ASRock Rack 2U2G-MILAN/2T GPU Server

The ASRock Rack 2U2G-MILAN/2T is a 2U rack-mount GPU server built around dual AMD EPYC 7003 series (Milan) processors, delivering high core counts and PCIe 4.0 bandwidth to support demanding GPU-accelerated workloads. The platform accommodates two full-height, full-length double-width GPU cards via dedicated PCIe 4.0 x16 slots, enabling organizations to deploy high-performance accelerators for inference and compute tasks within a space-efficient 2U chassis. Dual 10GbE BASE-T network interfaces are integrated on the motherboard, while the /2T designation reflects this dual 10GbE connectivity configuration.

The server supports up to 16 DDR4 DIMM slots across the dual-socket configuration, accommodating registered ECC memory at speeds supported by the EPYC Milan memory controller. Storage flexibility is provided through multiple 2.5-inch hot-swap drive bays supporting NVMe and SATA, alongside an M.2 slot for OS or caching use. The system is managed through IPMI 2.0-compliant baseboard management with a dedicated management port, enabling out-of-band monitoring and administration consistent with enterprise data center operational requirements.

Positioned as a cost-effective inference node, the 2U2G-MILAN/2T is well suited for organizations deploying GPU inference clusters where per-node GPU count is intentionally limited to two cards to optimize thermal headroom, power draw, and total rack density. The EPYC Milan architecture provides high memory bandwidth and a large number of PCIe lanes natively, reducing bottlenecks between host CPUs and attached accelerators and making this platform a proven foundation for production AI inference, scientific computing, and rendering infrastructure.

Ideal for

• AI and machine learning inference serving, where two discrete GPU accelerators per node deliver throughput-optimized responses at manageable per-node power envelopes
• High-performance computing (HPC) workloads requiring the combined multi-core throughput of dual EPYC Milan CPUs alongside GPU co-processing for simulation and modeling
• Video transcoding and rendering pipelines in media and entertainment environments that benefit from GPU acceleration paired with high CPU core counts
• Dense GPU cluster deployments for enterprise data centers seeking to maximize GPU node count per rack while maintaining 2U form-factor efficiency
• Edge data center and colocation AI inference nodes where standardized 2U server footprint and integrated 10GbE connectivity simplify rack planning and cabling
• Research and academic computing environments requiring a dual-socket EPYC platform with expandable ECC memory and dual GPU support for mixed CPU/GPU workloads

Technical specifications

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