High-Density 4U AI Training Server — 8× NVIDIA HGX H100/H200 with Direct-to-Chip Liquid Cooling
The SYS-421GE-TNHR2-LCC delivers Supermicro's highest-density AI training in a 4U chassis — 8 NVIDIA HGX H100 (80GB) or H200 (141GB) SXM GPUs with direct-to-chip (D2C) liquid cooling for reduced power consumption and higher sustained GPU clock rates. Dual 5th/4th Gen Intel Xeon Scalable CPUs, up to 8TB DDR5, PCIe 5.0, and 4× 5,250W Titanium power supplies. Requires complete liquid-cooled rack integration.
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The SYS-421GE-TNHR2-LCC uses Supermicro's Direct-to-Chip (D2C) cold plate technology, circulating liquid coolant directly over CPU and GPU heat spreaders. This removes 60–70% of heat via liquid loop rather than air, enabling higher sustained GPU boost clocks and dramatically reducing data centre cooling energy (PUE). System requires integration with a liquid-cooled rack — Supermicro offers complete rack solutions for turnkey deployment.
The H200 SXM option provides 141GB of HBM3e per GPU (1,128GB total across 8 GPUs) with 4.8 TB/s memory bandwidth per GPU. For LLM training and inference, this expanded memory capacity means 70B and 405B parameter models can run with fewer model-parallel splits, increasing GPU utilisation efficiency. NVIDIA NVLink 4.0 with NVSwitch provides 900 GB/s all-to-all GPU bandwidth within the node.
Two 5th or 4th Gen Intel Xeon Scalable processors (LGA-4677, up to 64 cores/128 threads, up to 385W TDP with liquid cooling) connect to all 8 GPUs via PCIe 5.0 x16 — delivering 128 GB/s bidirectional per GPU for dataset ingestion, gradient accumulation, and checkpoint I/O. The 32-DIMM DDR5 subsystem supports up to 8TB at 4400MT/s (2DPC) or 4TB at 5600MT/s (1DPC).
Silicon Root of Trust (hardware-anchored) validates all firmware at boot via cryptographic attestation per NIST SP 800-193. Secure Boot, cryptographically signed firmware, automatic firmware recovery, and supply chain remote attestation combine with runtime BMC protections and system lockdown capabilities — meeting enterprise and government security requirements for AI infrastructure.
Supermicro's JumpStart programme provides qualified customers with free, time-boxed bare-metal SSH/VNC/IPMI access to fully configured SYS-421GE-TNHR2-LCC systems for workload validation, benchmarking, and pre-purchase testing. This enables empirical performance validation against real production workloads before committing to procurement — with no NDAs or shared environments.
Supermicro offers complete liquid-cooled rack solutions incorporating the SYS-421GE-TNHR2-LCC alongside InfiniBand switching, rack-level power distribution, and liquid cooling distribution units (CDUs). This turnkey approach reduces integration complexity for AI factory deployments — enabling faster time-to-production for multi-rack AI training clusters.
The Supermicro SYS-421GE-TNHR2-LCC is a 4U liquid-cooled AI Training SuperServer designed for hyperscale AI training deployments where cooling density and energy efficiency are primary constraints. Packing 8 NVIDIA HGX H100 (80GB) or H200 (141GB) SXM GPUs into a 4U chassis with direct-to-chip liquid cooling, it delivers maximum GPU density per rack unit while operating at higher sustained clock rates than air-cooled alternatives.
Liquid cooling is implemented via Supermicro's Direct-to-Chip (D2C) cold plate technology — circulating coolant directly over CPU and GPU heat spreaders rather than relying on airflow through the chassis. This removes the majority of heat via the liquid loop, substantially reducing the data centre's cooling burden and enabling deployment in high-density racks (30–60kW per rack) that air-cooled systems cannot support.
The system requires complete liquid-cooled rack integration, which Supermicro offers as a turnkey rack solution. This requirement is by design — the D2C system is optimised for rack-scale AI factory deployments rather than individual server additions to mixed-cooling environments. JumpStart remote access allows pre-purchase workload validation without on-site infrastructure commitment.
Security and manageability features match enterprise-grade requirements: NIST 800-193 compliant Silicon Root of Trust, cryptographically signed firmware, Secure Boot, supply chain remote attestation, and an integrated BMC with IPMI 2.0. The platform supports Supermicro's SuperDoctor monitoring software alongside third-party BMC integrations for data centre management platforms.
The SYS-421GE-TNHR2-LCC is purpose-built for frontier model pre-training at rack scale. Liquid cooling enables sustained high GPU clock rates; D2C efficiency allows higher rack density (multiple 4U nodes per rack versus 8U air-cooled). Combined with NDR InfiniBand NICs for node-to-node communication, clusters of these systems achieve the compute density required for training 70B–405B parameter models.
For organisations building dedicated AI training infrastructure — AI factories — the SYS-421GE-TNHR2-LCC's rack-scale liquid cooling integration aligns with the AI factory architecture. High GPU density per rack, consistent sustained performance, and integrated supply chain security make it suitable for building private AI infrastructure at the scale of large cloud providers.
H100/H200 SXM GPUs provide best-in-class FP64 double-precision performance (4.0 TFLOPS per GPU) for scientific computing. The liquid-cooled chassis sustains peak performance continuously — important for long-running HPC jobs where thermal throttling in air-cooled systems degrades effective throughput over multi-hour simulation runs.
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