NVIDIA M10 Datasheet

The NVIDIA M10 datasheet is a vital document for anyone planning to deploy virtual desktops and applications. It contains comprehensive technical specifications, performance metrics, and configuration guidelines for the NVIDIA M10 GPU, a popular choice for powering virtualized environments. Understanding the information within the NVIDIA M10 datasheet is crucial for optimizing performance, ensuring compatibility, and maximizing the return on investment for virtualization projects.

Decoding the NVIDIA M10 Datasheet The Essentials

The NVIDIA M10 datasheet serves as the primary source of truth about the card’s capabilities. It details the GPU’s architecture (based on the Maxwell generation), memory configuration (typically 32GB of GDDR5 shared across the four GPUs on the card), and the number of CUDA cores. It also outlines the supported virtualization technologies, like NVIDIA GRID vGPU, which allows the physical GPU to be partitioned into multiple virtual GPUs for individual users. This partitioning capability is essential for providing a rich, graphics-accelerated experience to a large number of virtual users. Understanding these fundamental aspects from the datasheet helps admins make informed decisions about workload distribution and resource allocation.

The datasheet goes beyond just the core specifications. It also provides critical information regarding power consumption, thermal design, and physical dimensions. These considerations are vital for ensuring the M10 card can be properly integrated into a server environment and adequately cooled. Furthermore, the datasheet specifies the supported operating systems and hypervisors, which is crucial for ensuring compatibility with existing infrastructure. Some of the key specs often referenced include:

  • GPU Architecture: Maxwell
  • Memory: 32 GB GDDR5 (shared)
  • Maximum Power Consumption: 150W
  • Supported Hypervisors: VMware vSphere, Citrix XenServer, Microsoft Hyper-V

Moreover, the NVIDIA M10 datasheet outlines the performance characteristics of the card under various workloads. While these benchmarks can vary based on the specific application and configuration, they provide a valuable baseline for estimating the number of virtual users that can be supported per card. It also details the supported APIs, such as DirectX and OpenGL, which are essential for ensuring compatibility with a wide range of applications. Here’s a simplified view of the M10’s virtualization capacity:

vGPU Profile Memory per vGPU Maximum Concurrent Users
1GB 1 GB 32
2GB 2 GB 16
4GB 4 GB 8

Ready to dive deeper into the specifics? For the most accurate and up-to-date information, consult the official NVIDIA M10 datasheet. It’s your ultimate resource for maximizing the performance and compatibility of your virtualized environment.