Lenovo NVIDIA Tesla V100 Graphic Card – 16 GB: PCIe GPU Accelerator for HPC, AI & Analytics

Experience unmatched performance for data-intensive workloads with the Lenovo NVIDIA Tesla V100 Graphic Card in a 16 GB configuration. Engineered for reliability in enterprise environments, this PCI Express plug-in card delivers rapid analytics, powerful scientific computing, and scalable GPU acceleration that accelerates complex workloads from AI model training to large-scale simulations. Built for data centers, research labs, and advanced engineering workflows, this graphics card combines Lenovo’s enterprise-grade hardware precision with NVIDIA’s time-tested compute capabilities to unlock new levels of throughput and efficiency in your infrastructure.

• 16 GB of high-capacity memory paired with a robust compute engine to handle large datasets, multi-branch neural networks, and memory-intensive simulations. The generous memory footprint helps reduce bottlenecks in data movement, enabling faster model iterations and more accurate analytics across datasets of varying scales.
• Designed for analytics and scientific computing—the Tesla V100 technology is optimized for data-driven workloads. Whether you’re performing deep learning inference, accelerated data processing, or high-performance simulations, this card provides sustained performance, reliability, and precision that research teams and enterprises rely on to meet tight deadlines and scale research pipelines.
• PCI Express interface delivering up to 8 GB/s bandwidth—a critical feature for real-time data throughput. The PCIe connectivity ensures fast data transfer between the GPU and host system, minimizing latency and maximizing joint throughput for memory-bound and compute-bound tasks alike.
• Plug-in Card form factor for easy deployment—designed to fit standard PCIe slots in servers and high-end workstations. Its compact, plug-in design simplifies upgrades, reduces system downtime, and enables seamless integration into existing compute clusters without invasive chassis modification.
• GPU accelerator optimized for enterprise workloads—engineered to sustain heavy-duty workloads with consistent performance. This card excels in multi-user environments and virtualization scenarios, providing a reliable platform for AI research, analytics pipelines, scientific simulations, and other GPU-accelerated tasks that demand predictability and scalability.

Technical Details of Lenovo NVIDIA Tesla V100 Graphic Card - 16 GB

• Model: Lenovo NVIDIA Tesla V100 Graphic Card - 16 GB
• Form Factor: PCI Express Plug-in Card
• Memory: 16 GB high-capacity memory for large-scale datasets and complex computations
• Interface: PCI Express
• Bandwidth: Up to 8 GB/s of concurrent bandwidth for rapid data transfer between host and card
• Designed for: Analytics, scientific computing, AI, and HPC workloads in data centers, labs, and enterprise environments
• Compatibility: Suitable for servers and high-end workstations with standard PCIe slots; requires appropriate power and cooling in line with system specifications

How to Install Lenovo NVIDIA Tesla V100 Graphic Card

• Power down the system, unplug from power, and ground yourself to prevent static discharge. Remove the chassis cover to access the PCIe slots.
• Identify a compatible PCIe slot (preferably a PCIe x16 slot) with adequate clearance and cooling. Ensure your system’s power supply and motherboard support the GPU’s requirements.
• Remove the slot cover on the chassis and align the Tesla V100 card with the slot. Gently but firmly seat the card into the PCIe slot until it is fully seated and the connectors are engaged.
• Secure the card to the chassis with the appropriate screw on the bracket. If the card requires power connectors, connect the necessary PCIe power cables from the power supply per your system’s specifications.
• Replace the chassis cover, reconnect power, and boot the system. Install or update the NVIDIA drivers and CUDA toolkit from NVIDIA’s official site, following your operating system’s guidance.
• Verify the GPU is detected in the operating system’s hardware manager or device manager, and run a CUDA-enabled sample or benchmarking tool to confirm proper functionality and performance.
• Configure any virtualization or resource management settings as needed to optimize multi-user access, job scheduling, or containerized workloads in your environment.

Frequently asked questions

• Q: Is this card suitable for gaming? A: The Lenovo NVIDIA Tesla V100 is purpose-built for data center analytics, AI, and scientific computing. It is not optimized for consumer gaming workloads. For gaming, consumer-grade GPUs are typically more cost-effective and provide better performance-per-dollar for entertainment graphics and mainstream titles.
• Q: What systems is it compatible with? A: It is designed to work with servers and high-end workstations that provide standard PCIe x16 slots and adequate cooling. Compatibility depends on your motherboard specifications, power supply, and chassis design. Always verify slot type, power requirements, and driver support for your operating system before installation.
• Q: How much memory does it have? A: The card comes with 16 GB of memory, enabling efficient handling of large data sets and more advanced models without frequent data transfers between CPU and GPU.
• Q: Do I need special software or drivers? A: Yes. Install NVIDIA drivers and the CUDA toolkit appropriate for your operating system and compute workloads. Enterprise deployment may include driver certification, virtualization, and driver management tooling provided by IT teams or Lenovo/NVIDIA support channels.
• Q: What cooling or power considerations should I plan for? A: High-performance GPUs require adequate cooling and a reliable power supply. Ensure your server or workstation has proper airflow, and that the power supply meets the card’s wattage requirements. In dense data-center environments, consider dedicated GPU liquid or air cooling solutions and compliance with your data-center cooling standards.