699-21010-0230-B00 Nvidia 141GB H200 NVL Tensor Core HBM3e GPU

Nvidia 699-21010-0230-B00 141GB H200 NVL Tensor Core HBM3e Graphics Processing Unit Overview

The Nvidia 699-21010-0230-B00 141GB H200 NVL Tensor Core HBM3e Graphics Processing Unit represents a monumental leap in data-centric computing, engineered to power the next generation of high-performance computing (HPC), artificial intelligence (AI), and large-scale data analytics workloads. As part of Nvidia’s advanced Hopper architecture family, the H200 NVL GPU brings together unprecedented computational throughput, massive memory capacity, and superior bandwidth to deliver revolutionary acceleration for demanding enterprise and data center applications. Designed to meet the growing demands of generative AI, deep learning, and scientific simulation, this GPU establishes new performance benchmarks for AI training and inference at scale.

With its 141GB of high-bandwidth HBM3e memory, the H200 NVL GPU provides extraordinary memory capacity and speed, reducing data movement bottlenecks and enabling larger and more complex models to be processed with exceptional efficiency. Its cutting-edge Tensor Cores, coupled with the power of Nvidia’s NVLink interconnect technology, ensure seamless multi-GPU scaling and robust performance across the most demanding computational tasks. Built for versatility, scalability, and peak performance, the Nvidia 699-21010-0230-B00 is a critical component for data centers aiming to future-proof their infrastructure against evolving AI and HPC workloads.

Architectural Advancements of the Nvidia H200 NVL GPU

The H200 NVL GPU is powered by Nvidia’s Hopper architecture, a sophisticated design that enhances performance across a broad spectrum of workloads, from transformer-based neural networks to high-precision scientific simulations. This architecture introduces key advancements such as the latest-generation Tensor Cores, Transformer Engine, and support for FP8 precision, all of which contribute to massive gains in computational efficiency and model scalability.

Hopper Architecture Innovations

At the core of the Nvidia 699-21010-0230-B00 GPU lies the Hopper architecture, a purpose-built platform engineered to accelerate modern AI and data-intensive applications. Hopper’s new Transformer Engine dynamically switches between FP8 and FP16 precision, optimizing both speed and accuracy for large language models (LLMs) and generative AI. This innovation delivers up to 9x faster training and up to 30x faster inference for transformer-based networks compared to previous-generation architectures. Additionally, Hopper’s second-generation Multi-Instance GPU (MIG) technology allows partitioning of the GPU into isolated instances, providing enhanced resource utilization and flexibility for multi-tenant environments.

Advanced Tensor Core Design

The H200 NVL GPU features the latest generation of Nvidia Tensor Cores, purpose-built for accelerating matrix operations fundamental to AI training and inference. These cores deliver significant improvements in throughput for mixed-precision computations and are optimized for emerging AI workloads such as recommendation systems, deep learning, and generative models. Tensor Cores support a broad range of data types including FP8, FP16, BF16, TF32, and INT8, allowing developers to optimize performance without sacrificing accuracy. This flexibility is essential for modern workloads where precision and speed must be balanced dynamically.

Memory and Bandwidth Capabilities

One of the defining features of the Nvidia 699-21010-0230-B00 GPU is its massive 141GB of HBM3e memory, which is designed to meet the data demands of modern AI and HPC workloads. This next-generation memory technology offers both exceptional capacity and industry-leading bandwidth, enabling faster data access and reducing latency for memory-intensive computations.

HBM3e Memory Technology

HBM3e represents the pinnacle of high-bandwidth memory performance, delivering speeds significantly higher than previous generations. With bandwidth exceeding 4TB/s, the H200 NVL GPU ensures that data is fed to the processing cores at the pace required by today’s largest and most complex workloads. This high bandwidth is particularly critical for applications like deep learning training, where massive datasets and large parameter matrices must be accessed and updated continuously.

Enhanced Model Capacity and Performance

The large memory pool of 141GB enables the H200 NVL GPU to accommodate increasingly large models without the need for complex memory management or offloading data to slower storage tiers. This significantly reduces training times and improves inference performance, particularly for large language models and other data-intensive applications. Furthermore, the high-speed memory interface reduces bottlenecks associated with data transfer, ensuring that the GPU cores remain fully utilized during computation.

Interconnect and Scalability Features

Scalability is a fundamental requirement in modern data centers, and the Nvidia 699-21010-0230-B00 GPU is designed with this principle at its core. Equipped with Nvidia NVLink and NVSwitch technologies, the H200 NVL supports high-speed, low-latency interconnects between multiple GPUs, enabling them to operate as a unified compute engine for massive-scale AI training and inference.

NVLink and Multi-GPU Performance

NVLink provides direct GPU-to-GPU communication with bandwidth far exceeding that of traditional PCI Express connections. This high-speed interconnect allows multiple H200 GPUs to share memory and workload data seamlessly, reducing latency and improving performance for large-scale distributed computing. NVSwitch further enhances scalability by enabling full-bandwidth, all-to-all connectivity between multiple GPUs within a single system, ensuring that large clusters can operate efficiently and without communication bottlenecks.

Optimized for Multi-GPU AI Training

Large-scale AI training often requires the collaboration of multiple GPUs working in parallel. The H200 NVL’s NVLink architecture ensures that these GPUs can communicate efficiently, synchronize parameters rapidly, and scale performance linearly as more GPUs are added. This scalability is essential for organizations developing massive transformer models, training recommendation systems, or performing large-scale simulations that require vast computational resources.

Compute Capabilities and AI Performance

The Nvidia H200 NVL GPU is engineered for exceptional compute performance, delivering unmatched acceleration across a broad range of workloads. Its architecture is optimized for both AI training and inference, offering the computational power required for tasks ranging from natural language processing to high-fidelity simulations.

Peak Performance for AI Workloads

The combination of advanced Tensor Cores, large memory capacity, and high-bandwidth memory enables the H200 NVL GPU to deliver peak performance for AI training tasks. FP8 precision support allows for higher throughput without compromising accuracy, while FP16 and BF16 modes offer additional flexibility for workloads requiring different precision levels. This versatility ensures that organizations can tailor the GPU’s capabilities to their specific use cases, whether training foundational models or deploying real-time inference services.

Accelerating Deep Learning and Generative AI

Deep learning models, particularly those based on transformer architectures, benefit enormously from the H200 NVL’s capabilities. The GPU’s ability to process massive amounts of data in parallel and its optimized support for matrix multiplications significantly reduce training times for complex networks. Moreover, the enhanced memory bandwidth and capacity make it possible to train larger models without encountering memory limitations, enabling new breakthroughs in natural language understanding, image generation, and scientific discovery.

Energy Efficiency and Data Center Optimization

Beyond raw performance, the Nvidia 699-21010-0230-B00 GPU is designed with efficiency and data center integration in mind. Its energy-efficient design helps reduce operational costs while delivering industry-leading performance-per-watt, making it a cost-effective solution for large-scale deployments.

Power Efficiency and Thermal Management

The H200 NVL GPU leverages advanced power management technologies and a highly efficient design to deliver exceptional performance without excessive power consumption. This balance of performance and efficiency is critical for data centers, where power and cooling costs represent a significant portion of operational expenses. The GPU’s thermal design also ensures reliable operation under sustained workloads, maintaining optimal performance over long periods.

Optimized for Dense Deployments

The H200 NVL GPU is engineered to fit seamlessly into high-density server environments, allowing data centers to maximize compute power within limited space and power budgets. Its efficient cooling design, combined with support for multi-GPU configurations, enables organizations to scale their infrastructure effectively while minimizing total cost of ownership.