Accelerated Computing
Accelerate AI with the Right Compute Strategy
CDW helps organizations modernize CPU and GPU platforms to deliver AI performance, efficiency, and control—without rebuilding the data center.
Why Accelerated Compute Matters for AI Workloads
Traditional data center refresh models weren’t designed for AI workloads. Treating AI like a standard refresh often leads to overinvestment, misaligned architectures, and underutilized resources.
AI Workloads Require Tailored Solutions
AI workloads vary widely in intensity and design. Some benefit from GPU acceleration, while many run efficiently on modern CPUs with built-in AI engines. Treating all AI the same leads to misaligned architectures and unnecessary cost.
Accelerated Compute Can’t Live in One Place
Latency, data gravity, and compliance often require AI workloads to run outside the cloud. Accelerated compute enables AI inference and analytics to run on-prem, in hybrid environments, or at the edge—where performance and control matter most.
Overaccelerating Drives Unnecessary Spend
Defaulting to GPUs or mismatched CPU/GPU configurations often leads to overinvestment and underutilized resources. The right acceleration strategy aligns compute to workload intent—delivering performance without excess complexity.
Most enterprise AI initiatives succeed not by building more infrastructure—but by accelerating the right compute paths.
Why CDW for your Accelerated Compute Needs
AI performance isn’t about stacking the newest hardware — it’s about placing accelerated compute where it matters most. CDW helps you align your workloads with the right CPU, GPU, and accelerator mix, optimize your platform for Azure Local or hybrid deployments, and design an infrastructure strategy that delivers low-latency, high-performance AI exactly where you need it.
Choose the Right Acceleration Path
CDW brings together silicon, platforms, and validated server designs to deliver accelerated AI compute—without expanding scope beyond what workloads require.
AMD EPYC™ processors provide high core density and memory bandwidth to accelerate data-intensive and scale-out AI workloads. Designed for throughput and performance-per-watt where efficient CPU-driven acceleration matters most.
Intel® Xeon® 6 processors deliver built-in AI acceleration for inference, analytics, and mixed workloads, enabling organizations to run AI efficiently on CPUs. Ideal for scaling everyday AI workloads with predictable performance and cost control.
NVIDIA’s accelerated computing platform delivers powerful GPU performance for the most demanding AI workloads, including large-scale training and high-intensity inference, where massive parallel processing is required.
Validated Platforms for Accelerated Compute
Validated designs. GPU support. Security, lifecycle services, and scalability.
Dell PowerEdge platforms—including the PowerEdge XE series—are purpose-built for accelerated computing, supporting dense CPU and GPU configurations for AI training and inference. Modular designs help organizations scale AI acceleration without overbuilding the data center.
HPE delivers accelerated compute through platforms like HPE ProLiant and HPE Cray systems, engineered for CPU- and GPU-dense AI workloads. These validated designs support high-performance acceleration with enterprise-grade security, cooling, and lifecycle services.
Azure Local: Where Accelerated Compute Lives
Azure Local unifies on-prem, hybrid, and edge environments so AI workloads run where performance, latency, and data sovereignty demand — all managed through one Azure consistent control plane.
Local Execution for AI Workloads
Run inference, analytics, and data‑intensive AI workloads close to your data for lower latency and better performance.
Unified Management with Azure Arc
A single control plane for policy, security, and lifecycle management across datacenter, hybrid, and edge environments.
CDW Validated Hybrid Architecture
CDW delivers validated designs, governance frameworks, and lifecycle services that align your silicon + server choices to Azure Local.
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Your Accelerated Compute Strategy Starts Here
Whether you’re enabling AI inference, scaling data-intensive workloads, or modernizing compute for hybrid execution, CDW helps you choose the right acceleration path—without rebuilding your entire data center.
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