David Lapsley, Ph.D.
Welcome!
Hi, I’m David! With decades of experience building and managing infrastructure platforms at AWS, Cisco, Startups, and now as CTO of ActualyzeAI, I help enterprises navigate the journey from AI proof-of-concept to production deployment. This blog shares battle-tested patterns, real-world case studies, and practical strategies for the 13% of AI projects that actually make it to production.
Why 87% of AI projects fail isn’t a technical problem (it’s a planning problem). Let’s fix that.
Latest Video
Enterprise AI Infrastructure 101: From POC to Production
Why 87% of AI projects fail—and the proven infrastructure patterns that help you be in the 13% that succeed. Watch more videos →
Recent Posts
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
The Importance of a Secure Development Lifecycle
In today’s digital landscape, security is more crucial than ever. Cyber threats are evolving at an unprecedented pace, and the need to build secure software ...
Current Projects
NVIDIA DGX Spark Hardware Research
Comparing NVIDIA’s integrated AI platform ($3,999) against DIY open-source GPU infrastructure. 8-week testing series covering setup time, performance, cost, and developer experience.
Topics: Hardware comparison, model serving, local AI infrastructure
Tampa Bay Enterprise AI Community
Monthly meetups bringing together CTOs, platform engineers, and business leaders to discuss production AI infrastructure challenges.
Next Event: November 14, 2025 - “Hands-On: Building Production AI Infrastructure with KServe”
Join the community:
Featured Topics
Enterprise AI Infrastructure
Production deployment patterns, Kubernetes for AI workloads, GPU cost optimization, hybrid cloud architectures, and infrastructure that scales from POC to production.
AI Governance & Compliance
HIPAA, SOX, GDPR compliance for AI systems. Data sovereignty, model governance, audit trails, and risk management frameworks for regulated industries.
Cost Optimization & ROI
GPU utilization strategies, spot instance management, resource allocation, chargeback models, and TCO analysis for cloud vs. on-premises AI infrastructure.
MLOps & Platform Engineering
KServe, KubeFlow, model serving, CI/CD for ML, monitoring, multi-tenancy patterns, and building production-grade AI platforms.
Upcoming Content
November 2025: Hands-On KServe Workshop
Step-by-step guide to deploying production AI infrastructure with KServe in 60 minutes. Complete deployment automation scripts and Kubernetes manifests included.
Topics covered:
- Kubernetes cluster + GPU Operator setup
- Istio + Knative installation
- KServe deployment and configuration
- GPU-accelerated InferenceService deployment
- Monitoring with Prometheus, Grafana, and DCGM