NVIDIA H100 NVL 94GB HBM2e Dual-GPU PCIe Module

The NVIDIA H100 NVL is a dual-GPU PCIe module featuring two H100 GPUs with 94GB of HBM2e memory per GPU (188GB total), designed for high-performance compute in standard enterprise server chassis without requiring SXM5 sockets. Each GPU delivers 141.1 TFLOPS of FP8 throughput and 70.6 TFLOPS of FP32, connected via NVLink for peer-to-peer communication and optimized for distributed inference workloads.

Purpose-built for large language model inferencing at scale, the H100 NVL addresses supply constraints affecting SXM variants while maintaining architectural feature parity including Transformer Engine support, fourth-generation NVLink, and PCIe 5.0 connectivity. The dual-GPU module fits into standard PCIe slots, enabling retrofit deployment in existing data center infrastructure without server redesign.

Target deployments span telecommunications, financial services, and public sector organizations requiring high-throughput text generation, reasoning tasks, and multi-concurrent model serving. The 188GB aggregate memory footprint supports inference of large foundation models with extended context windows and batch processing optimization.

Ideal for

• Large language model inference serving (7B–70B+ parameter models) at production throughput in telecom and banking environments
• Multi-model ensemble inference with concurrent request handling across customer-facing AI applications
• Long-context document processing and retrieval-augmented generation (RAG) workloads requiring extended model context
• Batch processing for financial risk modeling, fraud detection, and regulatory compliance analysis
• Real-time conversational AI backends for customer service platforms and enterprise chat applications
• Distributed inference pipelines leveraging NVLink inter-GPU communication for tensor parallelism

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.