Name: 900-2G402-0010-000 NVIDIA Tesla M60 Graphic Card 2 GPUs 889 MHz Core 1.18 GHz Boost Clock 16GB GDDR5 Dual Slot Space Required 384 bit Bus Width Passive Cooler
Brand: Nvidia
SKU: 900-2G402-0010-000
Price: 1495.00 USD
Availability: InStock
Rating: 4.9 (108 reviews)

Product Overview
The NVIDIA Tesla M60 Graphic Card features dual GPUs designed for virtualized graphics workloads. It fits into data center setups requiring high memory bandwidth and silent operation, making it a reliable choice for multi-user environments and demanding compute tasks.

General Information
Brand	Nvidia
Part Number	900-2G402-0010-000

Technical Information
Chipset	Nvidia
GPU Clock	889 MHz (base),1.18 GHz (boost)
Bus Interface	PCI Express 3.0 x16
Supported APIs	DirectX 11, DirectX 12, OpenGL: 4.5, OpenCL, Vulkan: 1, Vulkan: 1.2.175 , CUDA, Shader Model: 5.1, DirectCompute
Output Interface	PCIe 3.0 x16 (compute card, no display outputs)

Memory
Memory Size	16GB
Interface	GDDR5
Memory Bus	384-bit

Physical Characteristics
Slot Width	Dual-slot
Weight	3.00
Condition	Refurbished

Miscellaneous
Assembly Required	Yes
Eco Friendly	Yes
Compliance Standards	WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL

Product Description
The NVIDIA Tesla M60 is built for intensive graphics and compute workloads, often found in virtual desktop infrastructure (VDI) and data center environments. It combines two GPUs on a single card to handle multiple users or applications simultaneously with efficient performance. This card is commonly used by IT professionals, cloud service providers, and businesses requiring high-density workstation virtualization. Key Features High clock speeds up to 1.18 GHz boost for smooth graphics rendering Large 16GB GDDR5 memory supports complex visualization and simulations 384-bit bus width facilitates high-speed memory access Passive cooling allows silent operation in server racks Dual-slot form factor fits standard data center chassis This GPU card is typically deployed in enterprise data centers powering virtual desktops or GPU-accelerated applications. It helps improve density and efficiency where multiple users share graphics resources without sacrificing responsiveness.

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