Bernie Margulies

CEO, American Compute

Bernie leads program business at American Compute. His background spans technology investment, insurtech leadership, and underwriting for emerging asset classes. Previously held C-suite and senior roles at venture-backed insurance and technology companies.

Articles

Where to Buy GPU Servers
OEMs, brokers, used vs refurbished, warranties, and what to check before you write a $200K+ check for GPU hardware.
When a GPU Dies in Production
How GPU failures are detected, what causes them, what they cost in training and inference, and the full replacement workflow from RMA to validation.
AI Data Center Stakeholders
Every stakeholder in an AI data center project: power providers, lenders, colos, OEMs, VARs, brokers, consultants, ITADs, and more. Three project lifecycles show how they assemble differently for hyperscalers, neoclouds, and enterprises.
Data Center Tiers Explained
What data center tiers actually measure, how certification works, the history of the Uptime Institute standard, notable fraud cases, and what tiers miss about AI workloads.
Private Credit and Asset-Backed Securities for GPU Financing
How private credit, ABS, and SPVs became the primary funding mechanism for AI infrastructure. History from Ginnie Mae to GPU-backed bonds, with aircraft and taxi medallion precedents.
GPUs as Loan Collateral
What makes good collateral, how GPUs compare to aircraft, railcars, and other established asset classes, and what lenders should evaluate when underwriting GPU-backed loans.
How to Underwrite AI Infrastructure Investments and Why GPU Financing Fails
Demand is easy to secure for AI infrastructure as of 2026. The real risk is deployment: power, permitting, construction, and hardware delivery. Here is how to evaluate schedule risk for data center builds and GPU cluster rollouts.
Bare Metal for AI Compute
Bare metal means renting a physical server with no virtualization layer. For GPU compute, bare metal is becoming the default because the hardware is the product, cloud premiums don't justify themselves at full utilization, and AI coding tools let any team build its own stack.
AI Cluster Cost Breakdown: CapEx
What goes into the Bill of Materials for an AI cluster: GPU servers, InfiniBand networking, storage, infrastructure, and real BOMs at 16-GPU, 576-GPU, and 24,576-GPU scale.