Technical Specifications
Architecture
Hopper
Memory
141GB HBM3e
Tensor Cores
4th Generation
Memory Bandwidth
4.8 TB/s
Interconnect
NVLink 4.0
Use Cases
LLM Training, AI Inference, Deep Learning, HPC, Scientific Computing
Overview
The NVIDIA H200 Tensor Core GPU is built for demanding AI, machine learning and high-performance computing workloads. Featuring 141GB of HBM3e memory, fourth-generation Tensor Cores and ultra-high memory bandwidth, it significantly accelerates large language model training, generative AI inference, scientific simulations and enterprise AI applications.
GPUWorld provides enterprise NVIDIA H200 GPU servers with custom configurations, scalable infrastructure, high-speed networking, dedicated storage and deployment options suitable for cloud, research institutions, AI startups and enterprise data centers.
Frequently Asked Questions
What is NVIDIA H200 used for?
The NVIDIA H200 GPU is designed for AI model training, large language model inference, high-performance computing, scientific research and enterprise AI deployments. It provides significantly larger memory and bandwidth than previous Hopper GPUs
How much memory does NVIDIA H200 have?
The NVIDIA H200 includes 141GB of HBM3e memory with up to 4.8 TB/s memory bandwidth, making it ideal for large AI models and memory-intensive workloads
Can I customize an H200 GPU server?
Yes. GPUWorld offers customizable NVIDIA H200 GPU servers with enterprise CPUs, NVMe storage, high-speed networking and multiple GPU configurations to meet AI and HPC requirements.
