TESLA H100 80GB is a high-performance computing acceleration graphics card launched by NVIDIA. The following is a detailed introduction for you:

Powerful performance:

Having a massive CUDA core. For example, the H100 SXM version integrates up to 18432 CUDA cores, which enables parallel processing of a large number of computing tasks, giving it powerful computing capabilities in fields such as deep learning, scientific computing, and data analysis. It can quickly handle complex computing tasks, such as large-scale neural network training and complex physics simulations.

High bandwidth video memory. If HBM3 memory is used, with a memory capacity of 80GB and a memory bandwidth of up to 2TB/s (PCIe 5.0 forms HBM2E, with a memory bandwidth of up to 3TB/s), it can quickly store and read large amounts of data, providing strong support for processing large-scale data and complex models. When training large deep learning models, it is possible to efficiently load and process model parameters, intermediate results, and other data, reducing bottlenecks in data transmission and improving training efficiency.

Having a powerful Tensor core. For example, it contains 576 Tensor cores optimized for matrix operations in deep learning, which can accelerate key calculations in deep learning algorithms such as convolution and matrix multiplication, greatly improving the training and inference speed of deep learning models. In tasks such as image recognition and natural language processing, data can be processed and analyzed faster, improving the accuracy and performance of models.

Advanced technology:

Support NVLink technology. NVLink can achieve high-speed interconnection between multiple GPUs, enabling multiple H100 graphics cards to work together and further enhance the overall computing performance of the system. For example, in large-scale distributed computing scenarios, multiple H100 graphics cards connected through NVLink can process larger scale tasks in parallel, improving computing efficiency and processing power. This is crucial for applications that require extremely high computing performance, such as supercomputers and large-scale data centers.

Advanced manufacturing processes have been adopted. For example, using TSMC's 4nm process for manufacturing allows the chip to integrate more transistors and functional modules, while reducing power consumption and heat generation, improving the performance and stability of the chip. Advanced manufacturing processes can also improve the energy efficiency ratio of chips, providing higher performance at the same power consumption or reducing power consumption at the same performance.

Wide range of application scenarios:

In the field of artificial intelligence, it is an ideal choice for training and deploying large-scale deep learning models. Whether it is tasks such as image recognition, speech processing, natural language understanding, or complex multimodal artificial intelligence applications, the H100 80GB can provide powerful computing support to help researchers and developers quickly train high-performance models and achieve efficient inference applications, promoting the development and innovation of artificial intelligence technology. For example, in the training of intelligent voice assistants, they can quickly process large amounts of voice data, improving the model's ability to recognize and understand speech.

In the field of scientific computing, it can be used to solve complex scientific problems, such as meteorological forecasting, molecular dynamics simulation, quantum mechanics computing, etc. Its powerful computing power and high bandwidth video memory can handle large-scale numerical calculations and simulations, providing powerful tools for scientific research and helping scientists explore natural laws more deeply and solve scientific problems. For example, in meteorological forecasting, the ability to quickly calculate atmospheric circulation models can improve the accuracy and timeliness of predictions.

In the field of data centers and cloud computing, efficient solutions can be provided for large-scale data processing and computing tasks. In the cloud computing platform, H100 80GB can provide users with powerful computing resources and support various high-performance computing services, such as virtual desktops, high-performance computing instances, etc., to meet the computing performance needs of different users and improve the service quality and efficiency of data centers

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