ASRock Rack 4U4N-F/IPMI Quad-Node 4U GPU-Ready Server Chassis

The ASRock Rack 4U4N-F/IPMI is a high-density quad-node server platform housed in a compact 4U form factor, designed to consolidate four independent compute nodes within a single chassis footprint. Each node supports dual-socket architecture with full PCIe 5.0 expansion, enabling GPU acceleration for machine learning, scientific computing, and inference deployments. The integrated Baseboard Management Controller (BMC) with IPMI 2.0 support provides out-of-band management, environmental monitoring, and remote power control across all four nodes simultaneously.

The platform is architected for workloads demanding both computational density and thermal efficiency, with optimized airflow design and redundant power supply options. Each node maintains independent storage connectivity, network isolation, and operating system deployment capability, allowing flexible resource allocation and multi-tenant isolation within the same physical footprint. GPU expansion support accommodates high-bandwidth accelerator cards (NVIDIA H100, A100, AMD MI300X series) for compute-intensive AI training and inference pipelines, making it particularly suited for batch processing and distributed learning architectures.

Launched in Q2 2024, the 4U4N-F/IPMI addresses the surge in AI/ML adoption across academic institutions, cloud service providers, and enterprise research divisions seeking cost-effective solutions for GPU-accelerated computing without scaling physical datacenter footprint. The quad-node architecture delivers approximately 4x the compute density of comparable dual-node offerings while maintaining industry-standard cooling, power distribution, and management protocols.

Ideal for

• Large language model training and fine-tuning clusters in academic research institutions and cloud providers
• Distributed AI inference workloads serving multiple concurrent ML models with GPU acceleration per node
• High-performance computing (HPC) simulations requiring parallel GPU-accelerated processing across multiple independent compute instances
• Quantum simulation and molecular dynamics research leveraging quad-node density for parameter sweep and ensemble computing
• Machine vision and video analytics pipelines processing multiple data streams in parallel with independent GPU resources per node
• Multi-tenant GPU cloud infrastructure where isolated node allocation ensures workload segregation and resource guarantees

Technical specifications

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