SKU: 98429768397

Lenovo NVIDIA Tesla V100S Graphic Card - 32 GB - Full-height

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Description

Lenovo NVIDIA Tesla V100S Graphic Card - 32 GB - Full-heightThe Lenovo NVIDIA Tesla V100S Graphic Card delivers powerhouse acceleration for data centers, AI workflows, and high performance computing. Sized for full height enterprise servers, this 32 GB card leverages NVIDIAs advanced Tesla V100S GPU to turbocharge AI training and inference, scientific simulations, and large scale data analytics. With GPU Boost technology, ECC memory protection, and a PCI Express 3. 0 x16 interface, it blends uncompromising

The Lenovo NVIDIA Tesla V100S Graphic Card delivers powerhouse acceleration for data centers, AI workflows, and high-performance computing. Sized for full-height enterprise servers, this 32 GB card leverages NVIDIA’s advanced Tesla V100S GPU to turbocharge AI training and inference, scientific simulations, and large-scale data analytics. With GPU Boost technology, ECC memory protection, and a PCI Express 3.0 x16 interface, it blends uncompromising compute performance with reliability and scalability. This is a purpose-built accelerator designed to handle demanding workloads in multi-tenant environments while maintaining data integrity and operational stability in production systems.

  • GPU Boost for peak performance: The Tesla V100S architecture intelligently scales up GPU clocks to meet the demands of diverse workloads, delivering higher throughput during AI training, deep learning inference, and complex simulations. This dynamic performance tuning helps shorten model training cycles and accelerates real-time analytics, making it ideal for enterprise AI, HPC, and data analytics pipelines.
  • 32 GB ECC memory for data integrity: The card includes Error-Correcting Codes (ECC) memory to protect against data corruption, a critical feature for long-running HPC tasks and mission-critical AI workloads. ECC minimizes compute errors, reduces the need for re-runs, and improves overall reliability in production environments.
  • High-bandwidth PCIe 3.0 x16 interface: Built for data-intensive workloads, the PCI Express 3.0 x16 connection delivers generous bandwidth between the GPU and host server, enabling rapid data movement for large tensors, matrices, and datasets. This interface is essential for multi-GPU configurations and high-throughput workloads in modern data centers.
  • Enterprise-ready, full-height design: Specifically engineered for server and workstation-class deployments, the full-height form factor ensures broad compatibility with Lenovo data center systems and other enterprise servers that support full-height PCIe cards. The robust cooling and build quality are tailored for 24/7 operation in demanding environments.
  • Versatile acceleration for AI, HPC, and analytics: Whether training deep neural networks, performing large-scale simulations, or accelerating data analytics workloads, the V100S delivers exceptional compute density. Combined with NVIDIA software ecosystems (CUDA, cuDNN, TensorRT) and Lenovo's trusted hardware platform, it accelerates a wide array of enterprise workloads while preserving reliability and security in production clusters.

Technical Details of Lenovo NVIDIA Tesla V100S Graphic Card

  • GPU: NVIDIA Tesla V100S
  • Memory: 32 GB HBM2 with ECC
  • Interface: PCI Express 3.0 x16
  • Form factor: Full-height, dual-slot PCIe add-in card
  • Key features: GPU Boost technology and ECC protection for data integrity

How to install Lenovo NVIDIA Tesla V100S Graphic Card

To install this acceleratoр, begin with a powered-down server or workstation. Ground yourself to prevent static discharge, and verify that your system supports a full-height PCIe x16 card in the intended slot. Open the chassis and locate an available PCIe x16 slot, removing any required slot covers. Carefully align the NVIDIA Tesla V100S with the slot, then firmly seat the card to ensure proper contact. Secure the card with the appropriate screw to anchor it in place. If the server requires additional power connectors for the GPU, connect them according to the motherboard and PSU specifications, ensuring cables are routed safely away from fans and other components. After the card is seated and secured, reassemble the chassis and power on the system. Install or update the latest NVIDIA driver and CUDA toolkit compatible with your OS, then validate the GPU in the system management tools. Enable ECC monitoring in your software stack if needed, and run a hardware diagnostic to confirm correct operation. Maintain a proper cooling solution and monitor thermals during initial workloads to ensure stable performance under load. This setup enables your Lenovo system to leverage the full capabilities of the Tesla V100S for AI, HPC, and data analytics workloads.

Frequently asked questions

  • Q: What workloads is the Lenovo NVIDIA Tesla V100S Graphic Card best suited for? A: It is designed for AI training and inference, high-performance computing, large-scale data analytics, and virtualization workloads in enterprise data centers.
  • Q: What memory and reliability features does it include? A: It features 32 GB of ECC-enabled HBM2 memory to protect against data corruption and ensure reliable long-running computations common in HPC and AI tasks.
  • Q: What interface and form factor does this card use? A: The card uses PCI Express 3.0 x16 and comes in a full-height, dual-slot PCIe add-in card suitable for data center servers and workstations that support full-height GPUs.
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