Introduction to the Nvidia Tesla K40 GPU
The Nvidia Tesla K40 GPU is a high-performance graphics processing unit designed for use in scientific computing, data analytics, machine learning, and other compute-intensive applications. It is built on the Kepler architecture and is equipped with 12 GB of GDDR5 memory and a 384-bit memory interface, providing fast and efficient data processing capabilities.
One of the primary benefits of the Nvidia Tesla K40 GPU is its ability to accelerate computational workloads. It features 2880 CUDA cores and a clock speed of 745 MHz, allowing it to handle complex calculations and simulations with ease. It also supports double precision floating-point arithmetic, which is essential for many scientific and engineering applications.
The Nvidia Tesla K40 GPU is optimized for use in datacenter environments, with features such as ECC memory, improved error correction, and support for the CUDA parallel computing platform. These features help to ensure data accuracy and prevent errors in critical applications.
In addition to its technical specifications, the Nvidia Tesla K40 GPU also offers several software tools and libraries that enable developers to build and optimize applications for high-performance computing. These tools include the Nvidia CUDA Toolkit, which provides a programming interface and development environment for GPU computing, and the Nvidia cuDNN library, which offers accelerated deep learning capabilities.
Technical Specifications of the Nvidia Tesla K40 GPU
Here are the technical specifications of the Nvidia Tesla K40 GPU:
- GPU Architecture: Kepler
- CUDA Cores: 2880
- Memory Size: 12 GB GDDR5
- Memory Interface: 384-bit
- Memory Bandwidth: 288 GB/s
- ECC Memory: Yes
- Double Precision Performance: 1.43 teraflops (TFLOPS)
- Single Precision Performance: 4.29 TFLOPS
- Max Power Consumption: 235 watts
- Form Factor: PCIe x16
- Cooling: Active
- Supported Operating Systems: Windows, Linux
- Supported APIs: CUDA, OpenCL, DirectX 11, OpenGL 4.3
- Thermal Solution: Passive Heatsink
- Dimensions: 4.4 inches x 10.5 inches
- Weight: 4.5 pounds
The Nvidia Tesla K40 GPU features a Kepler architecture, with 2880 CUDA cores that allow it to handle complex computations and simulations. It has a memory size of 12 GB of GDDR5 memory, which is connected through a 384-bit memory interface and has a memory bandwidth of 288 GB/s. The GPU also supports ECC memory, which helps ensure data accuracy and prevents errors in critical applications.
In terms of performance, the Nvidia Tesla K40 GPU has a double precision performance of 1.43 teraflops (TFLOPS) and a single precision performance of 4.29 TFLOPS. It also has a max power consumption of 235 watts and a form factor of PCIe x16, making it compatible with many different server configurations.
The Nvidia Tesla K40 GPU supports a variety of operating systems, including Windows and Linux, as well as APIs such as CUDA, OpenCL, DirectX 11, and OpenGL 4.3. It uses a passive heatsink for thermal management and has dimensions of 4.4 inches by 10.5 inches, with a weight of 4.5 pounds.
Benefits of the Nvidia Tesla K40
The Nvidia Tesla K40 GPU offers several benefits for high performance computing (HPC), making it a popular choice for researchers, scientists, and other professionals working on compute-intensive tasks. Here are some of the main benefits of the Nvidia Tesla K40 for HPC:
- High Performance: The Nvidia Tesla K40 is a high-performance GPU with 2880 CUDA cores and 12 GB of GDDR5 memory. This allows it to handle complex computations and simulations with ease, and deliver high levels of processing power and performance.
- Parallel Computing: The Nvidia Tesla K40 is optimized for parallel computing, allowing users to run multiple compute-intensive tasks simultaneously. Its CUDA parallel computing platform enables developers to easily harness the power of GPU acceleration for HPC applications.
- Improved Efficiency: The Nvidia Tesla K40 is designed to deliver maximum performance with minimum power consumption. Its Kepler architecture and power management features help to optimize energy efficiency, making it a cost-effective option for HPC workloads.
- Large Memory Capacity: The Nvidia Tesla K40 has 12 GB of GDDR5 memory and a 384-bit memory interface, providing fast and efficient data processing capabilities. This large memory capacity is especially important for HPC applications that require processing large amounts of data.
- Error Correction: The Nvidia Tesla K40 features ECC memory, which helps to ensure data accuracy and prevent errors in critical applications. This feature is essential for HPC workloads that require high levels of accuracy and reliability.
- Advanced Software Tools: The Nvidia Tesla K40 comes with a range of software tools and libraries that are optimized for HPC applications. This includes the Nvidia CUDA Toolkit, which provides a programming interface and development environment for GPU computing, and the Nvidia cuDNN library, which offers accelerated deep learning capabilities.
- Manufacturer: Hewlett Packard Enterprise
- MPN: 744468-001
- Type: Video Cards
- SKU: 744468-001
- Chipset Manufacturer: NVIDIA
- GPU Model: Tesla K40
- Memory Size: 12 GB
- Type of Memory: GDDR5
- Data-Width of Memory: 384-bit
- Interface: PCI Express x16
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