HPE ProLiant DL560 Gen11 NVIDIA L4 24GB 4-GPU Configure-to-Order Server

The HPE ProLiant DL560 Gen11 NVIDIA L4 24GB 4-GPU Configure-to-Order Server (P60635-B21) is a high-density, 4-socket 2U rack server engineered to deliver exceptional compute performance for AI inference, data analytics, and enterprise virtualization workloads. Powered by up to four 5th Generation Intel Xeon Scalable processors and integrating four NVIDIA L4 Tensor Core GPUs — each equipped with 24GB of GDDR6 memory — the platform provides substantial parallel processing throughput within a thermally efficient, low-profile form factor. The NVIDIA L4 GPU is built on the Ada Lovelace architecture and delivers high-efficiency inference acceleration, supporting FP32, TF32, FP16, BF16, INT8, and INT4 precisions to satisfy a broad range of AI and machine learning pipeline requirements.

The DL560 Gen11 chassis supports high-bandwidth memory and I/O subsystems designed to minimize bottlenecks when feeding multiple GPUs simultaneously. HPE's Compute Scale-Up architecture on the DL560 platform enables coherent multi-socket memory pooling, making it well suited for large-model inference and memory-intensive data processing tasks. The server integrates HPE iLO 6 baseboard management for comprehensive out-of-band management, firmware lifecycle control, and security capabilities including Silicon Root of Trust — meeting the governance and compliance requirements of modern enterprise data centers in regulated industries.

Offered as a Configure-to-Order (CTO) solution, the HPE ProLiant DL560 Gen11 4-GPU server allows IT architects to tailor processor, memory, storage, and networking configurations to precise workload demands. The platform is validated for deployment across hyperscale data centers, enterprise AI infrastructure, and cloud-native environments, and is available through Omnixon Global for buyers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• AI inference serving for large language models (LLMs) and generative AI applications requiring multi-GPU parallelism and high memory bandwidth
• Enterprise machine learning pipeline acceleration including real-time video analytics, natural language processing, and recommendation engine scoring
• High-density server virtualization consolidating multiple VM workloads across four processors with GPU-accelerated compute offload
• Data analytics and business intelligence workloads leveraging GPU-accelerated query processing and in-memory data operations
• Healthcare and life sciences imaging AI, including radiology inference and genomic data processing requiring compliant, on-premises GPU infrastructure
• Edge-to-core AI model deployment in telecommunications, financial services, and manufacturing sectors requiring validated, enterprise-grade GPU servers

Technical specifications

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