal for

• Large language model (LLM) pre-training and fine-tuning at scale, including transformer architectures such as GPT-class and BERT-class models
• High-throughput AI inference serving for enterprise NLP, recommendation systems, and computer vision applications in production datacenter environments
• Multi-node distributed deep learning training leveraging Gaudi 2's native 100 GbE RoCE scale-out fabric for dense GPU cluster configurations
• Generative AI model development and experimentation requiring large aggregate HBM capacity across multiple accelerators within a single chassis
• Enterprise MLOps pipeline integration for organizations standardizing on Intel-based AI infrastructure with PyTorch or TensorFlow workloads
• Datacenter consolidation of AI training workloads onto a validated, rack-optimized platform with redundant power and hot-swap serviceability

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.