The HP Nvidia Tesla K40C is a high-performance graphics processing unit (GPU) that is designed for use in high-performance computing environments. It is specifically designed for scientific and technical computing, as well as data analytics and machine learning applications.
The K40C is based on the Nvidia Kepler architecture, which delivers high levels of processing power and efficiency. It features 12GB of GDDR5 SDRAM memory, which allows it to handle large data sets and complex calculations.
The K40C is a PCIe Gen3 x16 card, which means that it can be installed in a wide range of systems that support PCIe interfaces. It also features a variety of advanced technologies, including Nvidia CUDA, OpenCL, and DirectCompute, which allow it to accelerate a wide range of scientific and technical applications.
Technical Specifications of the K40CSure! Here are the technical specifications of the HP Nvidia Tesla K40C graphics card:
- GPU Architecture: Nvidia Kepler
- CUDA Cores: 2880
- Base Clock: 745 MHz
- Boost Clock: 875 MHz
- Memory Type: GDDR5 SDRAM
- Memory Size: 12 GB
- Memory Clock: 3004 MHz
- Memory Interface Width: 384-bit
- Memory Bandwidth: 288.4 GB/s
- Maximum Power Consumption: 235 W
- Form Factor: Full-height, dual-slot
- Bus Interface: PCI Express 3.0 x16
- Cooling Solution: Active (with blower fan)
- Display Outputs: None (this is a compute-only card)
To summarize, the K40C features 2880 CUDA cores, a base clock of 745 MHz, and a boost clock of 875 MHz. It has 12GB of GDDR5 SDRAM memory, with a memory clock speed of 3004 MHz and a memory interface width of 384-bit. The card has a maximum power consumption of 235 watts and is designed to be installed in a full-height, dual-slot PCIe 3.0 x16 slot. It also features an active cooling solution with a blower fan to keep the GPU cool during operation. It's important to note that the K40C is a compute-only card and does not have any display outputs.
Architecture and Features of the K40CThe HP Nvidia Tesla K40C is based on the Nvidia Kepler architecture, which is the successor to the Fermi architecture. Kepler is known for its high performance and energy efficiency, and it introduced several new features that improved its processing power compared to previous architectures.
One of the key features of the Kepler architecture is the dynamic parallelism, which allows the GPU to create new threads and workloads without involving the CPU. This allows the GPU to handle more complex calculations and workflows, leading to faster processing times.
The K40C also features a high memory bandwidth, which is essential for handling large data sets and complex calculations. It uses a 384-bit memory interface width and has a memory bandwidth of 288.4 GB/s, which is much higher than many other graphics cards in its class.
Another key feature of the K40C is its support for Nvidia CUDA, OpenCL, and DirectCompute. These programming models allow developers to take advantage of the GPU's parallel processing capabilities, making it well-suited for scientific and technical computing applications. The K40C is also optimized for deep learning and machine learning workloads, with support for popular frameworks such as TensorFlow, Caffe, and Torch.
In terms of its physical design, the K40C is a full-height, dual-slot card that is designed to fit into a PCIe 3.0 x16 slot. It features an active cooling solution with a blower fan to keep the GPU cool during operation. It is important to note that the K40C is a compute-only card and does not have any display outputs, as it is designed for use in servers and workstations that do not require graphics output.
Key Features:
- Type: Graphics Card
- Card Interface: Pci Express X16
- Compatibility: Pc
Processor:
- Graphic Processor: Nvidia Tesla K40c.
- Ramdac Speed: 400 Mhz
Memory / Technology:
- Installed Memory: 12GB
- Memory Tech: Gddr5 Sdram
Technical Features:
- Form Factor: Plug-In Card
- Max Screen Resolution: 2048 X 1536 @ 85hz
- Api Supported: Opengl 3.0, Directx 10
- Shader Model: 4.0
Input / Output:
- Display Interface: Dvi-I (Dual Link) X 1
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