HPE ProLiant Compute DL380a Gen12 with NVIDIA H200 NVL Tensor Core GPUs
Enterprise-Scale AI with Ultra-Scalable Performance
The HPE ProLiant Compute DL380a Gen12, part of the NVIDIA AI Computing by HPE portfolio, is designed for enterprises deploying AI at scale. With NVIDIA H200 NVL Tensor Core GPUs, it provides industry-leading performance for AI inferencing, fine-tuning, and high-performance computing (HPC) workloads.
Advanced AI Solutions for Enterprise
As artificial intelligence (AI) transforms industries, enterprise organizations require specialized environments for AI application development and deployment. The HPE ProLiant DL380a Gen12 provides these environments, offering scalability and reliability for AI processes, from model training to inference.
Key Features
- Next-Gen AI Acceleration: Powered by up to 8 NVIDIA® H200 NVL Tensor Core GPUs, delivering up to 2x inferencing speeds compared to NVIDIA H100, and 18x performance versus NVIDIA A100.
- Optimal Power Management: Six dedicated and redundant power supplies ensure reliable GPU performance.
- Security Innovation: Industry-leading security to protect infrastructure, workloads, and data.
Built for Performance and Efficiency
With Intel Xeon 6 processors, the DL380a Gen12 offers high-core density and efficiency, making it ideal for cloud-scale and enterprise workloads. Built-in accelerators boost targeted workloads, enhancing both performance and energy efficiency, while improving rack density for better data center utilization.
Enhanced Management and Monitoring
- HPE iLO 6 for remote server management and updates
- HPE OneView for IT automation across storage, networking, and servers
- HPE GreenLake for Compute Ops for intuitive, cloud-like monitoring and management of distributed compute environments
Fast-Track AI with HPE Private Cloud AI
HPE Private Cloud AI offers a turnkey solution for AI, powered by HPE and NVIDIA technologies. Delivered on HPE GreenLake, it allows enterprises to seamlessly scale AI operations, from small-model pilots to enterprise-level applications, while keeping data secure in a private environment.

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