4U GPU Supermicro Rack Server SYS-420GP-TNAR With Dual Intel Xeon Scalable Processors

The Supermicro SYS-420GP-TNAR is a high-density 4U rack-mount server purpose-built for AI training, deep learning, high-performance computing (HPC), and large-scale data analytics. It delivers exceptional performance, scalability, and reliability for compute-intensive workloads, making it an ideal choice for modern data centers and AI research labs.

• Dual 3rd Gen Intel® Xeon® Scalable Processors (Socket P+/LGA-4189)
  • Supports up to 40 cores/80 threads per CPU, 60MB cache, and 270W TDP (air-cooled)
  • Intel® C621A chipset for enterprise-grade stability
• Massive Memory Capacity
  • 32 DIMM slots (16 per CPU)
  • Up to 8TB ECC DDR4 (3200/2933/2666 MT/s, RDIMM/LRDIMM)
  • Supports Intel® Optane™ Persistent Memory 200 series (up to 8TB PMEM, 12TB total with DRAM)
• Unmatched GPU Acceleration
  • Up to 8× NVIDIA HGX A100 SXM4 GPUs (80GB) onboard
  • 10× PCIe Gen 4.0 x16 low-profile slots for flexible GPU/accelerator expansion
  • Optimized for NVIDIA NVLink® high-speed GPU interconnect
• Flexible Storage Options
  • 6× 2.5” hot-swap NVMe/SATA/SAS drive bays (front-accessible)
  • 2× M.2 NVMe/SATA slots (boot drives only, onboard)
  • RAID 0/1/5/10 support for data redundancy
• Enterprise Networking & Management
  • AIOM/OCP 3.0 support for modular, high-speed networking
  • 2× 10GbE RJ45 ports (Intel® X550-AT2, optional)
  • Integrated IPMI 2.0 + KVM/IP for remote management
  • Supermicro SuperDoctor® 5, SuperCloud Composer® for system monitoring
• Efficient Cooling & Power
  • 4× heavy-duty, variable-speed fans (optimal thermal control, high airflow)
  • 4× 2200W redundant Titanium-level (96%+) power supplies (2+2 redundancy)
  • Optional 3000W PSUs for higher GPU power demands (SYS-420GP-TNAR+ variant)

• AI & Deep Learning Training: Large language models (LLMs), computer vision, neural network training
• High-Performance Computing (HPC): Scientific computing, finite element analysis, computational fluid dynamics
• Big Data Analytics: Distributed computing frameworks (Spark, Hadoop), real-time data processing
• Virtualization & Cloud: High-density virtual machines, containerization (Kubernetes), cloud infrastructure