Scaling Distributed
AI Infrastructure
Without the Mess
Access high-performance GPU compute, cut egress costs by 70%, and stay cloud-agnostic — from training to production inference.
What we'll cover
From diagnosing the broken infrastructure model to a live demo of GPU provisioning across clouds.
The Infra Gap
GPUs are scarce and disconnected from data. Every cloud boundary crossing means egress fees that destroy ROI.
System-Level Orchestration
emma's private networking turns fragmented providers into one unified fabric for orchestrating distributed resources.
One Control Plane
Provision H100, H200, RTX across emma Cloud, AWS, GCP, and Azure from one interface. Managed K8s and 70% egress savings in action.
Training → Inference
Production-ready inference via reusable templates. Same connected infrastructure for training and serving, with automatic data residency enforcement.
Who's presenting
Hear directly from the founders building distributed AI infrastructure and an industry analyst covering the space.
Save your seat
Join infrastructure leaders and AI engineers scaling GPU workloads across clouds without the operational chaos.
Register for the Webinar
With emma's end-to-end platform, organizations can manage, optimize, and orchestrate AI infrastructure for maximum agility, compliance, and ROI. emma combines intelligent orchestration, granular cost allocation, automated policy enforcement, and proactive optimization into a single platform to empower businesses to move faster, scale smarter, and stay ahead in a rapidly changing world.