NVIDIA A2 16GB PCIe Gen4 Low-Profile GPU for HPE ProLiant DL360

The NVIDIA A2 16GB PCIe Gen4 Low-Profile GPU for HPE ProLiant DL360 (P40227-B21) is a factory-integrated, HPE-qualified accelerator built on the NVIDIA Ampere architecture. Delivering 250 TOPS of INT8 inference performance and 16 GB of GDDR6 memory, the A2 is purpose-engineered for dense, power-efficient AI inference workloads in space-constrained 1U rack environments. Its low-profile, single-slot form factor and 60 W TDP enable deployment without auxiliary power connectors, making it an operationally straightforward accelerator for high-density data center configurations.

The A2's Ampere GPU architecture incorporates third-generation Tensor Cores that support a broad range of precisions—FP32, TF32, FP16, BF16, INT8, and INT4—giving enterprise teams flexibility to optimize inference pipelines across diverse AI frameworks including TensorRT, ONNX Runtime, and Triton Inference Server. The 16 GB GDDR6 frame buffer accommodates large model deployments and concurrent multi-model serving without memory bottlenecks, while PCIe Gen4 host connectivity delivers the bandwidth headroom required for real-time data ingestion pipelines.

As an HPE-qualified option for the ProLiant DL360 Gen10 Plus platform, the P40227-B21 is validated through HPE's system integration process, ensuring compatibility with HPE iLO management, HPE OneView, and the broader HPE infrastructure ecosystem. This qualification reduces integration risk for enterprise IT teams managing standardized server fleets and simplifies lifecycle operations including firmware updates and health monitoring through existing HPE management toolchains.

Ideal for

• Real-time AI inference at the network edge or in colocation facilities where rack space and power budgets are constrained
• Natural language processing and conversational AI model serving in enterprise application stacks requiring low-latency responses
• Computer vision inferencing for manufacturing quality control, retail analytics, and physical security platforms
• Multi-model concurrent inference hosting using NVIDIA Triton Inference Server to maximize accelerator utilization across business units
• Healthcare imaging AI inference workloads such as medical image classification and anomaly detection in clinical data pipelines
• Telecommunications and financial services fraud detection requiring high-throughput, low-latency INT8 inference on structured data streams

Technical specifications

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