NVIDIA H100 NVL Tensor Core GPU Extraordinary performance, scalability, and security for every data center.

The NVIDIA H100 NVL is one of the most powerful GPUs based on the Hopper architecture. It is designed to perform the most complex tasks in the field of artificial intelligence (AI), machine learning (ML), high performance computing (HPC), and provides revolutionary capabilities for processing language models, generative AI and large language models (LLM) based on DELL PowerEdge servers R760 and DELL PowerEdge R760xa . .

Key features of NVIDIA H100 NVL:

1. Architecture :

   • Hopper is NVIDIA's newest architecture, designed specifically for artificial intelligence and high-performance computing. It provides significant performance improvements over previous generations, including the Ampere architecture.

2. CUDA kernel :

   • 16,896 CUDA cores are cores that perform parallel computations, providing exceptional performance for computationally intensive tasks.

3. Tensor kernels :

   • 528 Tensor cores (4th generation) — specialized cores for accelerating deep learning and AI, supporting FP8, FP16, BFLOAT16, TF32, as well as the Sparsity format. These cores are designed to handle calculations with low precision, which significantly increases performance in the task of training large language models.

4. Memory :

   • 188GB of HBM3 is a large amount of high-speed memory (94GB per chip in NVL configuration) that provides massive bandwidth and allows you to work with extremely large AI models.
   • Memory bandwidth: 3 TB/s , which is extremely high to ensure smooth processing of large data sets.

5. NVLink :

   • NVLink 4th generation is an interconnect that provides fast data transfer between multiple GPUs. In an NVL (NVLink) configuration, two H100 NVL cards connect together to form a single computing platform with double the memory and processing power.

6. Energy consumption (TDP) :

   • 700 W - Each H100 NVL module (dual GPU) consumes a significant amount of power, which corresponds to a high level of performance for the largest AI models.

7. Multi-instance GPU (MIG) :

   • MIG (Multi-Instance GPU) — support for dividing the GPU into multiple logical instances, which allows one H100 to serve multiple tasks or users at the same time, increasing the efficiency of GPU usage in virtualized environments.

8. PCIe 5.0 :

   • PCIe Gen5 support to provide maximum bandwidth between GPU and central processing unit (CPU), suitable for high-speed data exchange.

Purpose of NVIDIA H100 NVL:

1. Machine learning and artificial intelligence :

   • The H100 NVL is designed for intensive machine learning tasks, including training large language models (LLM) and neural networks. Its computing power and memory allow you to quickly train models with a huge number of parameters.
   • Acceleration of inference : H100 NVL is particularly effective for inference of large language models such as GPT, as it can process models with trillions of parameters in real time.

2. Large language models (LLM) :

   • H100 NVL is optimized for large language models like GPT-4 and similar. This allows to accelerate the learning and inference processes of AI models used in applications such as chatbots, generative AI, machine translation and natural language processing (NLP).

3. Generative AI :

   • The H100 NVL can work with the most advanced generative models used to create text, images, videos and other content using AI. It is a key technology for industries such as media, content development and analytics.

4. High performance computing (HPC) :

   • The H100 NVL is also suitable for HPC tasks that require high computing power, such as scientific simulations, financial modeling, computational chemistry and physics.

5. Cloud computing and data centers :

   • With virtualization capabilities through MIG technology, the H100 NVL can be used to optimize cloud computing, enabling multiple applications or virtual machines to run simultaneously on a single GPU.

6. Big data processing :

   • The H100 NVL is capable of processing huge amounts of data at high speed, making it ideal for use in big data analytics such as financial institutions, forecasting systems, analytics solutions and other industries.

Key benefits of NVIDIA H100 NVL:

• Maximum performance for AI : H100 NVL provides the highest performance for training and inference of AI models thanks to new Tensor cores and large amount of memory.
• NVLink for GPU Collaboration : A pair of GPUs connected via NVLink enables efficient processing of data-intensive models by providing near-instantaneous data exchange between the two GPUs.
• Innovative 4th Generation Tensor Cores : With support for new data formats and improved efficiency, the H100 NVL accelerates low-precision AI tasks while maintaining high-precision results.
• Large amount of memory : 188 GB of HBM3 memory allows you to work with the most complex and largest AI models.
• Sparsity technology : It increases the efficiency of calculations, optimizing resources and accelerating the execution of matrix operations for AI models.

Fields of application of NVIDIA H100 NVL:

• Training and Inference of Large Language Models (LLM) .
• Generative AI for content creation .
• High Performance Computing (HPC) .
• Big data analytics and forecasting .
• Natural language processing and NLP applications .

The NVIDIA H100 NVL is the flagship solution for tasks that demand maximum performance in the field of artificial intelligence and computing, offering advanced capabilities for working with the largest and most complex artificial intelligence models today.

How can we help?

For more detailed information about the DELL PowerEdge R760 server with DDR5 4800 or the DELL PowerEdge R750 server with DDR4 3200, you can find it on our website SERVER SOLUTIONS , to find out the cost of the server, go to the DELL Server Configurator link .