Skip to content
View andrewwhitecdw's full-sized avatar
45 followers · 126 following
  • CDW
  • Texas

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Pair Extraordinaire

Block or report andrewwhitecdw

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
andrewwhitecdw/README.md

Andrew White

Managing Technical Consultant, AI Factory Team — CDW

I help enterprise teams plan and implement the transition from AI pilot to production on NVIDIA-based infrastructure, with a focus on systems that are supportable, observable, and aligned to business constraints.

What I deliver

  • AI infrastructure strategy and architecture for enterprise workloads
  • NVIDIA platform planning across DGX, HGX, and certified AI systems
  • GPU cluster design (InfiniBand, Spectrum-X, high-speed Ethernet)
  • Full-stack platform planning across compute, networking, storage, orchestration, and operations
  • Day-2 readiness: utilization visibility, capacity planning, and operational health

Technical scope

I serve as a subject-matter resource on NVIDIA-based AI infrastructure, including:

  • NVIDIA DGX, HGX, and certified AI systems
  • GPU cluster fabric: InfiniBand, Spectrum-X, and high-speed Ethernet
  • NVIDIA AI software stack: CUDA, NVIDIA AI Enterprise, NeMo, NIM, and the NVIDIA Agentic Toolkit
  • AI factory reference designs: BasePOD, DGX SuperPOD, and modular deployment models

I collaborate with NVIDIA and CDW teams where appropriate to align architecture choices with customer requirements, implementation constraints, and operating models.

Selected work focus

I work with enterprise teams on initiatives such as:

  • Defining target-state architecture for AI platform rollouts
  • Mapping workload profiles to infrastructure and network design choices
  • Improving operational readiness before scale-out (monitoring, supportability, runbook alignment)
  • Enabling cross-functional teams (sales, architecture, delivery) around a shared technical plan

Open-source and technical contributions

I contribute to tooling and workflows that improve how organizations build and operate AI infrastructure, including NVIDIA GPU usage monitoring-related work.

Work with me

If you are:

  • Planning a first enterprise GPU cluster
  • Expanding from pilot to production
  • Reassessing utilization, capacity, or platform operating model

You can reach me via:

Views expressed here are my own and do not necessarily reflect those of CDW Corporation.

Popular repositories Loading

  1. Codeep Codeep Public

    Forked from VladoIvankovic/Codeep

    AI coding agent built for the terminal. Multiple LLMs, each optimized for your development workflow.

    TypeScript 1

  2. SWE-AF SWE-AF Public

    Forked from Agent-Field/SWE-AF

    Autonomous software engineering fleet of AI agents for production grade PRs on AgentField: plan, code, test, and ship.

    Go 1

  3. andrewwhitecdw andrewwhitecdw Public

    Andrew White — Managing Technical Consultant on the AI Factory Team at CDW | NVIDIA SME

    1

  4. dag dag Public

    Forked from kpenfound/dag

    Python

  5. checkpoint-engine checkpoint-engine Public

    Forked from MoonshotAI/checkpoint-engine

    Checkpoint-engine is a simple middleware to update model weights in LLM inference engines

    Python

  6. RustGPT RustGPT Public

    Forked from tekaratzas/RustGPT

    An transformer based LLM. Written completely in Rust

    Rust