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Product Overview |
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The Dell NVIDIA GRID Tesla M10 32GB GDDR5 video graphics card is crafted to support virtualized graphics environments, fitting well within enterprise data centers or cloud infrastructures. It balances performance and efficiency, making it a practical choice for delivering shared GPU acceleration to multiple virtual desktops or applications. |
General Information |
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| Brand | Dell |
| Part Number | H56H0 |
Technical Information |
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| Chipset | Nvidia |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | OpenGL: 4.5, OpenCL, CUDA |
| Output Interface | PCI Express 3.0 x16 |
Memory |
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| Memory Size | 32GB |
| Interface | GDDR5 |
| Memory Bus | 128-Bit |
Physical Characteristics |
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| Slot Width | Dual-slot |
| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Product Description |
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The Dell NVIDIA GRID Tesla M10 is designed to deliver high-quality virtualized graphics performance. Often found in data centers and enterprise environments, it enables multiple users to share GPU resources effectively, making it ideal for virtual desktop infrastructure (VDI) setups. Built for IT professionals and organizations that require scalable, reliable graphics acceleration, this card supports a range of applications from 3D modeling to video streaming across virtual machines. It’s commonly used in sectors like education, healthcare, and engineering where remote graphics performance is essential. Key Features
This card is typically deployed in large-scale VDI deployments or cloud environments where multiple users need access to GPU resources without dedicated hardware. It helps organizations maximize server utilization while maintaining smooth graphics experiences for end users. |
Use Cases |
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The Dell NVIDIA GRID Tesla M10 32GB GDDR5 graphics card is primarily deployed within enterprise data centers and cloud service environments where multiple users require access to GPU-accelerated workloads simultaneously. It is especially suited for organizations leveraging virtual desktop infrastructure (VDI) and application virtualization to optimize resource utilization across remote or distributed teams. How It's Used:
This GPU solution enhances operational efficiency by enabling scalable shared graphics processing across virtual machines, reducing hardware overhead while maintaining consistent performance for demanding workloads. It aligns with the needs of IT environments focused on virtualization and centralized resource management. |