NVIDIA H100 GPU HBM3 94GB 350W PCIE/NVL

NVIDIA H100 NVL: Revolutionizing Large Language Model Deployment

The NVIDIA H100 NVL is designed to meet the demands of deploying massive large language models (LLMs) like ChatGPT at scale, offering unmatched performance and memory capacity tailored for AI workloads.

Memory and Bandwidth for LLMs

The H100 NVL features a full 6144-bit memory interface (1024-bit per HBM3 stack) with memory speeds reaching up to 5.1 Gbps. This results in a maximum memory throughput of 7.8 TB/s, more than double that of the H100 SXM. For LLMs, which require large buffers and high bandwidth, this improvement can significantly enhance performance.

Unparalleled LLM Deployment Capabilities

Each H100 NVL card integrates 96 GB of HBM3 memory per GPU, with a total of 188 GB across its dual-GPU configuration (94 GB per GPU). With its dual-GPU NVLink interconnect, the H100 NVL is capable of processing up to 175 billion ChatGPT parameters in real time.

For large-scale deployment, a single server with four H100 NVL cards can deliver up to 10x the speed of a traditional DGX A100 server with eight GPUs, making it ideal for customers aiming to scale their LLM infrastructure rapidly.

Dual-GPU Design with NVLink

The H100 NVL introduces NVIDIA’s first dual-GPU design in years, specifically engineered for data centers and AI workloads. This setup consists of two PCIe cards connected via three NVLink Gen4 bridges, enabling seamless GPU-to-GPU communication.

While the H100 NVL doesn’t introduce new architectural features beyond the Hopper architecture’s transformer engines, its high memory capacity and NVLink connectivity make it a standout for LLM deployments.

Memory Capacity: A Competitive Edge

The H100 NVL offers 188 GB of HBM3 memory, the highest buffer size available in the Hopper lineup. This capacity ensures optimal performance for LLM inference and other memory-intensive workloads, cementing its position as the most powerful PCIe H100 variant.

Performance Highlights

• 12x GPT-3 Inference Throughput: When compared to the last-generation HGX A100 (8 H100 NVLs vs. 8 A100s), the H100 NVL delivers 12 times the inference throughput for GPT-3-175B.

• Hopper Architecture Advantage: Powered by transformer engines, the H100 NVL leverages Hopper’s architecture for significant performance gains in LLM tasks.

Purpose-Built for LLMs

The H100 NVL is not just another GPU; it’s a purpose-built solution for scaling AI language models. With its unmatched memory, bandwidth, and dual-GPU design, the H100 NVL is poised to redefine large-scale AI model deployment for enterprises and researchers alike.

NVIDIA H100 NVL vs. NVIDIA H100 GPU HBM3 PCI-E: Tailored for Different AI Demands

The NVIDIA H100 NVL and H100 GPU HBM3 PCI-E represent two cutting-edge options in NVIDIA's Hopper lineup, each optimized for distinct use cases in AI and high-performance computing.

NVIDIA H100 NVL: Purpose-Built for Multi-GPU AI Clusters

• High-Speed GPU Interconnect: Equipped with NVLink Gen4, the H100 NVL enables ultra-fast GPU-to-GPU communication, making it the go-to solution for dense, multi-GPU AI clusters.

• Memory and Bandwidth: Features 188 GB of HBM3 memory (94 GB per GPU) with a 6144-bit memory interface, delivering up to 7.8 TB/s bandwidth—more than double the throughput of the H100 SXM.

• Large Language Model Optimization: Specifically designed for deploying massive LLMs like ChatGPT, capable of handling up to 175 billion parameters in real-time. Four H100 NVL GPUs in a single server can achieve 10x the speed of an eight-GPU DGX A100 system.

• Power and Cooling: With a 350W TDP, the H100 NVL requires robust cooling solutions to maintain performance in high-density deployments.

• Key Use Cases: Ideal for cutting-edge AI research, LLM deployment, and environments where NVLink’s high-speed interconnect is critical for scalability.

NVIDIA H100 GPU HBM3 PCI-E: Flexibility Meets High Performance

• Broad Compatibility: Operates on the PCIe interface, offering compatibility with a wider range of systems and avoiding the need for NVLink setups.

• Advanced Memory Technology: Utilizes 94 GB of HBM3 memory, combining the power of Hopper architecture with the flexibility of PCIe.

• Balanced Power and Cooling: Rated at 350W TDP, requiring robust cooling similar to the H100 NVL, but without the added complexity of NVLink-based systems.

• Key Use Cases: Ideal for enterprises seeking advanced AI acceleration with plug-and-play compatibility in existing infrastructure.

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Comparative Highlights

Choosing the Right GPU for Your Needs

• H100 NVL: For environments prioritizing large-scale LLMs, high memory bandwidth, and multi-GPU setups, the NVL delivers unmatched performance and scalability.

• H100 GPU HBM3 PCI-E: For enterprises looking for high-performance GPUs without committing to NVLink infrastructure, the PCI-E variant provides the perfect balance of power and compatibility.

Both GPUs represent the forefront of NVIDIA's Hopper architecture, empowering organizations to tackle AI and HPC challenges with efficiency and precision.

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