Turning GPU Investments Into Measurable Outcomes: CDW’s NVIDIA GPU Assessment

Today, we are pleased to announce that CDW is expanding its AI infrastructure services with a new offering designed to help organizations get more value from their GPU investments: the CDW NVIDIA GPU Cluster Assessment.

For many organizations, an emerging challenge is knowing whether those investments are delivering the maximum value possible. Business and technical teams have questions around efficiency, utilization and capacity planning that are often difficult to answer, especially in Kubernetes-based environments where resources are distributed across teams and workloads.

NVIDIA continues to advance GPU observability and orchestration through tools and platforms such as Run:ai, providing deeper insight into infrastructure performance, utilization and workload management.

As an NVIDIA Elite Partner, CDW works closely with NVIDIA to translate those capabilities into practical outcomes. We design and deliver AI environments that are rightsized, cost-conscious and built for day 1 success, supported by experienced delivery engineers who ensure production readiness from the start.

CDW’s NVIDIA GPU Cluster Assessment builds on that foundation, providing a structured, data-driven way to evaluate how GPU environments are performing. The result is greater visibility, better optimization and more confident decisions about scaling AI infrastructure.

GPU demand continues to accelerate across training, inference and research workloads. At the same time, GPU environments are becoming more complex, frequently deployed in Kubernetes clusters and shared across multiple teams and applications. In these environments, common challenges emerge:

• GPUs are allocated but underutilized
• Workloads are unevenly distributed across nodes
• Capacity constraints are perceived but not quantified
• Expansion decisions are made without a baseline

Surfacing this data is critical for making effective AI investment decisions. CDW’s assessment provides a structured, data-driven way to understand what is actually happening inside GPU clusters before costly decisions are made.

CDW’s NVIDIA GPU Cluster Assessment is a time‑bound, diagnostic advisory engagement focused on Kubernetes-based NVIDIA GPU environments. The assessment automates GPU utilization analysis and delivers a detailed graphical report covering five core focus areas: allocation versus utilization, compute and memory usage, workload distribution, capacity headroom and infrastructure efficiency.

The engagement is nondisruptive and does not modify production workloads. Temporary monitoring components are used solely for data collection and are removed after the assessment window concludes.

Rather than relying on snapshots or manual reporting, CDW establishes a measurable utilization baseline over a defined period. The assessment evaluates:

• GPU allocation compared to actual utilization
• GPU compute and memory utilization patterns
• Distribution of workloads across nodes and GPUs
• Available capacity headroom and saturation risk
• Indicators of infrastructure inefficiency

These measurements are collected using NVIDIA-aligned metrics and standard Kubernetes monitoring methods, ensuring accuracy and consistency across environments.

A minimum multi‑day collection window is recommended to ensure representative workload patterns are captured, rather than isolated peaks or idle periods.

At the conclusion of the assessment, customers receive a comprehensive GPU Cluster Assessment report that includes:

• A documented time series GPU utilization baseline
• Allocation efficiency and utilization gap analysis
• Capacity headroom evaluation and growth indicators
• Identification of potential bottlenecks and risks
• Operational, tactical and strategic recommendations

Findings are reviewed in a formal readout session, giving stakeholders a clear understanding of current state and next steps grounded in observed data rather than assumptions.

The assessment is built specifically for Kubernetes-based NVIDIA GPU infrastructures and relies on NVIDIA standard components such as the GPU Operator and DCGM‑derived metrics. This alignment ensures that results meet NVIDIA technical expectations and can be confidently used to support optimization, expansion planning or orchestration initiatives.

As an elite NVIDIA partner, CDW brings deep expertise across AI infrastructure, Kubernetes platforms and GPU operations. The NVIDIA GPU Cluster Assessment is delivered by CDW’s specialized AI Factory services team and leverages a structured, outcome‑driven approach focused on turning raw telemetry into actionable insight.

Rather than simply reporting metrics, CDW helps organizations understand what those metrics mean and how to use them to optimize existing investments, reduce operational risk and plan the next phase of AI growth with confidence.

For many organizations, the GPU Cluster Assessment becomes the first objective baseline in their AI journey — providing clarity where uncertainty previously existed. Whether the outcome is optimization, orchestration or expansion, decisions are grounded in evidence, not guesswork.