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Blog | Unleashing the Power of the NVIDIA RTX 4090: A Deep Dive into ML-AI and Scientific Computing Performance
January 30th 2023
The NVIDIA RTX 4090 is a state-of-the-art graphics processing unit (GPU) that has been engineered to excel in machine learning (ML) and artificial intelligence (AI), as well as scientific computing applications. In the blog post by Dr. Donald Kinghorn, he presents early performance results that compare the RTX 4090 and RTX 3090 GPUs using a diverse range of benchmarks. These benchmarks were designed to evaluate the performance of the two GPUs in a variety of different scenarios and applications, in order to provide a comprehensive understanding of their capabilities. Dr. Kinghorn's results provide valuable insight into the potential of the RTX 4090 and how it compares to the already impressive RTX 3090.
The test systems that were utilized in the benchmarks consist of an AMD Threadripper Pro test platform that is equipped with a highly powerful 64-core central processing unit (CPU) and an impressive 128GB of random-access memory (RAM). Furthermore, the test systems also feature the RTX 4090 and RTX 3090 GPUs, which are the two graphics processing units being compared in the benchmarks. The benchmarks that were run include HPL (Linpack), HPCG, NAMD, LAMMPS, TensorFlow 1.15.5 ResNet50, and PyTorch 1.13 Transformer training. These benchmarks were carefully chosen to provide a comprehensive understanding of the performance of the RTX 4090 and RTX 3090 GPUs in a variety of different scenarios and applications.
The preliminary results indicate that the RTX 4090 boasts outstanding computing performance, with significant enhancements of almost twice the capability of the RTX 3090. However, it is important to keep in mind that these findings are not final and the programs that were tested have not yet been fully optimized for the Ada Lovelace architecture, which means that the true potential of the RTX 4090 may not have been fully realized yet.
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In summary, the RTX 4090 is a formidable GPU that delivers substantial improvements in performance for machine learning (ML), artificial intelligence (AI), and scientific computing applications. Its capabilities make it an ideal tool for developers working on code that is intended for high-end computing GPUs such as the A100 and H100. Despite its impressive performance, it should be noted that further optimization will be required to fully tap into its capabilities and extract the maximum performance it can deliver. This is expected as the RTX 4090 is a cutting-edge technology that is still in its early days and as developers work with it and optimize their code and applications, they will be able to unlock its full potential. Overall, the RTX 4090 is a powerful and versatile GPU that has the potential to be a game-changer in the field of high-performance computing.
Pros of using RTX 4090 for Scientific Computing:
• High-performance computing: The RTX 4090 offers excellent computing performance, with significant improvements over the RTX 3090. This makes it a powerful tool for running complex simulations and data analysis in scientific computing applications.
• Large memory capacity: The RTX 4090 comes with a large amount of memory, which is essential for storing and processing large scientific datasets. This allows for more efficient and accurate simulations and modeling, as well as faster processing times.
• High-speed data transfer: The RTX 4090 also features high-speed data transfer capabilities, which can be used to quickly transfer large amounts of data between the GPU and the CPU. This can help to reduce the time it takes to run simulations and models, as well as improve overall system performance.
• Advanced ray tracing capabilities: The RTX 4090 features advanced ray tracing capabilities, which can be used to simulate realistic lighting and shadows in scientific visualizations. This can greatly enhance the realism and detail of the visualizations, making them more useful for scientific research.
• CUDA support: The RTX 4090 supports CUDA 11.8, providing developers with a wide range of libraries and tools for optimizing their scientific computing applications for the GPU.
• Double precision performance: One of the key advantages of the RTX 4090 over the RTX 3090 is its superior double precision (fp64) performance. fp64 are used in scientific computing applications requiring very high numerical accuracy levels. Therefore, it makes it a great choice for a wide range of high-performance computing applications.
• Large memory capacity: The RTX 4090 comes with a large amount of memory, which is essential for storing and processing large scientific datasets. This allows for more efficient and accurate simulations and modeling, as well as faster processing times.
• High-speed data transfer: The RTX 4090 also features high-speed data transfer capabilities, which can be used to quickly transfer large amounts of data between the GPU and the CPU. This can help to reduce the time it takes to run simulations and models, as well as improve overall system performance.
• Advanced ray tracing capabilities: The RTX 4090 features advanced ray tracing capabilities, which can be used to simulate realistic lighting and shadows in scientific visualizations. This can greatly enhance the realism and detail of the visualizations, making them more useful for scientific research.
• CUDA support: The RTX 4090 supports CUDA 11.8, providing developers with a wide range of libraries and tools for optimizing their scientific computing applications for the GPU.
• Double precision performance: One of the key advantages of the RTX 4090 over the RTX 3090 is its superior double precision (fp64) performance. fp64 are used in scientific computing applications requiring very high numerical accuracy levels. Therefore, it makes it a great choice for a wide range of high-performance computing applications.
Pros of using RTX 4090 for AI-ML:
• High-performance computing: The RTX 4090 offers excellent computing performance, with significant improvements over the RTX 3090. This makes it a powerful tool for training and running large neural networks in AI-ML applications.
• Large memory capacity: The RTX 4090 comes with 24GB of memory. The larger memory allows for more efficient and accurate training of AI and ML models, as well as faster processing times.
• AI-acceleration: The RTX 4090 is equipped with powerful AI-acceleration capabilities, such as Tensor Cores and CUDA Cores, which can be used to speed up AI and ML tasks. These features can help to increase the speed of training models and improve their accuracy, leading to more efficient and effective research.
• Support for popular AI libraries: The RTX 4090 is compatible with popular AI libraries such as TensorFlow and PyTorch, which makes it easy for developers to implement AI and ML models using these libraries.
• CUDA-optimized libraries: The RTX 4090 supports CUDA-optimized libraries such as cuDNN, TensorRT, and CUDA-X AI which can accelerate AI-ML workloads.
• Large memory capacity: The RTX 4090 comes with 24GB of memory. The larger memory allows for more efficient and accurate training of AI and ML models, as well as faster processing times.
• AI-acceleration: The RTX 4090 is equipped with powerful AI-acceleration capabilities, such as Tensor Cores and CUDA Cores, which can be used to speed up AI and ML tasks. These features can help to increase the speed of training models and improve their accuracy, leading to more efficient and effective research.
• Support for popular AI libraries: The RTX 4090 is compatible with popular AI libraries such as TensorFlow and PyTorch, which makes it easy for developers to implement AI and ML models using these libraries.
• CUDA-optimized libraries: The RTX 4090 supports CUDA-optimized libraries such as cuDNN, TensorRT, and CUDA-X AI which can accelerate AI-ML workloads.
Unleash the Power of the NVIDIA RTX 4090 for AI/ML
Are you ready to take your scientific computing or AI-ML projects to the next level? Then consider upgrading to the NVIDIA RTX 4090 GPU. With its superior performance, large memory capacity, high-speed data transfer, advanced ray tracing capabilities, and CUDA support, the RTX 4090 is a game-changer in high-performance computing. Furthermore, DiGiCOR is the perfect choice for building a custom workstation that is optimized for your specific needs. With fast build times, lifetime labor and tech support, and a dedication to customer satisfaction, DiGiCOR is the ultimate solution for anyone looking to take their computing performance to the next level. Don't miss out on this opportunity to unleash the power of the NVIDIA RTX 4090 - contact DiGiCOR today and start your journey to a more powerful computing experience.
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