Supermicro GPU Server SYS-421GU-TNX (4x GPU 1U)

The Supermicro SYS-421GU-TNX is a 1U rackmount GPU server engineered for high-density artificial intelligence, machine learning, and HPC workloads demanding maximum GPU compute in a minimal footprint. Built on the Intel Xeon Scalable processor platform, this system accommodates up to four double-width GPU accelerators within a single 1U chassis, an exceptional density achievement made possible through Supermicro's advanced thermal and mechanical design. The system supports PCIe 5.0 connectivity between host processors and GPU slots, delivering the bandwidth necessary to prevent data starvation in inference and training pipelines.

The SYS-421GU-TNX is designed around Supermicro's 4th Generation Intel Xeon Scalable (Sapphire Rapids) dual-socket architecture, providing a large pool of CPU cores, high-bandwidth DDR5 memory channels, and direct PCIe 5.0 fabric interconnect to attached accelerators. The chassis integrates high-static-pressure fans and optimized airflow ducting to sustain full GPU thermal design power under continuous datacenter operation. Power delivery is handled by redundant high-efficiency power supply units supporting the substantial power envelopes that modern GPU accelerators require.

Targeted at enterprise datacenters, cloud service providers, and AI research institutions operating in space-constrained environments, the SYS-421GU-TNX enables organizations across UAE, GCC, EMEA, and APAC to deploy concentrated GPU compute capacity without sacrificing rack density or reliability. The system is compatible with Supermicro's IPMI-based out-of-band management ecosystem, allowing remote monitoring, power control, and health telemetry consistent with enterprise operational standards.

Ideal for

• Large-scale deep learning model training using frameworks such as PyTorch and TensorFlow on high-throughput GPU clusters
• High-density AI inference serving for real-time natural language processing, computer vision, and recommendation engine workloads
• High-performance computing simulations in computational fluid dynamics, molecular dynamics, and financial risk modeling
• Video transcoding and AI-assisted media processing pipelines requiring parallel GPU execution at scale
• Generative AI and large language model fine-tuning in enterprise private cloud and on-premises environments
• Scientific research workflows requiring dense, rack-optimized GPU capacity with full remote management capabilities

Technical specifications

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