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  • DELL PowerEdge R750xs

    DELL PowerEdge R760xs server

    Intel Xeon Silver 4510 2.4-4.1Ghz 12 Cores

    Price from 212,606 UAH
  • DELL PowerEdge R750xs

    DELL PowerEdge R760xs server

    Intel Xeon Silver 4514Y 2.0-3.4Ghz 16 Cores

    Price from 228,735 UAH
  • DELL PowerEdge R750xs

    DELL PowerEdge R760xs server

    Intel Xeon Gold 6526Y 2.8-3.9Ghz 16 Cores

    Price from 258,060 UAH
  • DELL PowerEdge R750xs

    DELL PowerEdge R760xs server

    Intel Xeon Gold 5420+ 2.0Ghz 28 Cores

    Price from 287,385 UAH
  • Dell PowerEdge R760xs - Dual Xeon Silver 4410Y 2.0Ghz 12 Cores

    DELL PowerEdge R760 server

    Intel Xeon Gold 6526Y 2.8-3.9Ghz 16 Cores

    Price from 273,819 UAH
  • Dell PowerEdge R760xs - Dual Xeon Silver 4410Y 2.0Ghz 12 Cores

    DELL PowerEdge R760 server

    Intel Xeon Gold 6530 2.1-4.0Ghz 32 Cores

    Price from 338,290 UAH

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NVIDIA H100 NVL Tensor Core GPU

NVIDIA H100 NVL Tensor Core GPU

The best prices for official DELL PowerEdge R760 servers in Ukraine.

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Available server models from the warehouse in Kyiv:

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

Dell PowerEdge R760xa Server Review with Dual NVIDIA H100 NVL 94GB.

The NVIDIA H100 NVL is one of the most powerful graphics processing units (GPUs) built on the Hopper architecture. It is designed to perform the most demanding 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 R760 and DELL PowerEdge R760xa servers . .

Key features of NVIDIA H100 NVL:

NVIDIA H100 NVL Tensor Core GPU
  1. Architecture :

    • Hopper is NVIDIA’s latest architecture designed specifically for AI and high-performance computing, delivering significant performance improvements over previous generations, including the Ampere architecture.
  2. CUDA cores :

    • 16896 CUDA cores are cores that perform parallel calculations, providing exceptional performance for intensive computing tasks.
  3. Tensor cores :

    • 528 Tensor Cores (4th generation) - specialized cores for accelerating deep learning and AI, supporting FP8, FP16, BFLOAT16, TF32, and Sparsity . These cores are designed to handle low-precision calculations, which significantly improves performance in large language model training tasks.
  4. Memory :

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

    • NVLink Gen 4 is an interconnect that enables fast data transfer between multiple GPUs. In an NVL (NVLink) configuration, two H100 NVL cards are connected together to form a single compute platform with twice the memory and processing power.
  6. Power consumption (TDP) :

    • 700W - Each H100 NVL module (two GPUs) consumes a significant amount of power, corresponding to the 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, allowing a single H100 to serve multiple tasks or users simultaneously, increasing GPU utilization efficiency 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 (LLMs) and neural networks. Its processing power and memory capacity allow for rapid training of models with a large number of parameters.
    • Inference acceleration : The H100 NVL is particularly effective for inferring large language models such as GPT, as it can process models with trillions of parameters in real time.
  2. Large Language Models (LLM) :

    • The H100 NVL is optimized for large-scale language models such as GPT-4 and similar ones, allowing for faster training and inference 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 cutting-edge generative models used to create text, images, videos and other content using AI. This 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 by enabling the simultaneous running of multiple applications or virtual machines 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 in financial institutions, forecasting systems, analytical solutions, and other industries.

Key benefits of NVIDIA H100 NVL:

  • Maximum performance for AI : The H100 NVL delivers the highest performance for training and inferencing AI models thanks to new Tensor cores and large amounts of memory.
  • NVLink for GPU collaboration : A pair of GPUs connected via NVLink enables efficient processing of data-intensive models, 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 memory capacity : 188 GB of HBM3 memory allows you to work with the most complex and largest AI models.
  • Sparsity technology : It improves computing efficiency by optimizing resources and accelerating matrix operations for AI models.

NVIDIA H100 NVL application areas:

  • 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 demanding AI and compute workloads, offering advanced capabilities to power today's largest and most complex AI models.

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 visit our SERVER SOLUTIONS website . To find out the cost of the server, click on the DELL Server Configurator link .

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