
Built for American Express
AI Infrastructure Built for American Express's Workloads.
Efficient. Reliable. Compliant.
As American Express scales generative AI on top of the production fraud and risk models that score every transaction worldwide, infrastructure becomes the difference between acceleration and operational drag.
30-Min Technical Consultation
With WhiteFiber's engineering team. No sales deck, straight to infrastructure.
THE INFRASTRUCTURE CHALLENGE
Real-time fraud scoring, proprietary risk models, and global data sovereignty don't run on the same template.
American Express scores every card transaction worldwide in milliseconds, more than $1.2T in annual volume, on production fraud and risk models that cannot go down. As the model estate behind them grows, that sensitive, latency-critical work needs infrastructure built to match, not generic cloud.
Model ambitions scale faster than standard compute can follow
Fraud, risk, and decision-science workloads grow in complexity and volume before infrastructure catches up. Shared cloud handles today. Engineered infrastructure handles what comes next.
Production AI adds complexity faster than headcount can scale to match
A number of generative AI use cases, tools in the hands of nearly all 76,800 colleagues, and a growing model estate mean more workloads, more data types, and more compliance surface area on the same teams.
Regulated cardmember data limits where you can train and what you can run
Maintaining data boundaries across billions of transactions and a global footprint requires infrastructure designed for those constraints from the start, not compliance controls added as the workload grows.
HOW WE WORK
Production Infrastructure for American Express's Next Phase
WhiteFiber designs, deploys, and operates robust AI infrastructure for regulated enterprises. We partner with our customers to ensure their workloads never outgrow their infrastructure.

Requirements
Map Amex's fraud and risk model training, real-time scoring throughput, SEC / SOC 2 / NIST constraints, and NVIDIA stack requirements into a single infrastructure requirements brief.
Design
Architect dedicated environments for model training and real-time inference. Ensure they are isolated, validated, and built around your performance and latency targets.
Deploy
Deploy across WhiteFiber data centers or co-located infrastructure, direct-to-chip liquid cooling, B300 / GB300 / VR200 clusters, and available dark fiber cross-connectivity.
Operate
Ongoing management with contracted SLAs, continuous optimization as model complexity grows, and a team that understands financial-services compliance, not just ops.

WHY WHITEFIBER
The infrastructure decisions you make now determine what scales later.
WhiteFiber designs, builds, and operates compliant, performant, and scalable AI infrastructure.
Current-Gen GPUs While Others Wait
As an NVIDIA Preferred Partner, WhiteFiber gets B300, GB300 and VR200 systems before the general market. Scaling fraud, risk, and generative workloads becomes a question of readiness, not a place in the queue.
Timelines are contracted, not estimated
For organizations running regulated financial pipelines at scale, that distinction delivers operationalcontrol from day one.
SOC 2 Type II, NIST, and SEC-Aligned From the Ground Up
Validated compute environments so teams can move fast on model development without moving blindon regulatory exposure.
Confidential Compute and Air-Gapped Private AI
For workloads where card member data must never leave a controlled perimeter. Options for sovereign-regions at global scale. Designed for organizations where regulatory confidence is a requirement, not a feature.

The workloads don't wait. Don't let your infrastructure get in the way.
Talk through your workload requirements with WhiteFiber's engineering team. No sales deck, straight to infrastructure.