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
- Manufacturer Website Address: http://www.hpe.com
- 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
About New Bulk Pack Products
Video Graphics Cards
Video cards are variously referred to as graphics cards, display adapters, graphic processing units (GPU), video boards, or video controllers. The graphics card is essentially an expansion card that connects to a computer motherboard. It helps to process images and videos so that you see them on your computer's display. Video cards are preferred for PC gaming over integrated graphics owing to their video RAM and extra processing power.
There are many changes happening with graphics cards as the major players launch new products and technologies. Likewise, emerging technologies in software and gaming also demand capable GPUs in terms of their power and accompanying features. The newest video cards have more refined technologies including improved smart resolution and ray-tracing.
For a gaming PC, choosing the best video card can be a difficult task. There are always new offerings in the market with better features that everybody wants to improve their gaming or other experience. Nvidia and AMD are the two great competitors in offering gaming GPUs and have repeatedly put out high-performance architecture for their cards. For Nvidia, RTX 3080 and RTX 3090 are some of the best video cards out there, whereas AMD has the AMD Radeon RX series – RX 6800Xt and RX 6900XT – which are equal if not better rival products.
Gamers will bet everything to get the best video card since it is a central part of their gaming experience. You must find a video card that offers the best performance at 1080p gaming and even 4K gaming depending on your budget. Always match a GPU to your CPU to get the best performance since a smaller CPU will affect the expensive GPU's performance.
We have fantastic graphics cards that will not cost you an arm and leg but will still offer frame rates common with pricey units. We have them all ranging from the 1080p to those that reach the 1440p gaming standards.
Nvidia GeForce RTX 3080
It is one of the best graphics processing units out there for PC gaming offering a big boost in performance compared to the previous generation RTX 20 series. With specifications that include 1440MHz base clock, 10GB GDDR6X memory, 760GB/s memory bandwidth, 19GT/s memory clock, and 8.704 CUDA cores, these Nvidia GeForce cards are exceptionally good. Ray-tracing performance is possible and doesn't affect frame rates.
AMD Radeon RX 5700
It is definitely one of the best 1440p gaming video cards with a gaming-focused RDNA core. The RX 5700 offers top competition to the Nvidia graphics cards and will not empty your pockets in cost. PC gamers get 2,304 RDNA cores, 1465MHz base clock and 1725MHz boost clock, 8GB GDDR6 memory, 448GB/s memory bandwidth, and 14GT/s memory clock, and 7.95 TFLOPS with the RX. AMD Navi driver updates have ensured the GPU provides outstanding performance.
Nvidia Quadro RTX
The Nvidia Quadro RTX range of GPUs are specifically designed for professional users such as architects, designers, and engineers. They are designed with greater computational power compared to the GeForce line of video cards. Quadro cards have more graphical memory offering up to 48GB of memory which is useful for tasks that include training neural networks and for simulations.
Nvidia Quadro RTX video cards are designed for specific render tasks such as professional video rendering and CAD design. The power available on a single card and pairing with Nvidia Tesla cards help improve performance and facilitate simultaneous visualization and rendering as well as double-precision computations. Quadro cards are designed to take strenuous use and for durability.In conclusion, you must find a graphics card that meets your needs and budget. We have a wide range of graphics cards for all your needs right from basic video streaming, video rendering, web surfing, and professional tasks. It helps to have the best graphics cards possible to make your system snappier in completing tasks. All recently launched Nvidia video cards including the GeForce RTX3000 series – RT3070, 3080, and 3090 – that have the Ampere architecture. AMD have also made available their Radeon RX series that includes RX 6800, 6800 XT and 6900 XT based on the RDNA 2nd gen architecture targeting 4K gaming.
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