Lenovo NVIDIA HGX H200 141GB 700W 4-GPU Board C3V2

New Lenovo NVIDIA HGX H200 141GB 700W 4-GPU Board C3V2 – Next-Generation AI Acceleration

The Lenovo NVIDIA HGX H200 141GB 700W 4-GPU Board C3V2 represents a fundamental leap forward in enterprise AI infrastructure. Designed for the most demanding large language model (LLM) training, fine-tuning, and inference workloads, this 4-GPU SXM module delivers the highest memory bandwidth and compute density available in the NVIDIA H200 ecosystem, purpose-built to handle trillion-parameter models with unprecedented efficiency.

Why the HGX H200 Redefines Enterprise AI

The H200 GPU sets a new performance standard for generative AI and high-performance computing (HPC). With 141GB of HBM3e memory and 4.8 TB/s of memory bandwidth, it achieves 1.9x higher performance on Llama 2 and 1.4x higher performance on GPT-3 175B compared to the previous-generation H100 . This memory advantage is particularly critical for inference workloads, where larger models and longer context windows demand higher memory capacity and bandwidth to minimize latency.

Key Architectural Advantages

The H200 Memory Advantage

The 141GB HBM3e memory is the defining feature of the H200 generation. For enterprises running production AI workloads, this translates to:

• Larger Models on a Single GPU: Run Llama 2 70B and GPT-3 175B models without sharding across multiple GPUs, reducing inter-GPU communication overhead and improving inference latency.

• Extended Context Windows: Handle longer documents, larger codebases, and more complex reasoning tasks without hitting memory limits.

• Higher Batch Sizes: Process more inference requests simultaneously, improving throughput and reducing cost per token.

• Future-Proofing: As models continue to grow, the H200’s memory capacity provides headroom for next-generation architectures.

Performance Leadership Across Workloads

Large Language Model Training

The H200 delivers up to 1.9x higher performance on Llama 2 compared to the H100 . The combination of higher memory bandwidth and improved tensor core throughput accelerates both dense and sparse model training, reducing time-to-market for new AI products.

Inference at Scale

For production inference, the H200’s memory bandwidth advantage is transformative. GPT-3 175B inference performance improves by up to 1.4x , enabling lower latency responses and higher throughput for customer-facing applications.

High-Performance Computing

For scientific computing and simulation workloads requiring double-precision math, the H200 delivers 34 TFLOPS FP64 and 67 TFLOPS FP64 Tensor Core performance, making it suitable for climate modeling, computational fluid dynamics, and quantum chemistry simulations.

Enterprise-Grade Reliability and Support

NVIDIA-Certified Systems

This Lenovo HGX H200 board is designed for integration into NVIDIA-Certified Systems™ with 4 or 8 GPU configurations . These systems undergo rigorous validation to ensure enterprise-grade reliability, performance, and security.

NVIDIA AI Enterprise

The H200 supports the NVIDIA AI Enterprise add-on, providing enterprise-grade software, security patches, and support for production AI deployments.

Warranty and Support

This board comes with a 3-year return-to-base repair or replace warranty, providing peace of mind for mission-critical deployments. Lenovo’s global support network ensures rapid response times and minimal downtime.

Multi-Instance GPU (MIG) for Workload Consolidation

With support for up to 7 MIG instances at 16.5GB each , the H200 enables workload consolidation across multiple users and applications. This capability allows enterprises to:

• Maximize GPU Utilization: Run multiple smaller workloads simultaneously on a single GPU.

• Guaranteed Quality of Service: Isolate workloads with dedicated compute and memory resources.

• Reduce Infrastructure Costs: Consolidate workloads across fewer GPUs, reducing capital expenditure.

Cooling and Power Considerations

The H200 board utilizes a liquid closed-loop cooling system with thermal heatsinks, enabling sustained peak performance without thermal throttling. Key considerations for deployment:

• Power: Each card has a configurable TDP up to 700W, requiring adequate power delivery and cooling infrastructure.

• Cooling: Liquid cooling is required for optimal performance and reliability.

• System Integration: This board is designed for integration into NVIDIA-Certified Systems with 4 or 8 GPU configurations.

Ideal Use Cases

The Lenovo NVIDIA HGX H200 is purpose-built for:

• Large Language Model Training: Train and fine-tune Llama 2, GPT-3, and custom foundation models.

• Generative AI Inference: Deploy production-grade LLMs with low latency and high throughput.

• Multimodal AI: Train and run models combining text, image, and video understanding.

• Scientific Computing: Accelerate simulations and complex calculations in research and engineering.

• Enterprise AI Platforms: Build and scale enterprise AI platforms with NVIDIA AI Enterprise.

Availability and Ordering Information

This product is currently out of stock, with expected delivery in late December 2024. Given the high demand for H200-class hardware, we encourage enterprise customers to secure allocation early.

Important Ordering Notes:

• All sales are final—no returns or cancellations.

• For bulk inquiries (quantities of 10+), please consult a live chat agent or call our toll-free number for customized pricing and delivery schedules.

Contact Us Today

The Lenovo NVIDIA HGX H200 141GB 700W 4-GPU Board C3V2 is the most advanced AI acceleration platform available for enterprise workloads. With 141GB HBM3e memory, 4.8 TB/s bandwidth, and industry-leading tensor core performance, it delivers the compute, memory, and scale required for next-generation AI applications.

For enterprise customers seeking to deploy this hardware at scale, our team is available to discuss integration, support, and volume pricing.

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