Lenovo ThinkSystem NVIDIA V100S 32GB PCIe GPU

The Lenovo ThinkSystem NVIDIA V100S 32GB PCIe GPU (4X67A14522) is a high-performance accelerator built on NVIDIA's Volta architecture, engineered specifically for demanding enterprise AI, deep learning, and high-performance computing environments. Featuring 32GB of HBM2 memory with a 1024 GB/s memory bandwidth, the V100S delivers exceptional throughput for large-scale model training and complex scientific simulations. Its 640 Tensor Cores accelerate mixed-precision matrix operations, enabling significantly faster convergence in deep neural network training compared to previous-generation accelerators.

Designed to integrate seamlessly into Lenovo ThinkSystem server platforms, this PCIe form factor GPU offers enterprise-grade reliability with support for NVLink interconnect for multi-GPU scaling and full compatibility with major deep learning frameworks including TensorFlow, PyTorch, and MXNet. The V100S supports both FP64, FP32, FP16, and INT8 precision modes, allowing data science and HPC teams to optimize compute utilization across a wide spectrum of workload types without hardware changes.

As a Lenovo-validated and Lenovo-supported component, the ThinkSystem NVIDIA V100S 32GB PCIe GPU is available through Omnixon Global for enterprise buyers across the UAE, GCC, EMEA, and APAC regions. Its combination of large HBM2 memory capacity, Tensor Core acceleration, and proven Volta-generation compute density makes it a strong foundation for organizations building or expanding GPU compute clusters, AI inference infrastructure, or data analytics platforms.

Ideal for

• Large-scale deep learning model training for computer vision, natural language processing, and recommendation systems in enterprise AI pipelines
• High-performance computing (HPC) workloads including computational fluid dynamics, molecular dynamics simulation, and seismic analysis
• AI inference at scale for real-time and near-real-time enterprise applications requiring high throughput and low latency
• Data analytics acceleration for large in-memory datasets processed through GPU-accelerated frameworks such as RAPIDS
• Multi-GPU datacenter cluster builds requiring PCIe-based GPU nodes with NVLink support for scalable parallel compute
• Scientific research and simulation workloads in government, energy, and academic datacenter environments requiring FP64 double-precision compute

Technical specifications

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