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= Tesla H100 for Deep Learning: The Most Advanced GPU for AI Training =

The [[Tesla H100 for Deep Learning|Tesla H100]] is NVIDIA’s most advanced GPU for AI training and deep learning, designed to deliver unprecedented performance and scalability. Built on the latest Hopper architecture, the Tesla H100 is equipped with 80 GB of high-bandwidth HBM3 memory and next-generation Tensor Cores, making it the ultimate choice for training large language models, deep neural networks, and complex AI simulations. At [[Immers Cloud|Immers.Cloud]], we offer [[High-Performance GPU Servers|high-performance GPU servers]] featuring Tesla H100 GPUs to support your most demanding deep learning projects.

== Why Choose Tesla H100 for Deep Learning? ==
The Tesla H100 represents a leap forward in GPU technology, offering unmatched computational power, memory capacity, and efficiency. Here’s why it stands out:

* **Unprecedented Performance**  
  The Tesla H100 delivers up to 30x the training performance compared to previous-generation GPUs, thanks to its powerful Tensor Cores optimized for large-scale AI models.

* **High-Bandwidth HBM3 Memory**  
  With 80 GB of high-bandwidth memory, the H100 can handle massive datasets and deep learning models without bottlenecks, ensuring faster training and higher accuracy.

* **Next-Generation Tensor Cores**  
  The H100’s 4th generation Tensor Cores are specifically designed for mixed-precision and sparsity operations, delivering significant speedups for AI training.

* **Scalability for Large Models**  
  The Tesla H100 is ideal for multi-GPU configurations, supporting NVLink and NVSwitch technologies for seamless communication between GPUs, making it perfect for distributed AI training.

== Key Specifications ==
The Tesla H100 is engineered to handle the most complex deep learning tasks. Its key specifications include:

* **CUDA Cores**: 18,432  
* **Tensor Cores**: 576  
* **Memory**: 80 GB HBM3  
* **Memory Bandwidth**: 2 TB/s  
* **NVLink**: Up to 900 GB/s interconnect  
* **TDP**: 700W  
* **Form Factor**: Full-height, dual-slot  

== Ideal Use Cases for Tesla H100 ==
The [[Tesla H100 for Deep Learning|Tesla H100]] is built for a variety of deep learning and AI training applications, including:

* **Large Language Models (LLMs)**  
  Train large-scale language models like GPT-3 and BERT with ease, leveraging the H100’s high memory capacity and Tensor Core performance.

* **Deep Neural Network Training**  
  The H100’s 4th generation Tensor Cores enable efficient training of deep neural networks, making it ideal for applications such as speech recognition, image classification, and object detection.

* **Scientific Research and AI Simulations**  
  Run complex simulations and computational models for fields like astrophysics, climate science, and bioinformatics, using the H100’s massive parallel processing power.

* **Advanced Computer Vision**  
  Accelerate training for computer vision models used in autonomous driving, medical imaging, and smart surveillance, using the H100’s high-bandwidth memory and AI-enhanced performance.

== Recommended Server Configurations for Tesla H100 ==
At [[Immers Cloud|Immers.Cloud]], we provide several configurations featuring the Tesla H100 to meet the diverse needs of deep learning professionals:

* **Single-GPU Solutions**  
  Ideal for training small to medium-sized AI models, a single Tesla H100 server offers exceptional performance for research and development.

* **Multi-GPU Configurations**  
  For large-scale training projects, consider multi-GPU servers with NVLink or NVSwitch technology, equipped with 4 to 8 Tesla H100 GPUs for maximum parallelism and throughput.

* **High-Memory Solutions**  
  Use Tesla H100 configurations with up to 768 GB of system RAM for memory-intensive deep learning tasks, ensuring smooth operation for complex models.

== Why Choose Immers.Cloud for Tesla H100 Servers? ==
When you choose [[Immers Cloud|Immers.Cloud]] for your Tesla H100 server needs, you gain access to:

* **Cutting-Edge Hardware**  
  All of our servers are equipped with the latest NVIDIA GPUs, Intel® Xeon® processors, and high-speed storage options to ensure maximum performance.

* **Scalability and Flexibility**  
  Easily scale your projects with single-GPU or multi-GPU configurations, tailored to your specific requirements.

* **High Memory Capacity**  
  Up to 80 GB of HBM3 memory per GPU, ensuring smooth operation even for the most complex AI models and datasets.

* **24/7 Support**  
  Our dedicated support team is always available to assist with setup, optimization, and troubleshooting.

Learn more about our Tesla H100 offerings in our guide on [[RTX 4090 for High-End Computing|RTX 4090 for High-End Computing]].

For purchasing options and configurations, please visit [https://en.immers.cloud/signup/r/20241007-8310688-334/ our signup page].