Lenovo ThinkSystem NVIDIA A2 16GB PCIe GPU

The Lenovo ThinkSystem NVIDIA A2 16GB PCIe GPU (4X67A72493) is built on NVIDIA's Ampere architecture, delivering a dense combination of FP32, TF32, and INT8 compute within a low-profile, single-slot PCIe Gen 4 form factor. With 16 GB of GDDR6 memory and 250 GB/s memory bandwidth, the A2 provides the memory capacity and throughput necessary for inference workloads, virtualized desktop environments, and edge AI deployments where power envelope and physical space are constrained. Its 60W TDP makes it compatible with a broad range of ThinkSystem rack servers without requiring supplemental power connectors.

Engineered for enterprise inference at scale, the A2 leverages NVIDIA's third-generation Tensor Cores to accelerate matrix operations that underpin modern deep learning models. Support for NVIDIA Multi-Instance GPU (MIG) partitioning allows the card to be subdivided into up to seven independent GPU instances, enabling fine-grained resource allocation across multiple concurrent workloads or virtual machines. This makes the A2 particularly well-suited for shared infrastructure environments where predictable, isolated performance per tenant is essential.

As a Lenovo ThinkSystem-validated component, the A2 GPU is tested and qualified for integration into ThinkSystem server platforms, ensuring firmware compatibility, thermal management alignment, and support through Lenovo's XClarity management ecosystem. The card supports NVIDIA Virtual GPU (vGPU) software, enabling GPU-accelerated virtual workstations and virtual applications across enterprise virtualization platforms including VMware vSphere and Citrix Hypervisor. Omnixon Global supplies this GPU to enterprise and public-sector customers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• AI inference serving for natural language processing, image classification, and recommendation engine models in production data center environments
• GPU-accelerated virtual desktop infrastructure (VDI) deployments providing graphically rich workstations to distributed enterprise users via NVIDIA vGPU software
• Edge AI and intelligent video analytics at branch offices or industrial sites where a low-power, compact GPU form factor is required
• Multi-tenant cloud service provider environments leveraging MIG partitioning to deliver isolated GPU compute slices to multiple customers from a single card
• Scientific computing and simulation workloads in research institutions requiring reliable FP32 and FP16 throughput within tight power budgets
• Medical imaging and healthcare AI applications including computer-aided detection and DICOM image processing on ThinkSystem server infrastructure

Technical specifications

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