Breaking the Cloud Monopoly

We're not just another IT consultancy. We're building the future of on-premises AI infrastructure, one GPU at a time.

The Problem We're Solving

Cloud AI costs are spiraling out of control. We have a better way.

90%

Cost Reduction

Average savings when migrating from cloud GPU to on-premises infrastructure

24/7

Full Control

Your data, your hardware, your rules - no vendor lock-in

5ms

Ultra-Low Latency

Edge AI performance that cloud services can't match

From IT Admin to AI Infrastructure Pioneer

Hi, I'm Christopher Rothmeier. After 13 years managing enterprise infrastructure and watching organizations hemorrhage money on cloud services, I decided to prove there's a better way.

What started as frustration with VMware's post-Broadcom pricing (300-1,250% increases!) became a mission: democratize AI infrastructure. Today, I run GPU clusters that outperform major cloud providers at a fraction of the cost.

My journey from managing Active Directory for 5,000+ users at Cablevision to building neuromorphic computing prototypes taught me one thing: the future of AI isn't in someone else's data center—it's in yours.

Read My Research See Current Projects
Christopher Rothmeier
Currently Building

What I'm Building Right Now

Real projects. Real impact. Real savings.

On-Premises GPU Laboratory

Active

Built a production-grade GPU cluster achieving 85% cost reduction vs. cloud services. Running vLLM, Whisper, and custom AI workloads on NVIDIA T4/A4000 GPUs with 10GbE networking.

  • 24GB VRAM for large language models
  • Kubernetes orchestration with GPU operator
  • Prometheus/Grafana monitoring stack
Read the case study →

VMware → Proxmox Migration Framework

Beta

Developed automated migration tools helping organizations escape VMware's new pricing. Successfully migrated 1,500+ VMs with zero downtime.

  • virt-v2v automation scripts
  • GPU passthrough preservation
  • Live migration support in Proxmox 8.4
See the guide →

Secure Healthcare AI Platform

R&D

Architecting HIPAA-compliant LLM deployments with hardware-level isolation. Zero PHI exposure through air-gapped inference pipelines.

  • NVIDIA MIG for workload isolation
  • TPM-based encryption at rest
  • Spiking neural networks for edge inference
Learn more →

Neuromorphic Edge AI Research

Experimental

Exploring brain-inspired computing for ultra-low power AI. 70% energy reduction achieved in sensor processing workloads.

  • Spiking neural network implementation
  • FPGA-based prototyping
  • Sub-millisecond inference latency
Explore the future →

The Evolution of My Stack

From traditional IT to cutting-edge AI infrastructure

2011-2016

Windows Server, Active Directory, VMware vSphere

2017-2020

Azure, M365, Hybrid Cloud Architecture

2021-2023

Kubernetes, Docker, Infrastructure as Code

2024-Present

GPU Clusters, LLMs, Neuromorphic Computing

My Current Arsenal

Proxmox/KVM

Kubernetes

NVIDIA GPUs

LLM/AI Stack

My Approach: Pragmatic Innovation

Cost-First Design

Every solution starts with ROI. If it doesn't save money within 18 months, we find a better way.

Security Without Compromise

Zero-trust architecture, hardware-level isolation, and defense-in-depth strategies that actually work.

Future-Ready Today

Building infrastructure that scales with emerging tech like neuromorphic computing and quantum-resistant encryption.

Coming Soon

Circumplex-AI: Emotion-Aware Customer Service

Circumplex-AI is our next-generation, GPU-accelerated kiosk platform designed to recognize core emotional cues and adapt its responses in real time.

  • • Edge-first processing on NVIDIA GPUs for sub-second latency and privacy-first data handling.
  • • Architected to scale to thousands of daily interactions without cloud round-trips.
  • • Early internal testing indicates meaningful uplift in customer-satisfaction metrics; we'll publish verified pilot results after Q4 2025 field trials.

Why we're building it

Retail faces a widening labor and CX gap. Circumplex-AI aims to close it by pairing high-resolution sentiment insight with adaptive dialogue—delivering empathetic, self-serve support where customers need it most.

Where we are now

Core model architecture: Complete
Edge deployment stack: In active testing
Pilot partner onboarding: Under way

(All performance figures are forward-looking estimates based on lab benchmarks; production results will be published after pilot validation.)

AI Project

Lazarus Labs Innovation

Reach out to join the pilot program

What's Next?

The future is being built in garages and home labs, not boardrooms.

Atomic Agents Framework

Moving beyond LangChain to build transparent, efficient AI agents that enterprises can actually understand and control.

Edge AI Mesh Networks

Designing distributed inference systems that process data where it's generated, not where AWS wants it.

AI Security Frameworks

Building defenses against AI-powered attacks before they become mainstream threats.

While continuing to grow Lazarus Labs, I'm also seeking senior infrastructure roles where I can apply these innovations at scale.

Let's Build Something Connect on LinkedIn