SKU: 31089598669

Cisco NVIDIA Tesla M10 Graphic Card

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Description

Cisco NVIDIA Tesla M10 Graphic CardThe Cisco NVIDIA Tesla M10 Graphic Card is an enterprisegrade GPU accelerator designed to elevate compute and virtualization capabilities within data centers. Built to power demanding virtual desktop infrastructure (VDI) and highperformance computing (HPC) workloads, this card merges Ciscos focus on reliability and manageability with NVIDIAs proven multiGPU architecture. Ideal for organizations pursuing dense GPU virtualization, accelerated design

The Cisco NVIDIA Tesla M10 Graphic Card is an enterprise‑grade GPU accelerator designed to elevate compute and virtualization capabilities within data centers. Built to power demanding virtual desktop infrastructure (VDI) and high‑performance computing (HPC) workloads, this card merges Cisco’s focus on reliability and manageability with NVIDIA’s proven multi‑GPU architecture. Ideal for organizations pursuing dense GPU virtualization, accelerated design environments, and scalable shared graphics, the Tesla M10 enables seamless delivery of graphics‑intensive applications to virtual desktops while maintaining security, efficiency, and simplified administration. Engineered for data centers, it helps IT teams consolidate workloads, improve user experience, reduce latency, and optimize resource utilization across large user populations and compute clusters.

  • Optimized VDI performance with multi‑GPU acceleration: Designed to deliver responsive, high‑quality graphics across large numbers of virtual desktops, the Tesla M10 combines four GPUs on a single card to support GPU‑accelerated virtualization, enabling smoother remote workloads and more consistent user experiences.
  • Enterprise‑grade reliability and manageability: Cisco’s data‑center oriented hardware philosophy pairs with NVIDIA’s proven GPU technology to offer robust error handling, streamlined deployment, and centralized management—facilitating predictable performance in mission‑critical environments.
  • Seamless integration with Cisco data center ecosystems: This graphics card is engineered to fit into Cisco server ecosystems and virtualization workflows, enabling cohesive integration with Cisco UCS and related management tools to simplify provisioning, monitoring, and performance tuning.
  • High‑density HPC and design workloads: Beyond VDI, the Tesla M10 accelerates compute‑intensive tasks such as 3D rendering, simulations, and complex data analytics, delivering tangible improvements in throughput for HPC pipelines and design reviews.
  • Efficient power and data center optimization: Built with data‑center efficiency in mind, the M10 card aims to maximize performance per watt and minimize space and cooling requirements, supporting scalable GPU deployments while helping reduce total cost of ownership for GPU‑aware workloads.

Technical Details of Cisco NVIDIA Tesla M10 Graphic Card

  • UPC/SKU: Not specified in the provided product details
  • GPU architecture: NVIDIA Tesla M10 (enterprise‑class multi‑GPU acceleration)
  • Memory configuration: High‑capacity graphics memory distributed across multiple GPUs (typical configurations support substantial GPU memory for virtualized workloads)
  • Interface: PCI Express (PCIe) compatible Add‑In Card for data center servers
  • Form factor: Data‑center‑oriented accelerator card designed for integration with Cisco server platforms

How to install Cisco NVIDIA Tesla M10 Graphic Card

Installing the Cisco NVIDIA Tesla M10Graphic Card in a supported data center server involves careful preparation and adherence to data‑center best practices. Start by powering down the server, grounding yourself to avoid static discharge, and verifying compatibility with your server model and PCIe slot configuration. Open the chassis and locate an appropriate PCIe x16 (or recommended slot) expansion slot, ensuring adequate clearance and airflow for cooling. Install the M10 card firmly into the PCIe slot, and if the card requires additional power connectors, attach them from the server power supply as specified by Cisco’s hardware guidelines. Reassemble the chassis and power the system back on. Install or update NVIDIA drivers and Cisco‑provided virtualization software or management tools to enable GPU virtualization features, vGPU profiles, and performance monitoring. Finally, configure your VDI or HPC workloads, assign resources to guest machines, and run validation tests to confirm stable operation and expected performance levels. For ongoing maintenance, monitor thermal performance and driver updates through Cisco and NVIDIA resources, and adhere to Cisco’s patching and support recommendations to ensure reliability in production environments.

Frequently asked questions

  • Q: What workloads is the Cisco NVIDIA Tesla M10 Graphic Card best suited for?

    A: It is designed to excel in virtual desktop infrastructure (VDI) environments and HPC workflows, delivering GPU acceleration for graphics‑intensive applications, multi‑user virtual desktops, and compute‑dense tasks.

  • Q: How does this card support virtualization?

    A: The Tesla M10 provides multi‑GPU resources that can be allocated to virtual machines via NVIDIA vGPU technology, enabling efficient sharing of GPU power across many sessions while maintaining isolation and security.

  • Q: Is this card compatible with Cisco server platforms?

    A: Yes, it is designed to integrate with Cisco data center hardware ecosystems and management workflows, contributing to streamlined deployment and operational efficiency.

  • Q: What kind of performance improvements can I expect?

    A: Organizations typically experience improved desktop graphics quality, smoother multi‑session experiences, faster compute tasks, and enhanced throughput for rendering, simulations, and data analysis, depending on workload profiles and virtual machine configurations.

  • Q: How should I plan for power, cooling, and maintenance?

    A: Plan for adequate PCIe slot availability, proper power provisioning for GPU acceleration, and robust cooling within your server chassis. Regular driver updates and adherence to Cisco/NVIDIA maintenance guides help ensure stability and maximum performance over time.

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Not expensive
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