Supermicro A40 GPU Add-in Board 1-300-100-008

The Supermicro A40 GPU Add-in Board (part number 1-300-100-008) is built on NVIDIA's Ampere architecture, delivering professional-grade compute and visualization performance for enterprise data centers. Featuring 48 GB of ECC-protected GDDR6 memory across a 384-bit memory interface, the A40 provides the large memory capacity required for complex AI inference, deep learning training, and high-fidelity virtual workstation deployments. With a TDP of 300 W and a full-height, full-length dual-slot PCIe 4.0 x16 form factor, the board is engineered for sustained throughput in rack-mounted server environments.

The A40 integrates 10,752 CUDA cores, 336 third-generation Tensor Cores, and 84 second-generation RT Cores, enabling simultaneous support for compute-intensive AI pipelines and real-time ray-traced graphics rendering. Its multi-instance capability and NVIDIA Virtual GPU (vGPU) software support allow IT administrators to partition a single physical GPU into multiple isolated virtual GPU instances, maximizing utilization across concurrent enterprise users and containerized workloads. NVLink bridge connectivity supports multi-GPU configurations, scaling memory and bandwidth for larger model training runs.

As a Supermicro-branded add-in board, this product is validated and integrated within Supermicro's broad portfolio of GPU-optimized server platforms, ensuring verified compatibility, thermal management, and system-level reliability for production data center deployments. The A40 is well-suited to organizations in the AI, media and entertainment, engineering simulation, and cloud service provider segments that demand a unified professional compute and visualization GPU at enterprise scale.

Ideal for

• Large-scale AI inference serving and batch deep learning model training requiring 48 GB of high-bandwidth GPU memory
• Enterprise virtual workstation deployments using NVIDIA vGPU software to deliver GPU-accelerated desktops to remote engineering and creative professionals
• Real-time ray-traced rendering and visualization for digital content creation, broadcast, and media production pipelines
• Computational fluid dynamics, finite element analysis, and other HPC simulation workloads running within Supermicro GPU server platforms
• Cloud service provider multi-tenant GPU virtualization environments leveraging multi-instance partitioning for isolated user workloads
• Edge AI and enterprise inference appliances requiring a full-height PCIe 4.0 GPU with passive cooling and high memory capacity in rack-dense deployments

Technical specifications

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