How does the H200 enhance generative AI and LLM development?

With its large memory and optimized architecture, the H200 is ideal for training and running generative AI models and large language models. It enables faster, more efficient, and scalable solutions for cutting-edge AI applications.

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Starts from $2.50/ GPU-hour

Accelerate AI Innovation with NVIDIA H200 Cloud GPUs

Train with the NVIDIA® H200 GPU cluster with Quantum-2 InfiniBand networking

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Top-down view of an NVIDIA H200 GPU module showcasing eight high-performance GPUs arranged in two rows, each with a gold NVIDIA-branded heatsink, mounted on a black server board with high-bandwidth connectors and cooling components.

Higher Memory Capacity

The H200 features 141 GB of HBM3e memory, nearly double the capacity of the H100.

Increased Memory Bandwidth

With 4.8 TB/s of memory bandwidth, the H200 offers 1.4X more bandwidth than the H100, enabling faster data processing

Enhanced AI Performance

The H200 is optimized for generative AI and large language models (LLMs), allowing for faster and more efficient AI model training and inference.

NVIDIA H200 Tensor Core GPU

The NVIDIA H200 Tensor Core GPU is built to transform generative AI and high-performance computing (HPC) workloads with breakthrough performance and memory efficiency. As the first AI NVIDIA GPU to feature HBM3e technology, the H200 delivers significantly faster and larger memory—enabling real-time training and inference for large language models (LLMs), as well as accelerated scientific discovery in HPC applications.

With the NVIDIA H200 GPU cluster available on GMI Cloud, you can unlock next-gen computing power for the most demanding AI models, LLM workloads, and high-throughput HPC pipelines.

Future-Proof Your AI with GMI Cloud and the H200

The NVIDIA H200 marks a new era in AI infrastructure — offering dramatic gains in memory, bandwidth, and energy efficiency. With GMI Cloud’s exclusive early access to this next-generation AI NVIDIA GPU, organizations can accelerate complex AI workloads, train large models faster, and stay ahead in the rapidly evolving machine learning landscape.

H200 cloud servers are now available for reservation on GMI Cloud. Don’t miss the opportunity to harness the most powerful GPU for AI — purpose-built for scale, speed, and intelligent deployment. Contact us today to reserve access and future-proof your AI infrastructure.

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Don’t miss out on the opportunity to deploy the most powerful GPU resources in the world.

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자주 묻는 질문에 대한 빠른 답변을 저희 사이트에서 확인하세요 자주 묻는 질문.

어떤 유형의 GPU를 제공하나요?

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The NVIDIA H200 Tensor Core GPU is a next-generation graphics processor designed to accelerate generative AI and high-performance computing workloads. Through GMI Cloud, users gain access to this advanced GPU with exceptional performance and scalability for AI models.

분산 교육을 위한 GPU 클러스터링과 네트워킹을 어떻게 관리하시나요?

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The H200 nearly doubles the memory capacity of the H100 and provides significantly higher memory bandwidth, enabling faster data processing and improved efficiency for large-scale AI workloads.

어떤 소프트웨어 및 딥 러닝 프레임워크를 지원하며, 이를 얼마나 사용자 정의할 수 있습니까?

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우리는 pip와 conda를 사용하여 고도로 사용자 정의 가능한 환경을 갖춘 텐서플로우, 파이토치, 케라스, 카페, MXNet 및 ONNX를 지원합니다.

GPU 가격은 얼마이며 비용 최적화 기능을 제공합니까?

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Using the H200 in the GMI Cloud environment provides exclusive access to state-of-the-art GPU resources. This helps accelerate project timelines, optimize costs, and maintain a competitive advantage in the rapidly evolving field of AI and machine learning.

How can users access the H200 GPU on GMI Cloud?

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The H200 is available for reservation through GMI Cloud. Customers can secure access today to leverage one of the world’s most powerful GPUs for their AI projects.