The NVIDIA H200 GPU features 141GB of HBM3e memory and an ultra-high bandwidth of 4.8TB/s, making it ideal for enterprise AI and HPC workloads. With configurable TDP up to 700 watts and the advanced Hopper architecture, it delivers faster training, higher memory capacity, and better energy efficiency compared to the H100. WECENT integrates H200 GPUs into optimized server solutions for maximum performance.
How Does the NVIDIA H200 GPU’s Architecture Improve AI and HPC Performance?
The H200 uses NVIDIA’s latest Hopper architecture, incorporating enhanced fourth-generation NVLink with 900GB/s GPU-to-GPU interconnect and PCIe Gen5 support for rapid data transfer. Its Transformer Engine supports FP8 precision, balancing speed and accuracy for training large AI models. These enhancements allow enterprises to achieve approximately 1.9x higher throughput than the H100, boosting efficiency for generative AI and HPC tasks.
What Are the Memory and Bandwidth Capabilities of the H200 GPU?
The H200 offers 141GB of HBM3e memory, nearly double that of the H100, and a memory bandwidth of 4.8TB/s. This ensures that memory-intensive AI models and scientific computations run without bottlenecks. Enterprises leveraging WECENT’s solutions benefit from sustained high-speed performance and the ability to process massive datasets effectively.
The NVIDIA H200 GPU has a huge memory capacity of 141GB, which is almost twice what the previous H100 offered. This extra memory allows it to handle very large AI models or complex scientific calculations without slowing down. Its memory bandwidth is also extremely high at 4.8TB/s, meaning data can move in and out of the GPU extremely quickly.
For businesses using WECENT’s IT solutions, this combination of large memory and fast bandwidth ensures smooth, uninterrupted performance even with massive datasets. It allows enterprises to run advanced AI, big data, and high-performance computing tasks efficiently, reducing wait times and improving overall productivity.
Which Power and Thermal Design Features Are Configurable in the H200?
The H200 SXM variant supports a configurable TDP up to 700W, while the NVL PCIe variant goes up to 600W. This allows data centers and server operators to optimize power consumption based on cooling infrastructure and workload requirements. Efficient power management reduces operational costs while maintaining high performance for demanding AI and HPC applications.
The H200 server comes with flexible power and cooling options that let companies adjust how much energy it uses. One version, called SXM, can be set to use up to 700W, while another, NVL PCIe, goes up to 600W. This flexibility helps data centers match the server’s energy use to their cooling systems and the tasks it’s running. By managing power carefully, the server can stay fast and efficient without wasting energy.
This means businesses can save on electricity and cooling costs while still running heavy workloads like AI programs or high-performance computing. Adjusting these settings makes the system both reliable and cost-effective, which is why configurability is a key feature for modern enterprise
How Does the NVIDIA H200 Support Multi-GPU Scalability and Compute Precision?
The H200 enables up to 7 Multi-Instance GPUs (MIGs) per GPU, with 18GB or 16.5GB per instance depending on the model. It supports multiple precision formats, including FP8, BF16, FP32, and INT8, allowing enterprises to tailor computation to specific AI or HPC workloads. This flexibility ensures optimal performance across diverse applications without sacrificing accuracy.
What Form Factors and Interconnect Options Does the H200 Offer?
The H200 comes in the SXM form factor for high-density data centers and a dual-slot PCIe NVL variant for air-cooled servers. Both support NVIDIA NVLink with up to 900GB/s bandwidth and PCIe Gen5 x16 interfaces, ensuring fast data communication and scalable deployment. These options allow enterprises to customize GPU configurations based on server and workload requirements.
How Is WECENT Positioned as an Authorized Supplier of the NVIDIA H200 GPU?
WECENT supplies original NVIDIA H200 GPUs integrated into enterprise-grade servers with expert consultation and full lifecycle support. From selection and installation to maintenance, WECENT ensures clients achieve optimal performance and scalability. Trusted by industries such as finance, healthcare, and education, WECENT helps organizations deploy high-performance AI and HPC infrastructures efficiently.
Why Is the H200 GPU Ideal for Modern Enterprise IT Solutions?
With massive memory, high bandwidth, and efficient architecture, the H200 addresses scalable AI and HPC demands. Enterprises using WECENT’s customized solutions benefit from faster inference, higher throughput, and lower total cost of ownership. These features accelerate innovation in cloud computing, big data, and AI workloads, enabling businesses to stay competitive in digital transformation initiatives.
When Should Businesses Consider Upgrading to the H200 GPU?
Businesses working with large language models, complex simulations, or intensive generative AI workloads should upgrade when current infrastructure limits performance or scalability. WECENT ensures seamless integration, helping organizations future-proof IT environments with cutting-edge GPU technology that supports evolving enterprise requirements.
NVIDIA H200 GPU Technical Specifications Table
| Specification | H200 SXM Version | H200 NVL PCIe Version |
|---|---|---|
| GPU Memory | 141 GB HBM3e | 141 GB HBM3e |
| Memory Bandwidth | 4.8 TB/s | 4.8 TB/s |
| Max Thermal Design Power | Up to 700W (configurable) | Up to 600W (configurable) |
| Precision Formats | FP8, BF16, FP32, INT8 | FP8, BF16, FP32, INT8 |
| Multi-Instance GPUs (MIG) | Up to 7 instances @ 18GB | Up to 7 instances @ 16.5GB |
| Interconnect | NVLink 900GB/s, PCIe Gen5 | NVLink 900GB/s, PCIe Gen5 |
| Form Factor | SXM | PCIe Dual-slot (Air-cooled) |
WECENT Expert Views
WECENT emphasizes that the NVIDIA H200 GPU sets a new benchmark for enterprise AI and HPC workloads. Its massive memory and ultra-high bandwidth allow for faster training, reduced inference times, and improved throughput. By combining H200 GPUs with customized server solutions, WECENT delivers scalable, efficient, and cost-effective deployments. Our expertise ensures clients leverage the H200 to optimize AI, big data, and HPC projects with confidence.”
Frequently Asked Questions (FAQs)
What Are the Key Specifications of the NVIDIA H200 GPU
The NVIDIA H200 GPU features Hopper architecture, high-speed HBM3 memory, enhanced tensor cores, and multi-instance GPU support for AI, HPC, and graphics workloads. Its peak performance exceeds 60 TFLOPS for FP8 operations. WECENT offers access to original H200 GPUs with guaranteed compliance, ideal for enterprises seeking maximum computational efficiency.
How Does NVIDIA H200 Hopper Architecture Boost Performance
Hopper architecture in the H200 GPU delivers advanced parallel processing, improved energy efficiency, and optimized tensor cores for AI workloads. Its modular GPU design supports multi-instance virtualization for diverse enterprise applications. Decision-makers can leverage WECENT’s supply of H200 GPUs to enhance AI model training and HPC computations efficiently.
What Performance Benchmarks Does the NVIDIA H200 Achieve in Gaming and AI
The H200 GPU excels in AI model training, inference, and HPC simulations. Benchmarks show up to 2x performance improvements over the previous generation, supporting large-scale data processing and multi-tasking. Ideal for enterprises needing high throughput, WECENT provides reliable H200 units for consistent, production-ready performance.
How Much Memory and Storage Does the NVIDIA H200 GPU Offer
Equipped with high-bandwidth HBM3 memory, the NVIDIA H200 offers up to 80GB per GPU, optimized for AI, graphics rendering, and large datasets. It supports multi-instance memory partitioning for parallel workloads. For organizations deploying high-demand GPU applications, WECENT ensures authentic H200 GPUs with verified memory specifications.
What AI and Deep Learning Features Are Enabled by NVIDIA H200
The H200 GPU supports FP8 tensor cores, sparsity acceleration, and multi-instance GPU functionality for deep learning. It enables fast training of large neural networks, AI inference, and HPC optimization. Enterprises can achieve superior AI performance and scalability by integrating H200 GPUs into their data center infrastructure.
What Are the Power and System Requirements for NVIDIA H200 GPU
The NVIDIA H200 requires a 400–600W power supply per GPU, PCIe 5.0 or CXL 1.1 connectivity, and adequate thermal cooling (up to 450W TDP). Rack space and airflow must support enterprise deployment. Proper planning ensures optimal performance and stability in AI and HPC servers.
How Can You Safely Overclock and Optimize the NVIDIA H200 GPU
Optimizing the H200 involves tuning clock speeds, managing voltage, and using software utilities to maximize tensor and memory throughput. Overclocking should maintain thermal limits to prevent hardware degradation. For professional setups, WECENT provides guidance and tested configurations to ensure safe performance optimization.
How Does NVIDIA H200 Compare to A100 in Performance and Specs
Compared to the A100, the H200 offers higher FP8 AI throughput, upgraded Hopper architecture, and advanced multi-instance GPU support. Memory bandwidth and tensor performance are significantly improved, providing faster AI and HPC computations. Enterprises upgrading from A100 can benefit from H200’s enhanced efficiency and scalability.