NVIDIA A100 40GB PCIe Gen4 Passive GPU for HPE ProLiant

The NVIDIA A100 40GB PCIe Gen4 GPU for HPE ProLiant (P40429-B21) is built on NVIDIA's Ampere architecture, delivering third-generation Tensor Core technology that accelerates mixed-precision AI training and inference workloads at datacenter scale. The 40GB HBM2e memory subsystem provides 1,555 GB/s of memory bandwidth, enabling large-model training and high-throughput inferencing that would otherwise require multiple previous-generation accelerators. PCIe Gen4 host connectivity ensures the card integrates cleanly into HPE ProLiant server platforms without the NVLink or NVSwitch fabric requirements of SXM form-factor variants, simplifying rack-level deployment.

Designed as a passive-cooled accelerator, the A100 PCIe relies on the managed airflow infrastructure of HPE ProLiant rack servers, making it well-suited for controlled datacenter environments where chassis-level cooling is already optimized for high-density compute. The card's 300W TDP is handled entirely through system airflow, eliminating the noise and mechanical complexity of onboard fans while maintaining full sustained performance under continuous workload. Multi-Instance GPU (MIG) technology allows the A100 to be partitioned into as many as seven isolated GPU instances, each with dedicated memory, cache, and compute resources, giving operators fine-grained control over workload isolation and resource utilization in shared or multi-tenant environments.

As an HPE factory-integrated option, P40429-B21 is validated against HPE ProLiant Gen10 Plus and Gen11 server platforms, with HPE iLO-based manageability and compatibility with HPE's software ecosystem including support through HPE Pointnext services infrastructure. The combination of Ampere Tensor Cores, structural sparsity acceleration, and NVLink-capable die (in multi-GPU PCIe topologies via NVLink Bridge where supported) positions this GPU for demanding workloads spanning HPC simulation, large language model development, and real-time analytics pipelines.

Ideal for

• Large-scale deep learning model training for natural language processing, computer vision, and recommendation systems in enterprise AI research environments
• High-throughput AI inference serving for production deployments requiring low-latency responses across multiple concurrent models or tenants using MIG partitioning
• High-performance computing simulation workloads in scientific research, computational fluid dynamics, and molecular dynamics requiring FP64 double-precision throughput
• Data analytics acceleration for large in-memory datasets in financial services, genomics, and telemetry processing pipelines
• Multi-tenant GPU virtualization in private cloud and VDI infrastructure where workload isolation and resource partitioning per department or project team is required
• Generative AI and foundation model fine-tuning workflows in enterprise datacenters running HPE ProLiant-based GPU compute clusters

Technical specifications

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