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    Meet Your Seller

    Dell NVIDIA Tesla M10 Accelerator 32GB GDDR5 PCI-E x16 900-22405-0100-030 H56H0

    • GPU computing processor
    • 4 GPUs
    • Tesla M10
    • 32 GB GDDR5
    • PCIe 3.0 x16
    • Fanless (passive cooling)
    • Environmental Parameters
    • Humidity Range Operating : 5 - 95%
    • Max Operating Temperature : 113 °F
    • Min Operating Temperature : 32 °F
    • Header
    • Brand : NVIDIA
    • Compatibility : PC
    • Manufacturer : Hewlett-Packard
    • Model : M10
    • Packaged Quantity : 1
    • Product Line : NVIDIA Tesla
    • Miscellaneous
    • Color Category : Black, Green, Silver
    • Compliant Standards : BSMI, C-Tick, cUL, Halogen-free, ICES, KCC, REACH, RoHS, UL, VCCI
    • Power Consumption Operational : 225 Watt
    • RAM
    • Installed Size : 32 GB
    • System Requirements
    • Peripheral Interface Devices : 8 pin PCI Express power connector
    • Video Memory
    • Installed Size : 32 GB
    • Memory Clock Speed : 2600 MHz
    • Technology : GDDR5 SDRAM
    • Video Output
    • Clock Speed : 1033 MHz
    • CUDA Cores Qty : 2560
    • Fanless : Yes
    • Graphics Processor Manufacturer : NVIDIA
    • Graphics Processor Vendor : NVIDIA Tesla M10
    • Graphics Processors Qty : 4
    • Interface Type : PCI Express 3.0 x16
    🔥Don't forget your OS, we have Windows 11 OEM, Download and USB versions available
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    Condition: New
    Dell Part: H56H0
    Compeve SKU: 255700194102 Do you require higher performance computation or graphics? Companies are being faced with greater computational and graphics requirements as large, complex computational models become more commonplace. Traditional CPU technology is no longer able to keep up with these increasing demands. Designed from the ground up for power-efficient, high performance supercomputing, NVIDIA Accelerators deliver dramatically higher application acceleration than a CPU-only approach for a range of deep learning, scientific, and commercial applications. The thousands of NVIDIA CUDA cores of each accelerator allow it to divide large computing or graphics tasks into thousands of smaller tasks that can be run concurrently, thus enabling much faster simulations and improved graphics fidelity for extremely demanding 3D models.

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