NVIDIA and CDW
AI is no longer a single application or model – it is essential infrastructure, built on five layers: energy, chips, infrastructure, models and applications. NVIDIA provides the accelerated computing platform for every layer of that stack. CDW helps customers turn those possibilities into the right AI factory, enterprise AI software, services and deployment model.
From Energy to Applications
The Five-Layer Cake of AI Factories
AI adoption requires more than GPUs. Every successful AI application pulls on every layer beneath it. From the applications that create business value, down through models, infrastructure, chips and the power that makes it all possible.
NVIDIA provides an accelerated computing platform across that stack. CDW helps organizations assess readiness, map workloads to the right solutions and build an AI strategy designed for long-term success.
Applications
Where economic value is created
Models
Foundation, domain and multimodal AI
Infrastructure
AI factories that manufacture intelligence
Chips / Accelerated Compute
Energy converted into computation at scale
Energy
Power, efficiency and data centre readiness
AI Use Cases Driving Business Transformation
Enterprise AI is moving from experimentation to production. Agentic AI – systems that reason, retrieve information, use
tools and take action – is enabling a new class of applications across customer service, research, security and operations.
Enterprise AI Assistants
Improve productivity and automate workflows with AI assistants that connect to your enterprise data and act on it.
Agentic AI Workflows
Deploy specialized agents that plan, reason and act across business processes.
Industry Solutions
Accelerate innovation across healthcare, financial services, manufacturing, retail and public sector environments – from customer service operations to drug discovery to software vulnerability analysis.
Sovereign AI
Support AI innovation while maintaining control over data, regulatory requirements, governance and national priorities.
Building the AI Factory
AI factories are built to manufacture intelligence. That takes integrated compute, networking, storage, software and operations working together on a foundation of adequate power and cooling.
NVIDIA delivers the full-stack platform. CDW helps organizations assess facility readiness, map workloads to the right architecture and move from pilot to production.
Infrastructure
Readiness
Assess power, cooling, data centre requirements and the right deployment model, including on-premises and sovereign deployments where data residency is non-negotiable.
Accelerated
Computing
Match AI workloads to the right NVIDIA platforms and reference architectures, starting from the workload, not the spec sheet.
Enterprise
AI Platforms
Implement NVIDIA AI Enterprise, NIM microservices, NeMo and AI Blueprints.
Start Small, Scale to the Data Centre
NVIDIA DGX Spark
Not every AI project starts in a data centre. NVIDIA DGX Spark™ puts Grace Blackwell architecture on a developer's desk, so teams can prototype, fine-tune and test reasoning models locally, then deploy the same software stack to production infrastructure without rewriting it.
Powered by the NVIDIA GB10 Grace Blackwell Superchip with 128 GB of memory and the NVIDIA AI software stack preinstalled, NVIDIA DGX Spark delivers up to one petaFLOP of AI performance¹ and runs models up to 200 billion parameters locally.
Enterprise AI Software, Models and Platforms
Building enterprise AI requires more than infrastructure. Organizations need models they can trust, plus the software to customize, secure, govern and deploy them at scale.
NVIDIA software platforms help organizations accelerate development, simplify deployment and operationalize AI across the enterprise.
NVIDIA AI Enterprise
A cloud-native software platform that streamlines the development and deployment of production-ready AI solutions – and the umbrella that NIM, NeMo and Blueprints are delivered under.
NVIDIA Models and NIM
Llama Nemotron language models and Cosmos Nemotron vision language models – available in Nano, Super and Ultra tiers and deployable as NIM microservices anywhere, from PC to data centre.
NVIDIA NeMo, Run:ai and AI Blueprints
Customize models on your own data, apply guardrails and connect AI to enterprise content with NeMo Retriever. NVIDIA Run:ai orchestrates GPU resources across cloud, on-premises and hybrid environments with enterprise visibility and governance. AI Blueprints provide pre-configured workflows for assistants, research tools and customer service.
NVIDIA and CDW
AI Services
AI creates new workflows, new roles and new business value. CDW supports the full transformation from readiness and architecture through deployment, enablement and adoption.
Assess
Evaluate AI readiness, infrastructure and power requirements, governance objectives and sovereign AI considerations.
Design
Build the right AI architecture, software stack and deployment strategy.
Deploy
Implement NVIDIA-powered AI solutions across infrastructure, software and applications.
Optimize
Scale adoption, governance, performance and operational outcomes – including enablement and training for the teams operating them.
1. Theoretical FP4 TOPS using the sparsity feature.