Faster LLM & transformer training
High-throughput real-time inference
HBM3e-powered 141GB Massive memory
NVLink 4.0 multi-GPU scaling support
The NVIDIA H200 GPU is engineered for the most demanding AI and high-performance computing workloads. Featuring next-gen Tensor Cores and ultra-large HBM3e memory, H200 delivers exceptional performance for large language models, advanced inference, and memory-intensive applications.
Accelerate AI training and inference with powerful Tensor Cores designed to handle massive matrix operations efficiently.
With 141 GB HBM3e memory, H200 enables larger models, longer context windows, and faster data access without bottlenecks.
Optimized for scale, H200 delivers low-latency inference, high throughput, and energy-efficient performance for enterprise and AI data centers.
MRun workloads on fully dedicated GPU hardware including NVIDIA H200, H100, A100, L40S, and RTX series GPUs. Get exclusive resources, consistent performance, and full control—ideal for AI training, LLMs, HPC, and production environments.
View PricingDeploy on-demand GPU instances powered by NVIDIA H200, H100, A100, L40S, T4, and RTX GPUs. Scale instantly with flexible pricing—perfect for testing, development, inference, and short-term AI workloads.
The NVIDIA H200 GPU is purpose-built for memory-intensive AI and inference workloads at scale. Designed for modern data centers, H200 enables faster model execution, smoother large-context processing, and reliable enterprise-grade performance for next-generation AI applications.
Delivers significant inference speed improvements over H100, especially for large language models and long-context workloads.
Handle larger models, higher batch sizes, and 128K+ context windows with reduced memory bottlenecks.
Engineered for high throughput, energy efficiency, and scalability across AI and HPC environments.
Unlock the full potential of NVIDIA H200 GPU Servers with Hostrunway.
Get a Custom QuoteTell us your challenges — our team will help you find the perfect solution.
The NVIDIA H200 GPU is built to push the limits of large-scale AI and high-performance computing. Designed for memory-intensive workloads, H200 delivers massive HBM3e memory capacity, faster inference for large language models, and enterprise-grade scalability for next-generation AI infrastructure.
Can’t find exactly what you need? Let us build a custom dedicated server tailored to your precise specifications. No compromises, just solutions crafted for you.
Selecting the right GPU depends on memory demands, model size, and inference requirements. NVIDIA H200 is optimized for large language models, long-context AI, and memory-intensive inference with its massive HBM3e capacity, while NVIDIA H100 remains a powerful option for balanced AI training and high-performance computing. This comparison helps you decide which GPU best aligns with your performance goals, scalability needs, and workload complexity.
| Feature | NVIDIA H200 | NVIDIA H100 | Recommendation |
|---|---|---|---|
| Architecture | Hopper (Enhanced) | Hopper | Both are enterprise-grade |
| GPU Memory | 141 GB HBM3e | 80 GB HBM3 | H200 for large models |
| Memory Bandwidth | ~4.8 TB/s | ~3.35 TB/s | H200 for memory-heavy AI |
| Tensor Cores | 4th-Gen | 4th-Gen | Equal |
| Transformer Engine | Yes | Yes | Equal |
| LLM Inference Performance | Up to 1.9× faster | Baseline | H200 for inference |
| Context Window Support | 128K+ tokens | Limited | H200 for long context |
| AI Training Performance | Comparable | Strong | H100 for training |
| NVLink / NVSwitch | Yes | Yes | Equal |
| PCIe Support | PCIe Gen5 | PCIe Gen5 | Equal |
| Best For | Large LLMs, RAG, inference at scale | AI training, HPC | Choose by workload |
Whether you’re launching your first application or operating large-scale global infrastructure, Hostrunway delivers complete hosting solutions to support every stage of growth. From dedicated servers and cloud hosting to GPU servers and high-performance workloads, we provide enterprise-grade performance with the flexibility and speed modern businesses need—backed by real experts, not automated scripts.
Whether you’re stuck or just want some tips on where to start, hit up our experts anytime.
The NVIDIA H200 GPU is designed for the next era of AI, where model size, memory bandwidth, and long-context processing define performance. With 141 GB HBM3e memory and ultra-high bandwidth, H200 excels at large-scale inference, massive AI models, and enterprise deployments that demand speed, efficiency, and reliability.
NVIDIA H200 is optimized for today’s largest language models, supporting 128K+ context windows and massive parameter counts. Its expanded memory capacity reduces data movement and enables smoother execution of complex transformer workloads.
H200 accelerates generative AI workloads including text generation, image synthesis, scientific research, and AI-driven discovery. Optimized Tensor Cores and high-throughput memory enable faster experimentation and production deployment.
With industry-leading HBM3e bandwidth, H200 handles large datasets, embeddings, and model states with minimal bottlenecks—perfect for memory-bound AI workflows and advanced analytics.
Designed for continuous operation, H200 supports PCIe Gen5 and NVLink for multi-GPU scaling. Its data-center-ready architecture ensures reliability, power efficiency, and seamless integration into enterprise AI infrastructure.
H200 delivers up to 1.9× faster LLM inference than H100, making it ideal for real-time applications such as chatbots, search, recommendation systems, and retrieval-augmented generation (RAG) pipelines.
H200 is well-suited for HPC workloads that require large memory footprints, such as simulations, modeling, and data-intensive research, delivering consistent performance across complex parallel workloads.
At Hostrunway, we measure success by the success of our clients. From fast provisioning to dependable uptime and round-the-clock support, businesses worldwide trust us. Here’s what they say.
Hostrunway has delivered an exceptional hosting experience. The server speed is consistently high and uptime is solid. Highly recommended!
Outstanding reliability, fast response times, and secure servers. Onboarding was smooth and support is amazing.
Lightning-fast servers and great support team. Secure, stable, and enterprise-ready hosting.
Strong hosting partner! Fast, secure servers and real-time assistance from their tech team.
Excellent performance, great scalability, and proactive support. Perfect for enterprises.
Powerful servers, flawless uptime, and top-tier support. Great value for enterprise hosting.
Get quick answers to the most common questions about the NVIDIA H200 GPU. Learn how its advanced memory, Hopper architecture, multi-GPU support, and enterprise-ready design accelerate AI training, inference, and high-performance computing workloads.
An NVIDIA H200 Dedicated GPU Server provides exclusive access to H200 GPU hardware with 141 GB HBM3e memory, designed for large language models, AI inference, and memory-intensive workloads. All resources are fully dedicated with no sharing.
H200 GPU servers are ideal for LLMs, long-context AI (128K+ tokens), AI inference, retrieval-augmented generation (RAG), generative AI, data analytics, and memory-heavy HPC workloads.
NVIDIA H200 offers significantly more memory (141 GB vs 80 GB) and higher bandwidth, delivering up to 1.9× faster LLM inference compared to H100. It is optimized for inference and large-model execution.
Yes. Hostrunway provides H200 Dedicated GPU Servers in Europe, including Frankfurt (Germany), Amsterdam (Netherlands), and Paris (France), offering low-latency connectivity and EU data residency.
H200 servers include high-speed NVMe SSD storage, delivering low latency and high IOPS for AI datasets, model checkpoints, and inference pipelines.
Absolutely. H200 servers are built for enterprise-grade reliability, PCIe Gen5 connectivity, NVLink support, and 24/7 operation in secure data centers.
Get in touch with our team — whether it's sales, support, or solution consultation, we’re always here to ensure your hosting experience is reliable, fast, and future-ready.
