ASRock Rack 4U8G-TURIN2 8-GPU AI Server

The ASRock Rack 4U8G-TURIN2 is a 4U rack-mount server platform engineered around dual AMD EPYC 9005 series (Turin) processors, delivering substantial CPU core density and memory bandwidth to support eight double-width GPU accelerators in a single chassis. The dual-socket design leverages the AMD EPYC 9005 architecture built on the Zen 5 core microarchitecture, providing high per-core performance alongside large last-level cache capacities that reduce data starvation for memory-intensive AI and HPC workloads. The platform connects CPUs and GPUs through high-bandwidth PCIe 5.0 fabric, ensuring accelerator-to-host data transfer rates commensurate with modern large-scale model training demands.

The server accommodates eight full-height, full-length double-width GPU accelerators, making it suited for dense compute deployments running frameworks such as PyTorch and TensorFlow across multi-GPU training jobs. Memory subsystem scalability is provided through a high-count DIMM configuration supporting DDR5 registered ECC memory across both processor sockets, enabling large in-memory dataset handling and reducing reliance on slower storage tiers during training iterations. The chassis design incorporates high-airflow cooling infrastructure to maintain thermal headroom for sustained GPU and CPU operation under continuous workload conditions.

Targeted at enterprise AI infrastructure teams, cloud service providers, and research institutions, the 4U8G-TURIN2 is optimized for large language model (LLM) training, generative AI development, deep learning inference at scale, and high-performance computing simulations. The platform supports standard IPMI-based out-of-band management and is compatible with common enterprise Linux distributions and GPU orchestration stacks, enabling integration into existing data center management workflows without requiring specialized tooling.

Ideal for

• Large language model (LLM) pre-training and fine-tuning requiring multi-GPU parallelism across eight accelerators within a single 4U node
• Generative AI model development including diffusion model training and multimodal foundation model workloads benefiting from high GPU-to-CPU bandwidth via PCIe 5.0
• High-performance computing (HPC) simulations in scientific research, climate modeling, and computational fluid dynamics leveraging dual EPYC 9005 core density alongside GPU acceleration
• Deep learning inference serving for latency-sensitive enterprise AI applications where consolidating multiple GPU instances into a single dense node reduces rack footprint
• Data center GPU cluster node deployment where operators require standardized 4U dual-socket platforms compatible with Kubernetes-based GPU orchestration and IPMI management
• Enterprise AI research environments requiring a scalable, high-memory-bandwidth platform for experimentation with next-generation model architectures and training techniques

Technical specifications

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