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NVIDIA Tesla M40 24G Compute NVIDIA Graphics GPU Accelerated Deep Learning Graphics Card P40
MOQ
1 units
Lead Time
N/A days
Stock
100000 units
Origin
CN
Brand / Supplier
义乌噢欧进出口有限公司 Yiwu Oou Import and Export Co., Ltd.
Product Specifications
| Unit | pcs |
| 默认 |
Landed Cost
$226.03
Duty
$0.00
VAT
$10.56
Est. Shipping
$4.22
义乌噢欧进出口有限公司 Yiwu Oou Import and Export Co., Ltd.
Integrity
Fulfillment
100.00
Type
factory
Product Description
NVIDIA Tesla M40 24G Professional Computing Graphics Card - GPU Accelerated Deep Learning Graphics Card
When installing the NVIDIA Tesla M40 24G on Dell R720 or R730, just add a GPU power cable and a one-to-two adapter cable, and there is no need to modify the active cooling system.
For virtualization, cards such as K1, K2, K340, and K520 (no authorization required), as well as M60, P4, P10, P100, T4, RTX6000, RTX8000, V100, RTXA6000, and P40 (authorization required) can be used.
There are two modes of virtualization VGPU. One is VPC, which is suitable for general office work, and the other is VDWS, which is suitable for professional graphics applications. The P40 supports both modes.
NVIDIA has three major graphics card brands: GeForce, Quadro, and Tesla. GeForce is positioned for gaming and audio-visual applications, Quadro is positioned for graphic design, and Tesla is positioned for high-performance computing in servers, with gradually increasing performance requirements.
Before purchasing, you need to know the following information:
Whether the power supply has an 8-pin power supply;
For ordinary desktop computers, the motherboard needs to be X99 or above and use DDR4 memory;
The motherboard needs to support multi-graphics card display;
It is recommended that the power supply wattage be above 600W;
Whether there is enough space in the chassis (the position of the dual baffles of the card width and the length of the card is 28-30cm);
Ordinary desktop computers need to install active cooling, while servers can choose passive cooling.
The Tesla M40 24GB version has 24GB GDDR5 video memory, 3072 CUDA stream processors, a 384-bit width, supports DX12, has a full-load power consumption of 250W, and is powered by 8-pin and uses passive cooling.
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