Tag Archives: GPU

GPU Lot



GPU Lot

Price : 20.00

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Are you in need of a new GPU for your gaming rig or workstation? Look no further than our GPU lot! We have a variety of GPUs available, from entry-level to high-end models, all at competitive prices.

Whether you’re a casual gamer looking to upgrade or a professional in need of a powerful GPU for your work, we have something for everyone in our GPU lot. Our GPUs are tested and guaranteed to be in good working condition, so you can buy with confidence.

Don’t miss out on the opportunity to snag a great deal on a quality GPU. Visit our GPU lot today and find the perfect graphics card for your needs!
#GPU #Lot

NVIDIA Tesla P100 GP100-892-A1 Data Center GPU Boards 4pcs As-Is Tested



NVIDIA Tesla P100 GP100-892-A1 Data Center GPU Boards 4pcs As-Is Tested

Price : 586.00

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Are you in need of powerful data center GPU boards for your projects? Look no further than the NVIDIA Tesla P100 GP100-892-A1 boards, now available in a set of 4pcs as-is tested.

These GPU boards are designed for high-performance computing tasks in data centers, offering unparalleled processing power and efficiency. With the ability to handle complex calculations and graphics rendering with ease, these boards are essential for any data-intensive applications.

Each board has been thoroughly tested to ensure optimal performance, making them a reliable choice for your data center needs. Don’t miss out on this opportunity to enhance your computing capabilities with the NVIDIA Tesla P100 GP100-892-A1 GPU boards.

Contact us today to learn more about this offer and secure your set of 4pcs of NVIDIA Tesla P100 GP100-892-A1 data center GPU boards.
#NVIDIA #Tesla #P100 #GP100892A1 #Data #Center #GPU #Boards #4pcs #AsIs #Tested

Original Nvidia Tesla V100 16GB GPU PCIE Accelerator Card Machine Learning AI



Original Nvidia Tesla V100 16GB GPU PCIE Accelerator Card Machine Learning AI

Price : 689.00

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Are you looking for a powerful GPU accelerator card for your machine learning and AI projects? Look no further than the original Nvidia Tesla V100 16GB PCIE accelerator card. With its cutting-edge technology and impressive performance, this GPU is perfect for handling complex computations and algorithms.

The Nvidia Tesla V100 features 16GB of high-bandwidth memory, providing ample space for large datasets and models. Its Tensor Cores deliver up to 125 teraflops of deep learning performance, making it ideal for training neural networks and running deep learning algorithms.

Whether you’re a data scientist, researcher, or developer, the Nvidia Tesla V100 will help you accelerate your work and achieve faster results. Invest in this top-of-the-line GPU accelerator card and take your machine learning and AI projects to the next level.
#Original #Nvidia #Tesla #V100 #16GB #GPU #PCIE #Accelerator #Card #Machine #Learning

NVIDIA Tesla H100 80GB PCI-e GPU Ampere Accelarator Graphics Card Deep learning



NVIDIA Tesla H100 80GB PCI-e GPU Ampere Accelarator Graphics Card Deep learning

Price : 27000.00 – 27,000.00

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Are you looking to take your deep learning projects to the next level? Look no further than the NVIDIA Tesla H100 80GB PCI-e GPU Ampere Accelerator Graphics Card. With unparalleled performance and cutting-edge technology, this graphics card is designed to handle the most demanding deep learning tasks with ease.

Featuring 80GB of memory, the Tesla H100 is capable of processing massive datasets and running complex neural networks with lightning-fast speed. Its Ampere architecture delivers up to 2.5x the performance of previous generations, ensuring that you can train models faster and more efficiently than ever before.

Whether you’re working on image recognition, natural language processing, or any other deep learning application, the Tesla H100 is the perfect tool for the job. Don’t settle for anything less than the best – upgrade to the NVIDIA Tesla H100 80GB PCI-e GPU Ampere Accelerator Graphics Card today and unleash the full power of deep learning.
#NVIDIA #Tesla #H100 #80GB #PCIe #GPU #Ampere #Accelarator #Graphics #Card #Deep #learning

NVIDIA RTX 3060M 6GB GDDR6 Graphics Card GPU



NVIDIA RTX 3060M 6GB GDDR6 Graphics Card GPU

Price : 135.21

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Introducing the NVIDIA RTX 3060M 6GB GDDR6 Graphics Card GPU: The Ultimate Gaming Experience!

Are you ready to take your gaming experience to the next level? Look no further than the NVIDIA RTX 3060M 6GB GDDR6 Graphics Card GPU. This powerhouse of a graphics card is designed to deliver unparalleled performance and visuals for all your favorite games.

Featuring 6GB of GDDR6 memory, the RTX 3060M is equipped to handle even the most demanding titles with ease. Whether you’re exploring vast open worlds, engaging in fast-paced multiplayer battles, or immersing yourself in stunningly realistic graphics, this GPU has you covered.

With NVIDIA’s cutting-edge technology, including real-time ray tracing and AI-enhanced graphics, the RTX 3060M delivers incredibly lifelike visuals and smooth gameplay. Say goodbye to lag and screen tearing – with this graphics card, you’ll experience gaming like never before.

Don’t settle for anything less than the best. Upgrade to the NVIDIA RTX 3060M 6GB GDDR6 Graphics Card GPU and unleash the full potential of your gaming rig. Your eyes – and your opponents – will thank you.
#NVIDIA #RTX #3060M #6GB #GDDR6 #Graphics #Card #GPU

CUDA vs. OpenCL: Comparing GPU Computing Frameworks


In the world of GPU computing, two frameworks stand out as the most popular choices for developers looking to harness the power of graphics processing units (GPUs): CUDA and OpenCL. Both frameworks provide a way for developers to write code that can be executed on a GPU, taking advantage of its parallel processing capabilities to accelerate a wide range of applications. But how do these two frameworks compare, and which one is the best choice for your next project? Let’s take a closer look at CUDA and OpenCL to see how they stack up against each other.

CUDA, developed by NVIDIA, is a proprietary framework that is specifically designed for NVIDIA GPUs. It offers a high level of performance and efficiency, as it is optimized to work seamlessly with NVIDIA hardware. CUDA provides a set of libraries and tools that make it easier for developers to write GPU-accelerated code, and it also includes a compiler that translates CUDA code into machine code that can be executed on the GPU. One of the key advantages of CUDA is its tight integration with NVIDIA’s hardware, which allows for fine-tuned control over the GPU and can lead to better performance in some cases.

On the other hand, OpenCL is an open-source framework that is supported by a wide range of hardware vendors, including AMD, Intel, and NVIDIA. OpenCL is designed to be more portable and vendor-neutral than CUDA, allowing developers to write code that can run on a variety of different GPUs. While OpenCL may not offer the same level of performance optimization as CUDA on NVIDIA hardware, it does provide a more flexible and versatile solution for developers who want to target multiple platforms.

When it comes to performance, both CUDA and OpenCL can deliver impressive speedups for certain types of applications. However, CUDA tends to have an edge in terms of performance on NVIDIA hardware, as it is specifically optimized for that platform. OpenCL, on the other hand, offers a more generic approach that may not be as efficient on all hardware configurations.

In terms of ease of use and developer support, CUDA has the advantage of being more user-friendly and well-documented, with a large community of developers who are familiar with the framework. OpenCL, while more complex and less well-documented, offers the benefit of being open-source and vendor-neutral, making it a more attractive option for developers who want to target a wider range of hardware.

In conclusion, the choice between CUDA and OpenCL will ultimately depend on your specific requirements and the hardware you are targeting. If you are developing for NVIDIA GPUs and prioritize performance and efficiency, CUDA may be the best choice for you. On the other hand, if you need a more portable and flexible solution that can run on a variety of different platforms, OpenCL may be the better option. Whichever framework you choose, both CUDA and OpenCL offer powerful tools for harnessing the parallel processing capabilities of GPUs and accelerating a wide range of applications.

The Ultimate Guide to Overclocking Your GeForce GPU


If you’re looking to get the most out of your GeForce GPU, overclocking is a great way to boost performance without breaking the bank. With the right tools and knowledge, you can push your graphics card to its limits and enjoy smoother gameplay and faster rendering speeds. In this ultimate guide, we’ll walk you through the process of overclocking your GeForce GPU step by step.

Step 1: Know Your GPU

Before you start overclocking, it’s important to know which GeForce GPU you have. This will help you determine the maximum safe overclocking settings for your specific model. You can easily find this information by checking the specifications of your graphics card or using software like GPU-Z.

Step 2: Download Overclocking Software

To overclock your GeForce GPU, you’ll need to download a reliable overclocking software tool. Some popular options include MSI Afterburner, EVGA Precision X, and ASUS GPU Tweak. These programs allow you to adjust the core clock, memory clock, voltage, and fan speed of your graphics card.

Step 3: Test Your GPU

Before you start overclocking, it’s a good idea to run a benchmark test to establish a baseline performance for your GPU. This will help you track improvements as you overclock your graphics card.

Step 4: Increase Clock Speeds

Now it’s time to start overclocking your GeForce GPU. Begin by increasing the core clock speed in small increments, such as 10-25 MHz at a time. Run a stress test, such as FurMark or 3DMark, after each adjustment to check for stability and artifacts.

Step 5: Adjust Memory Clock

After you’ve found a stable core clock speed, you can start adjusting the memory clock. Increase the memory clock in small increments and run stress tests to ensure stability. Be cautious, as pushing the memory clock too far can lead to crashes and instability.

Step 6: Monitor Temperatures

As you overclock your GeForce GPU, keep an eye on temperatures to prevent overheating. Use monitoring software like HWMonitor or GPU-Z to track temperatures and adjust fan speeds if necessary.

Step 7: Fine-Tune Settings

Once you’ve found the optimal core and memory clock speeds for your GeForce GPU, you can fine-tune other settings like voltage and fan speed to maximize performance. Be careful not to exceed safe voltage limits, as this can damage your graphics card.

Step 8: Enjoy Improved Performance

Congratulations! You’ve successfully overclocked your GeForce GPU and boosted its performance. Enjoy smoother gameplay, faster rendering speeds, and improved overall graphics performance.

In conclusion, overclocking your GeForce GPU can be a rewarding experience that enhances your gaming and rendering experience. By following this ultimate guide and taking the necessary precautions, you can safely push your graphics card to its limits and enjoy the benefits of increased performance. Happy overclocking!

Maximizing Performance: Tips for Choosing the Right GPU for Your Needs


When it comes to maximizing performance in your computer, choosing the right GPU (Graphics Processing Unit) is key. Whether you are a gamer, a video editor, or a graphic designer, having the right GPU can make a significant difference in the speed and quality of your work. However, with so many options on the market, it can be overwhelming to know which one is the best fit for your needs. Here are some tips to help you choose the right GPU for your specific requirements.

1. Determine your budget: GPUs come in a wide range of prices, so it’s important to establish how much you are willing to spend before starting your search. Keep in mind that higher-priced GPUs typically offer better performance and more features, so it may be worth investing a bit more if you require top-notch graphics capabilities.

2. Consider your usage: Different GPUs are optimized for different tasks. For example, if you are a gamer, you will want a GPU that can handle high frame rates and resolutions. On the other hand, if you are a video editor, you will want a GPU that can handle large file sizes and complex visual effects. Make sure to choose a GPU that is tailored to your specific needs.

3. Research different models: Once you have determined your budget and usage requirements, it’s time to start researching different GPU models. Look for reviews and benchmarks online to see how different GPUs perform in real-world scenarios. Pay attention to factors such as clock speed, memory size, and compatibility with your existing hardware.

4. Consider future upgrades: When choosing a GPU, it’s important to think about your future needs as well. Will you be upgrading other components in your computer in the near future? If so, you may want to choose a GPU that can handle more demanding tasks down the line. Additionally, make sure to check the compatibility of the GPU with your motherboard and power supply.

5. Don’t forget about cooling: GPUs can generate a lot of heat, especially during intense gaming sessions or video editing tasks. Make sure to choose a GPU with adequate cooling mechanisms, such as fans or heat sinks, to prevent overheating and ensure optimal performance.

In conclusion, choosing the right GPU for your needs is crucial for maximizing performance in your computer. By considering factors such as budget, usage requirements, and future upgrades, you can select a GPU that will enhance your computing experience and help you achieve your goals. Take the time to research different models and compare their features to find the perfect GPU for your specific needs.

ASUS TUF GAMING LAPTOP i713620H 4060 GPU 16 GB RAM 1TB SSD



ASUS TUF GAMING LAPTOP i713620H 4060 GPU 16 GB RAM 1TB SSD

Price : 900.00

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Looking for a powerhouse gaming laptop that can handle all your favorite games with ease? Look no further than the ASUS TUF GAMING LAPTOP i713620H. With a powerful Intel i7 processor, NVIDIA GeForce GTX 4060 GPU, 16 GB of RAM, and a lightning-fast 1TB SSD, this laptop is ready to take on whatever you throw at it.

Whether you’re a casual gamer looking to play the latest titles at high settings or a hardcore gamer who demands top-tier performance, the ASUS TUF GAMING LAPTOP has you covered. The 4060 GPU ensures smooth gameplay and stunning visuals, while the 1TB SSD provides ample storage for all your games, files, and media.

Not only is this laptop powerful, but it’s also durable and reliable, thanks to its TUF construction and rigorous testing. With a sleek design and RGB lighting, the ASUS TUF GAMING LAPTOP looks as good as it performs.

Don’t settle for anything less than the best when it comes to your gaming experience. Upgrade to the ASUS TUF GAMING LAPTOP i713620H and take your gaming to the next level.
#ASUS #TUF #GAMING #LAPTOP #i713620H #GPU #RAM #1TB #SSD