The Nvidia H200 141GB graphics card is a leading solution for high-performance computing (HPC), delivering powerful AI acceleration and extreme memory bandwidth. Chinese manufacturers and suppliers like WECENT provide OEM and wholesale access, offering customizable and certified Nvidia H200 GPUs tailored for enterprise-grade HPC and AI workloads.
How Does the Nvidia H200 Enhance HPC and AI Workloads?
The Nvidia H200 accelerates HPC and AI applications with its advanced Hopper architecture, delivering massive parallel processing capability paired with 141GB of memory. This enables efficient training and inference for large models and complex simulations, reducing time-to-insight.
The NVIDIA H200 enhances HPC and AI workloads by providing massive parallel processing through its advanced Hopper architecture. With 141GB of high-speed memory, it can handle very large datasets and complex models efficiently, allowing faster training and inference for AI applications.
This capability reduces time-to-insight for enterprises running demanding simulations, scientific calculations, or large-scale AI models. By enabling higher computational throughput and efficient memory use, the H200 helps organizations scale their HPC and AI tasks without needing to expand hardware excessively. WECENT can provide these GPUs along with support and validated configurations, ensuring smooth integration into enterprise IT and research environments.
What Are the Technical Specifications of the Nvidia H200 HPC GPU?
Equipped with 141GB high-bandwidth memory, support for PCIe Gen 5, and multi-instance GPU (MIG) functionality, the H200 offers flexibility, scalability, and power efficiency. WECENT provides factory-original cards that meet global quality certifications for reliability in mission-critical environments.
The NVIDIA H200 HPC GPU comes with 141GB of high-bandwidth memory, enabling it to handle very large datasets and complex computations efficiently. It supports PCIe Gen 5, allowing faster data transfer between the GPU and other system components, and features multi-instance GPU (MIG) functionality, which lets a single GPU be partitioned into multiple instances for flexible and scalable workloads.
These specifications make the H200 highly suitable for AI training, HPC simulations, and enterprise-level applications that demand high performance and reliability. WECENT supplies factory-original H200 cards that meet global quality standards, ensuring dependable operation in mission-critical environments while supporting large-scale deployments and optimized energy efficiency.
Which Industries Benefit Most from Nvidia H200 GPUs?
Finance, healthcare, scientific research, and cloud service providers use the Nvidia H200 to accelerate AI, big data analytics, and simulation workloads. WECENT supplies these sectors with specialized, OEM-customized GPUs that fit diverse HPC cluster requirements.
Why Should Enterprises Source Nvidia H200 GPUs Through WECENT?
WECENT ensures authentic OEM products, competitive pricing, and extensive customization options for enterprise clients. Their expertise supports seamless integration of Nvidia H200 GPUs in HPC servers, accelerating computational capacity while maintaining compliance and warranty coverage.
Who Are the Primary Users of the Nvidia H200 Graphics Card?
Research institutions, AI companies, and cloud data centers deploying large-scale HPC clusters rely on Nvidia H200 GPUs for their superior computational performance and memory capacity, benefiting from WECENT’s reliable supply channels.
When Is the Best Time to Upgrade HPC Infrastructure with Nvidia H200 GPUs?
Businesses should align upgrades with AI deployment strategies or HPC performance goals. WECENT facilitates timely procurement and integration, enabling refresh cycles that maximize ROI and maintain cutting-edge infrastructure.
Where Can Organizations Purchase OEM Nvidia H200 141GB GPUs?
Based in Shenzhen, China, WECENT offers direct sourcing, OEM customization, and global shipping of Nvidia H200 GPUs. Their genuine products come with full manufacturer warranties and professional after-sales support.
Does WECENT Provide Customization Services for Nvidia GPUs?
Yes, WECENT offers OEM and ODM services including firmware tuning, branding, and packaging modifications, tailoring the Nvidia H200 to specific enterprise requirements.
Are Nvidia H200 Cards Compatible with Current HPC Systems?
The Nvidia H200 is compatible with most modern HPC infrastructures supporting PCIe Gen 5 and can be integrated into clusters for cloud and on-premise environments, enabling flexible deployment options.
Can WECENT Support Large-Scale GPU Cluster Deployments?
WECENT’s extensive experience in large-scale IT deployments and certified manufacturing partnerships enable them to provide scalable HPC GPU solutions, including Nvidia H200 clusters customized to client needs.
WECENT Expert Views
“WECENT is proud to offer the Nvidia H200 141GB GPU, a revolutionary product designed to meet the ever-growing demands of HPC and AI computing. Our factory-direct OEM and wholesale services ensure enterprises receive authentic, high-performance GPUs with tailored customization options and global certification. We are committed to empowering clients to achieve unparalleled speed and efficiency in their data-driven projects.”
– WECENT HPC Solutions Director
Nvidia H200 GPU Specifications Chart
| Specification | Details |
|---|---|
| GPU Architecture | Nvidia Hopper |
| Memory | 141GB High-Bandwidth Memory (HBM3) |
| Interface | PCIe Gen 5 |
| Multi-Instance GPU (MIG) | Supported |
| Performance | Up to several petaflops (AI workloads) |
| Power Consumption | Optimized power efficiency |
| OEM Customization | Firmware, branding, packaging |
Conclusion
The Nvidia H200 141GB graphics card provides unmatched compute power for HPC and AI applications. WECENT, as an experienced OEM supplier and distributor, offers reliable access to these advanced GPUs with extensive customization and support. Enterprises leveraging WECENT’s services gain a competitive HDPC edge with scalable, certified, and cost-effective solutions.
Frequently Asked Questions
Q1: What is the memory capacity of the Nvidia H200?
It offers 141GB of high-bandwidth memory.
Q2: Can WECENT customize Nvidia H200 GPUs?
Yes, including firmware and branding customization.
Q3: What industries commonly use the Nvidia H200?
Finance, healthcare, scientific research, and AI cloud providers.
Q4: Does WECENT provide warranty and after-sales support?
Absolutely, with full manufacturer-backed warranty coverage.
Q5: Is the Nvidia H200 compatible with existing HPC clusters?
Yes, it supports PCIe Gen 5 and integrates smoothly with modern HPC systems.
What are the key benefits of the NVIDIA H200 141GB GPU?
The H200 delivers massive 141GB HBM3e memory with 4.8 TB/s bandwidth, accelerating large AI models and HPC workloads. It offers faster LLM inference, improved energy efficiency, and lower total cost of ownership compared to H100, enabling advanced scientific computing, generative AI, and complex data analysis within existing power and cooling constraints.
How does the H200 improve generative AI performance?
The H200 significantly speeds up large language model inference, enabling faster responses for chatbots, content creation, and real-time AI applications. Its high memory bandwidth and capacity allow single-GPU execution of tasks that previously required multi-GPU setups, optimizing efficiency and throughput in enterprise AI deployments.
Why is the H200 suited for HPC workloads?
With 141GB ultra-fast HBM3e memory and 4.8 TB/s bandwidth, the H200 reduces bottlenecks in memory-bound scientific simulations, computational fluid dynamics, genomics, and complex data processing. Its architecture maximizes HPC performance while maintaining energy efficiency, making it ideal for demanding server environments.
How does the H200 optimize data center efficiency and TCO?
The H200 delivers higher performance within the same ~700W power profile as H100, supporting dense server configurations and Multi-Instance GPU (MIG) setups. This reduces energy consumption, cooling costs, and total operational expenses while providing flexible, scalable infrastructure for generative AI and HPC workloads.