NVIDIA H200 Tensor Core GPU

Description

The NVIDIA H200 Tensor Core GPU represents the pinnacle of artificial intelligence and high-performance computing acceleration, delivering game-changing performance and memory capabilities that redefine what’s possible in enterprise AI deployment. Built on the proven NVIDIA Hopper architecture, the H200 is the first GPU to feature 141GB of revolutionary HBM3e memory with 4.8TB/s bandwidth—nearly double the capacity of the H100 with 1.4X more memory bandwidth. This breakthrough in memory technology supercharges generative AI, large language models, and scientific computing workloads while delivering superior energy efficiency and lower total cost of ownership.

Why the NVIDIA H200 is Revolutionary for Enterprise

NVIDIA H200 addresses the most critical bottleneck in modern AI and HPC applications: memory capacity and bandwidth. As AI models continue to grow exponentially in size and complexity, traditional memory limitations have become the primary constraint on performance and capability. The H200 eliminates these constraints, enabling organizations to deploy larger models, process more data simultaneously, and achieve breakthrough performance levels that were previously impossible. This isn’t just an incremental improvement—it’s a transformational leap that opens entirely new categories of applications and business opportunities.

Groundbreaking Memory Innovation

HBM3e Memory Technology: The H200 introduces the industry’s first implementation of HBM3e (High Bandwidth Memory 3 Enhanced) technology, providing 141GB of ultra-high-speed memory with 4.8TB/s of bandwidth. This revolutionary memory system represents a 75% increase in capacity and 40% improvement in bandwidth compared to the H100, enabling the GPU to handle the largest AI models and most complex datasets without performance-limiting memory constraints.

Memory Architecture Advantages: The massive memory capacity enables deployment of larger language models, more complex simulations, and larger datasets entirely within GPU memory, eliminating costly data transfers and dramatically improving performance. The increased bandwidth ensures that this massive memory capacity can be utilized efficiently, preventing bottlenecks that could limit computational throughput.

Exceptional AI Performance Breakthroughs

Large Language Model Inference Revolution: NVIDIA H200 delivers unprecedented performance for large language model inference, achieving up to 2X performance improvement compared to H100 GPUs when handling models like Llama2 70B. This dramatic performance increase enables real-time deployment of sophisticated AI applications that were previously impractical due to latency constraints.

Scalable AI Deployment: For enterprise-scale AI deployments serving massive user bases, this product provides the highest throughput at the lowest total cost of ownership. The combination of increased memory capacity and bandwidth enables higher batch sizes and more efficient model serving, dramatically improving the economics of large-scale AI deployment.

Comprehensive Technical Specifications Comparison

Performance values with asterisk () include sparsity optimization benefits.

High-Performance Computing Excellence

Memory-Intensive Application Acceleration: For HPC applications where memory bandwidth is crucial—such as simulations, scientific research, and complex modeling—NVIDIA H200’s 4.8TB/s memory bandwidth delivers up to 110X faster time to results compared to traditional CPU-based solutions. This dramatic performance improvement enables researchers and engineers to tackle previously intractable problems and achieve breakthrough insights in dramatically reduced timeframes.

Scientific Computing Transformation: The combination of massive memory capacity and exceptional bandwidth makes the H200 ideal for computational fluid dynamics, climate modeling, molecular dynamics, and other memory-intensive scientific applications. Researchers can now run larger simulations with higher resolution and greater accuracy while achieving results in a fraction of the time previously required.

NVIDIA H200 Product Variants and Deployment Options

NVIDIA H200 SXM Configuration

The SXM variant provides maximum performance in liquid-cooled environments, featuring up to 700W configurable TDP and optimized for high-density computing clusters. This configuration is ideal for organizations requiring absolute peak performance for large-scale AI training, complex simulations, or high-throughput inference applications.

NVIDIA H200 NVL Configuration

The NVL variant delivers exceptional performance in air-cooled enterprise environments, featuring up to 600W configurable TDP and PCIe form factor compatibility. This configuration includes a comprehensive five-year NVIDIA AI Enterprise subscription and is optimized for mainstream enterprise deployments that require flexible configurations and broad system compatibility.

Energy Efficiency and Total Cost of Ownership

• Revolutionary Efficiency Gains: NVIDIA H200 delivers unprecedented performance improvements while maintaining the same power envelope as the H100, resulting in dramatic improvements in performance per watt. This efficiency breakthrough enables organizations to achieve significantly higher computational throughput without proportional increases in power consumption or cooling requirements.
• Economic Advantages: For large-scale AI deployments, NVIDIA H200’s improved efficiency translates directly into reduced operational costs. Organizations can achieve higher performance with fewer GPUs, reducing hardware acquisition costs, power consumption, data center space requirements, and operational complexity while improving overall system reliability.

Advanced Enterprise Features

Multi-Instance GPU (MIG) Technology

The H200 supports advanced MIG capability with up to 7 instances, each featuring substantially more memory than previous generations (18GB for SXM, 16.5GB for NVL). This enhanced MIG capability enables more efficient resource allocation, better quality of service guarantees, and improved utilization for multi-tenant environments.

Confidential Computing Security

Both H200 variants include comprehensive confidential computing capabilities that protect data and applications during processing. This hardware-based security ensures that sensitive information remains encrypted and secure even during computation, meeting the stringent requirements of regulated industries and sensitive applications.

NVIDIA AI Enterprise Integration

NVIDIA H200 NVL includes a complete five-year NVIDIA AI Enterprise subscription, providing access to optimized AI frameworks, pretrained models, development tools, and NVIDIA NIM microservices. This comprehensive software ecosystem eliminates deployment complexity and accelerates time-to-production for enterprise AI applications.

Real-World Performance Benchmarks

Large Language Model Performance: This Gpu card demonstrates exceptional performance across various LLM configurations. For Llama2 13B models, the H200 delivers significant throughput improvements with optimized batch sizes. For larger models like GPT-3 175B, multi-GPU H200 configurations provide substantial performance advantages over H100 systems, enabling real-time deployment of sophisticated language models.

HPC Application Performance: Across diverse HPC applications including CP2K, GROMACS, ICON, MILC, Chroma, and Quantum Espresso, the H200 consistently delivers substantial performance improvements. These applications represent real-world scientific computing workloads where the H200’s memory advantages translate directly into faster time-to-solution and improved research productivity.

Target Applications and Use Cases of NVIDIA H200

Generative AI and Large Language Models: The H200 excels in training and deploying the largest generative AI models, enabling organizations to develop custom AI solutions, implement sophisticated chatbots, create content generation systems, and deploy advanced reasoning applications that require extensive memory capacity and bandwidth.

Scientific Research and Discovery: For research institutions and organizations conducting computational science, this GPU accelerates drug discovery, materials science, climate modeling, astrophysics simulations, and other research applications that require massive computational resources and memory capacity.

Enterprise AI Applications: NVIDIA H200 enables deployment of production-scale AI applications including computer vision systems, speech recognition, natural language processing, recommendation engines, and retrieval-augmented generation systems that serve large user bases with stringent performance requirements.

Investment Justification and Business Impact

Transformational Performance ROI: Organizations deploying NVIDIA H200 systems typically experience 2-10X performance improvements across various workloads, enabling new categories of applications and dramatically improving time-to-insight for existing applications. This performance advantage translates directly into competitive advantages and business value.

Infrastructure Consolidation Benefits: The H200’s exceptional performance enables organizations to consolidate workloads onto fewer systems, reducing infrastructure complexity, operational overhead, and total cost of ownership while improving resource utilization and system reliability.

Future-Proofing Investment: NVIDIA H200’s advanced memory architecture and comprehensive software ecosystem ensure compatibility with emerging AI frameworks, larger models, and next-generation applications, protecting infrastructure investments and providing a foundation for continued innovation.

Professional Support and Ecosystem

Comprehensive Platform Support: NVIDIA H200 is available in validated configurations from leading server manufacturers through the NVIDIA HGX and MGX platforms, ensuring optimal performance, reliability, and support. These certified systems eliminate integration complexity and provide confidence in deployment success.

Enterprise-Grade Support: NVIDIA provides comprehensive enterprise support including technical assistance, regular driver updates, optimization guidance, and compatibility validation to ensure maximum performance and reliability in production environments.

The NVIDIA H200 Tensor Core GPU represents the definitive choice for organizations seeking to harness the full potential of next-generation AI and HPC applications, delivering unprecedented memory capacity, exceptional performance, and comprehensive enterprise features that enable transformational business outcomes.