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Explore the power of Nvidia H200 for AI model training

Nvidia launched the H200 on November 13, 2023, a cutting-edge graphics processing unit (GPU) designed to train and deploy the advanced technologies driving the current generative AI revolution. Customized based on artificial intelligence model. The new GPU is an upgrade from its predecessor, the H100, which OpenAI used to train its most complex language model, GPT-4. The limited supply of these chips has sparked fierce competition among large companies, startups and government agencies.

Nvidia H200 GPU.webp

H100 chips cost between $25,000 and $40,000, according to Raymond James estimates, and large numbers of these chips must be combined to facilitate training of the largest models, a process It’s called “training.” The impact of Nvidia's AI GPUs on the market has led to a significant surge in the company's stock price, up more than 230% so far in 2023. Nvidia expects fiscal third-quarter revenue of approximately $16 billion, an increase of 170% compared with the previous year. The H200 achieves significant advancements by integrating 141GB of cutting-edge "HBM3" memory, enhancing the chip's performance during "inference." Inference involves deploying a trained model to generate text, images, or predictions.

Nvidia claims that the H200 generates output nearly twice as fast as its predecessor, the H100, and testing using Meta's Llama 2 LLM proves this. The H200 will be released in the second quarter of 2024 and will compete with AMD's MI300X GPU, which has similar attributes and also has enhanced memory capabilities to accommodate large inference models.

A significant advantage of H200 is its compatibility with H100, allowing AI companies currently using older models to seamlessly integrate the new version without having to change their server systems or software. The H200 can be integrated into four- or eight-GPU server configurations via Nvidia's HGX complete systems, and there's also a chip called the GH200 that combines the H200 GPU with an Arm-based processor. The H200's dominance as Nvidia's fastest AI chip may be temporary, however.

While Nvidia offers a variety of chip configurations, significant advancements typically occur every two years when manufacturers adopt new architectures, unlocking capabilities beyond pure memory Significant performance improvements from additions or other minor optimizations. Both the H100 and H200 are based on Nvidia's Hopper architecture. In October, Nvidia told investors it would transition to a one-year release model instead of a two-year architecture cadence due to high demand for its GPUs. The company shared a slide suggesting that a B100 chip based on the upcoming Blackwell architecture will be announced and released in 2024.


Article source:   https://www.cnbc.com/2023/11/13/nvidia-unveils-h200-its-newest -high-end-chip-for-training-ai-models.html

Nov 22, 2023|0740
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