ASUS RS740-E11-RS24U 24-Bay GPU Server

The ASUS RS740-E11-RS24U is a 4U rack-mounted GPU server engineered for high-density artificial intelligence, machine learning, and high-performance computing workloads. Built on the ASUS Server Platform Generation 11 architecture and supporting dual 4th Gen Intel Xeon Scalable processors, the RS740-E11-RS24U delivers the compute density and I/O bandwidth required for large-scale model training, inference acceleration, and parallel scientific computing. Its 24-bay storage configuration provides ample capacity for data-intensive pipelines without sacrificing GPU throughput or airflow efficiency.

The system accommodates up to four double-width GPU accelerators, enabling datacenter operators to deploy NVIDIA or other PCIe Gen 5 compatible accelerators within a single 4U chassis footprint. High-bandwidth PCIe Gen 5 interconnects minimize bottlenecks between the host CPUs and accelerator cards, while the platform supports DDR5 memory across 32 DIMM slots, allowing up to 8TB of system memory to feed data-hungry AI frameworks at scale. Dual-port OCP 3.0 networking and multiple PCIe expansion slots further extend the server's connectivity and flexibility for complex datacenter fabrics.

Designed for demanding enterprise datacenter environments in regions including the UAE, GCC, EMEA, and APAC, the RS740-E11-RS24U integrates ASUS ASMB11-iKVM out-of-band management, redundant hot-swap power supplies, and tool-less drive bays to support continuous operations and rapid maintenance cycles. The chassis engineering prioritizes optimized airflow and thermal management to sustain GPU and CPU performance under sustained workloads, making it a practical foundation for AI infrastructure, cloud-native services, and enterprise HPC clusters.

Ideal for

• Large-scale deep learning model training using multi-GPU configurations for computer vision, NLP, and generative AI workloads
• High-throughput AI inference serving for real-time enterprise applications requiring low-latency GPU acceleration
• High-performance computing clusters for scientific simulation, computational fluid dynamics, and genomics research
• Data analytics and GPU-accelerated database query processing at enterprise and cloud datacenter scale
• Rendering and visualization pipelines for media, simulation, and digital twin platforms requiring dense GPU resources
• Hyperconverged AI infrastructure deployments requiring combined high-capacity NVMe/SAS storage and GPU compute in a space-efficient 4U form factor

Technical specifications

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