900-22405-0100-030 Nvidia 32GB GDDR5 Tesla M10 PCI-e x16 GPU Graphics Card

Nvidia Tesla M10 The Pinnacle of Graphics Card

Where the Tesla M10 Fits in Nvidia Product Ecosystem

The Nvidia Tesla M10, specifically identified by part number 900-22405-0100-030, represents a specialized category of professional graphics accelerators designed exclusively for virtualized environments. Unlike consumer-grade GeForce cards or workstation-focused Quadro solutions, the Tesla M10 belongs to Nvidia data center GPU portfolio, engineered specifically for server deployment and multi-user access scenarios. This 32GB GDDR5 PCI-e x16 graphics card delivers exceptional density and efficiency for graphics-intensive virtual desktop infrastructure (VDI) implementations.

Nvidia Virtual GPU (vGPU) Technology

The Tesla M10's core value proposition centers around Nvidia groundbreaking vGPU technology, which enables multiple virtual machines to simultaneously share direct access to a single physical GPU. This revolutionary approach transforms how organizations deploy graphics-accelerated applications across their enterprise, allowing for centralized management of GPU resources while maintaining isolation between users. The M10 represents one of the most density-optimized solutions in this category, capable of supporting significantly more users per GPU than competing solutions.

Architectural Foundation Maxwell GM107

Built upon Nvidia efficient Maxwell architecture (specifically the GM107 GPU), the Tesla M10 delivers an optimal balance of performance and power consumption. While not the latest architecture available, Maxwell proved exceptionally power-efficient, making it ideal for high-density server deployments where thermal design power (TDP) and electricity consumption directly impact operational costs. The architecture includes dedicated hardware components for virtualization, ensuring minimal overhead when partitioning the GPU across multiple user sessions.

Technical Specifications Deep Dive

The 900-22405-0100-030 Tesla M10's substantial 32GB of GDDR5 memory represents one of its most significant differentiators in the virtualized graphics market. This generous memory allocation is partitioned across the card's four independent GPU complexes, with each complex containing 8GB of dedicated memory. The 256-bit memory interface delivers ample bandwidth for demanding professional applications, while the GDDR5 technology provides proven reliability essential for data center environments where uptime is critical.

Memory Allocation Profiles

Nvidia vGPU software enables flexible memory allocation through predefined profiles, allowing administrators to match GPU resources to specific user requirements. The 900-22405-0100-030 Tesla M10 supports profiles ranging from 512MB for basic office productivity applications to 2GB or more for power users running CAD, 3D modeling, or scientific visualization software. This granular control ensures optimal utilization of the available 32GB frame buffer across all connected virtual desktops.

Processing Capabilities and GPU Complexes

The Tesla M10 incorporates four distinct GPU complexes on a single board, each featuring 640 CUDA cores for a total of 2,560 processing cores across the entire card. This multi-complex design enables exceptional user density while maintaining hardware-level isolation between user groups. Each complex operates independently, allowing the card to serve multiple virtual machines simultaneously without performance interference between sessions.

Application-Specific Performance Considerations

Different applications place varying demands on GPU resources, and the 900-22405-0100-030 Tesla M10 accommodates this diversity through configurable vGPU profiles. For CAD applications like AutoCAD and SolidWorks, the card provides the necessary OpenGL acceleration for smooth manipulation of complex models. For media professionals using Adobe Creative Suite applications, the M10 accelerates rendering and effects processing. Even for basic office productivity, GPU acceleration improves the user experience by enabling smooth scrolling, video playback, and modern interface elements.

Compatibility 

The 900-22405-0100-030 Tesla M10 requires specific server infrastructure to operate effectively. Compatible systems include enterprise servers from leading manufacturers such as Dell, HPE, Cisco, and Lenovo that support GPU passthrough technologies like SR-IOV (Single Root I/O Virtualization). The card conforms to the PCI-e x16 mechanical and electrical specification, drawing all necessary power directly from the slot without requiring auxiliary power connectors, which simplifies deployment in space-constrained server environments. While the Tesla M10's single-slot design enables installation in various server form factors, optimal deployment typically occurs in 2U or larger rack-mounted servers that provide adequate airflow for cooling. The card's 225W thermal design power requires proper server ventilation to maintain optimal operating temperatures, especially when multiple cards are installed in a single chassis for increased user density.

Guest Operating System and Driver Requirements

Virtual machines accessing 900-22405-0100-030 Tesla M10 resources require installation of Nvidia GRID virtual GPU drivers, available for supported Windows, Linux, and Citrix Xen Desktop environments. These guest drivers enable the operating system to recognize and utilize the virtual GPU as if it were a physical graphics card, providing full hardware acceleration for graphics and compute workloads without requiring application modifications.

Performance Isolation Between Users

A critical aspect of the Tesla M10's architecture is its ability to provide performance isolation between different users sharing the physical GPU. Through hardware-level partitioning and quality of service (QoS) mechanisms, the card ensures that intensive GPU usage by one user doesn't negatively impact the experience of other users on the same physical hardware. This predictable performance is essential for production environments where service level agreements must be maintained.

Network and Storage Considerations

The performance of GPU-accelerated virtual desktops depends not only on the Tesla M10 itself but also on supporting infrastructure components. High-bandwidth, low-latency network connections are essential between users and the VDI environment, while storage subsystems must deliver sufficient IOPS to handle the increased load from multiple simultaneous users running graphics-intensive applications. SSD-based storage or all-flash arrays typically provide the necessary performance characteristics.

Management Strategies

Ongoing management of 900-22405-0100-030 Tesla M10 deployments requires specialized monitoring tools that can track GPU utilization, memory consumption, and user performance metrics. Nvidia management tools integrate with popular hypervisor management platforms to provide visibility into the health and performance of the vGPU environment. Proactive monitoring helps identify potential bottlenecks before they impact user experience and enables capacity planning for future expansion.

Return on Investment Analysis

The business case for 900-22405-0100-030 Tesla M10 deployment typically centers around productivity improvements, particularly for graphics professionals who can work more efficiently with GPU acceleration. Additional ROI drivers include reduced downtime through centralized management, lower support costs due to standardized environments, and improved security with data remaining in the data center rather than distributed across endpoint devices.