ePlus + NVIDIA® DGX SuperPOD™

Scalable AI Performance

ePlus has expertise in planning, deploying, and supporting NVIDIA DGX SuperPOD—designed for enterprise AI, HPC, and large-scale deep learning workloads. Whether you are training LLMs, running generative AI models, scaling out inferencing, or optimizing scientific computing, ePlus can help you take full advantage of the power of NVIDIA DGX SuperPOD’s pre-configured AI infrastructure.

What is NVIDIA DGX SuperPOD?

NVIDIA DGX SuperPOD is a scalable AI infrastructure solution that delivers exceptional performance, efficiency, and reliability for enterprise AI and high-performance computing. Designed to eliminate infrastructure bottlenecks, it integrates high-performance NVIDIA DGX systems, NVIDIA networking, and AI software to accelerate workloads and reduce deployment complexity.

Scalability

NVIDIA DGX SuperPOD is designed to scale AI workloads effortlessly, supporting multi-GPU, multi-node AI training. Featuring a modular design, NVIDIA DGX SuperPOD allows enterprise customers to increase compute power as AI models grow in complexity, accommodating everything from LLM training and inferencing to scientific research and enterprise AI applications.

Enterprise-Optimized AI Infrastructure

NVIDIA DGX SuperPOD is a fully-integrated AI computing system that includes the latest NVIDIA DGX H200, DGX B200, and DGX GB200 systems. It delivers a pre-configured, high-performance infrastructure that eliminates the complexity of assembling disparate components. With its tightly-coupled compute, networking, and storage architecture, NVIDIA DGX SuperPOD is optimized for ultra-fast AI processing, high-throughput data pipelines, and real-time model inferencing—that meets all enterprise IT requirements.

Software-Optimized AI Stack

NVIDIA DGX SuperPOD is accelerated by NVIDIA AI Enterprise (NVAIE), NVIDIA NeMo^TM, and NVIDIA Base Command^TM, providing a fully-optimized AI software stack for model development, training, and inference. NVIDIA NeMo enables customization of LLMs and generative AI models, while NVIDIA Triton^TM Inference Server ensures high-performance multi-framework inferencing. NVIDIA Base Command enhances cluster management, workload orchestration, and real-time monitoring for AI and HPC environments. It provides automated infrastructure provisioning, dynamic job scheduling and orchestration, and real-time cluster monitoring.

Performance & Reliability

Built for high uptime and AI workload efficiency, NVIDIA DGX SuperPOD features intelligent monitoring, workload optimization, and full-stack AI workload management. Its advanced telemetry and real-time diagnostics ensure that compute resources are always optimized, preventing bottlenecks and maximizing GPU utilization. With NVIDIA and ePlus enterprise-grade support and automated system updates, enterprise can trust NVIDIA DGX SuperPOD to deliver consistent, high-performance AI computing with minimal downtime.

Why Choose ePlus for NVIDIA DGX SuperPOD?

As an Elite Partner in the NVIDIA Partner Network (NPN), ePlus delivers comprehensive NVIDIA DGX SuperPOD managed services, ensuring AI infrastructure is designed, deployed, and optimized for enterprise AI workloads.

Our team specializes in the design and deployment of NVIDIA DGX SuperPOD architectures, customized for AI training, inferencing, and research workloads. We optimize cluster configurations based on workload demands, ensuring seamless multi-GPU scaling, efficient compute resource utilization, and high availability. We assist enterprises in integrating and operationalizing NVIDIA DGX SuperPOD within their existing process, tools, and technologies to maximize infrastructure efficiency.

ePlus is 1 of 10 NVIDIA DGX SuperPOD Managed Services Partners globally, providing proactive monitoring, automated scaling, and continuous workload optimization to ensure your AI infrastructure performs at peak efficiency. Our Advanced Support Services for AI Infrastructure Solutions include AI cluster health monitoring, workload balancing, firmware and software updates, and troubleshooting to keep your NVIDIA DGX SuperPOD environment fully operational and future ready.

Our team integrates and deploys the NVIDIA AI Enterprise (NVAIE) software stack, including NVIDIA NeMo for LLM development, NVIDIA Triton Inference Server for AI inferencing, and NVIDIA Base Command for AI workflow orchestration. Our team fine-tunes software optimizations to maximize model performance and GPU utilization.

ePlus handles the end-to-end deployment of NVIDIA DGX nodes, ensuring high-speed interconnectivity using NVIDIA InfiniBand^TM and high-performance storage integration. Our expertise in AI clustering enables optimized workload scheduling, resource allocation, and parallel computing efficiency across multiple NVIDIA DGX nodes.