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WHAT WE DO

Optimize Your Infrastructure for AI

Most environments were not designed and built for AI workloads, massive datasets, or distributed AI workflows. This creates performance bottlenecks, rising cloud costs, and new security risks. ePlus helps you design and deploy an AI-ready infrastructure optimized for speed, scalability, security, and operational efficiency.

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Why Optimized AI Infrastructure Matters

AI workloads demand high-throughput compute, low-latency networking, reliable data pipelines, and Zero Trust security. Traditional infrastructure cannot meet these requirements at scale. ePlus builds architectures specifically for AI—helping organizations eliminate performance limits, reduce cost and operational risk, and support rapid AI adoption across hybrid environments.

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HOW ePLUS CAN HELP

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What compute platforms are required for scalable AI workloads?

High-Performance Compute for AI: AI models require powerful, GPU-accelerated compute for training of inferencing and running efficiently. ePlus designs and deploys platforms including NVIDIA^® DGX, SuperPOD^TM, HGX, and high-density GPU nodes—matched to your training and inference needs. We support on-prem, hybrid, colocation, NeoCloud, and GPU-as-a-Service consumption models to help you scale reliably and cost effectively.

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What network architecture is needed for GPU training and inference at scale?

High-Performance Networking for AI: AI places heavy demands on the network. ePlus designs InfiniBand and high-performance Ethernet fabrics for both distributed training and large-scale inference. We build backend fabrics for GPU-to-GPU communication and frontend fabrics for north south traffic and application access—leveraging NVIDIA Spectrum, Cisco, Juniper Networks, Arista, Ciena, and Nokia platforms with automation and tuning for low latency and high throughput.

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Design storage platforms to support large AI datasets and fast model training

Storage and Data Architecture for AI: AI requires fast, reliable access to massive datasets. ePlus designs high-throughput storage solutions using Everpure, NetApp, Dell, WEKA, Hammerspace, and Qumulo to support training data, model checkpoints, and real-time inference. Our architecture optimizes data mobility, ingestion workflows, and hybrid deployments, so your data becomes an accelerator—not a bottleneck.

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Find and reclaim the most affordable memory: the capacity you already own

Memory Optimization and Reclamation Assessment: The global semiconductor market is being disrupted, creating a supply-and-demand shift that is driving up prices and lead times for the standard memory and storage upon which we all rely. ePlus developed our Memory Optimization and Reclamation Assessment to provide a data-driven path to reclaim and right-size your existing memory capacity. You’ll be able to streamline remediation with optional automated execution, ensuring your infrastructure is optimized to meet actual performance requirements without manual guesswork.

Learn more

https://discover.eplus.com/memory-optimization-and-reclamation-assessment

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Protect data, models, and AI pipelines

Security for AI Workloads: AI introduces new security challenges as sensitive data and models move across distributed systems. ePlus builds Zero Trust architectures with identity controls, micro-segmentation, and strong governance. We design, implement, and integrate with industry-leading tools to provide model-aware threat detection, runtime protection, and compliance-aligned safeguards for regulated industries.

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How can teams maintain reliability across complex AI pipelines?

Observability, Monitoring and AIOps for AI: AI environments demand full-stack visibility. ePlus provides observability across compute, networking, storage, applications, and AI services. Our AIOps Maturity Assessment identifies monitoring gaps and tool overlaps, helping you shift from reactive to proactive operations with predictive analytics and automated detection of issues affecting training and inference pipelines.

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Simple to use AI Factory—without the cost or complexity

ePlus Private AI Infrastructure-as-a-Service: Access to GPU capacity and power is a prevalent concern for organizations building AI solutions. Public cloud options can prove to be expensive for some, procurement cycles for on-prem hardware slow for others, and managing complex infrastructure can stretch internal teams. Our Private AI Infrastructure-as-Service helps to remove these barriers by delivering your infrastructure, custom-built and production-ready, specifically for your needs and use case.

Learn more

https://discover.eplus.com/ai-ignite/private-ai-infrastructure-as-a-service

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Test and validate AI infrastructure before deployment

The ePlus AI Experience Center provides hands-on access to NVIDIA GPU clusters, high-performance networking, storage platforms, and real-world AI workloads. Teams can benchmark performance, validate architectures, explore MLOps use cases, and learn best practices before launching full-scale deployments—reducing risk and accelerating time to value.

Learn more

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WHY ePLUS

Our Unique Differentiators

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Dual NVIDIA Certifications

ePlus is certified by NVIDIA as both a DGX-Ready Managed Services Partner and a DGX SuperPOD Certified Partner—ensuring your AI infrastructure is designed, deployed, and supported to the highest standards.

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End-to-End AI Expertise

From compute, networking, and storage to security, observability, and AIOps, ePlus delivers the full AI infrastructure stack with consulting, deployment, and 24×7 operational support.

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Validated Real-World Experience

The ePlus AI Experience Center provides real-world testing, architecture validation, and hands-on demonstrations of the complete AI lifecycle—reducing risk and accelerating adoption.