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Server DELL PowerEdge XE7740 H200 NVL Xeon 6 6747P
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Server DELL PowerEdge XE7740 NVIDIA H200 NVL 141GB Intel Xeon 6 Performance 6747P 2.7G, 48C/96T, 24GT/s, 288M Cache.
Server: Dell PowerEdge XE7740
This is a specialized server platform from Dell, designed specifically for intensive computing workloads. Its main task is to provide reliable power and, most importantly, effective cooling for hot and energy-intensive components, such as graphics accelerators and powerful central processors.
Graphics accelerator (GPU): NVIDIA H200 NVL 141GB
This is the heart and main computing power of this server, especially for AI tasks.
· NVIDIA H200: This is one of the world's most powerful data center GPUs, built on the Hopper architecture. It is the direct successor to the famous H100.
· 141 GB of memory: Its key advantage is the huge amount of ultra-fast HBM3e memory (141 GB) . This allows you to load and process giant AI models (LLM) and datasets directly into the GPU memory, which dramatically speeds up the work.
· NVL (NVLink): This acronym refers to the use of NVLink technology, which allows multiple GPUs to be connected together via a direct high-speed bus. This allows the system to see them as a single, even more massive accelerator, which is critical for training the largest AI models.
Central processor (CPU): Intel Xeon 6 Performance 6747P
This is the " brain " of the server , which manages everyone operations , prepares data for GPU and performs general computational task .
· Intel Xeon 6 Performance: It processor the last one generation from Intel, in to whom are used high-performance P- cores (Performance-cores) .
· 48 cores / 96 threads : Huge number nuclei allows effectively perform many parallel tasks — from preparation data to support works operating room systems and network connections , not creating a " narrow places " for " powerful GPU.
· 288M Cache: Giant volume cache ( 288 MB ) is valid as superfast buffer for data that allows processor nuclei get access to information with minimal delayed , significantly raising general productivity .
What is such a system used for?
Servers with this configuration are tools for solving the most complex tasks:
· Training and running giant AI models: For example, large language models (LLM), diffusion models for image and video generation.
· Scientific research: Climate modeling, drug development, genomic research, physical simulations.
· High-Performance Data Analytics (HPDA): Real-time analysis of huge data sets.
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