Make AI Infrastructure Work as One
From intelligent workload orchestration and GPU-as-a-Service to real-world infrastructure validation, RAVEL is bringing its approach to making AI infrastructure more connected, efficient, and production-ready to SC26 in Chicago.
As AI infrastructure expands across data centers, clouds and geographic regions, organizations face a growing challenge: making distributed resources work together. Power availability, compute capacity, workload requirements and deployment complexity all influence how effectively infrastructure can be used.
Where to Find RAVEL at SC26
Check out our schedule of activities during the event.
| Date / Time | Location | Event / Session |
|---|---|---|
| Tuesday, 11/17 2:30pm - 3:30pm CST Add to Calendar |
Dept. of Energy Booth #4829 |
Speaking Session: Sandia Labs & RAVEL Presenters: Dave Martinez, Kevin Stroup, Denise Muyco & Philippa Carroll |
| Wednesday, 11/18 3:30pm - 4:30pm CST Add to Calendar |
DDN Booth #4211 |
Speaking Session & Panel: DDN, Supermicro, & RAVEL |
| Thursday, 11/19 11:00am - 12:00pm CST Add to Calendar |
Dept. of Energy Booth #4829 |
Demo: Power-Aware Scheduling with RAVEL Orchestrate AI Presenter: Ryan Sagare |
Want to speak 1:1 with the team at the show?

At RAVEL, we're addressing these challenges with solutions that connect infrastructure, simplify GPU service delivery and help organizations validate technologies before moving into production.
We'll be showcasing three important parts of that approach at SC26, November 17-19 in Chicago: RAVEL Orchestrate AI, our new GPUaaS Interface, and the Amphix AI Infrastructure Platform.
RAVEL Orchestrate AI: Intelligent Workload Orchestration
RAVEL Orchestrate AI federates distributed AI infrastructure across sites, clouds and regions, creating a unified environment for workload management. Its intelligent orchestration layer coordinates workload placement based on power availability, compute capacity, cost, performance, policy and sovereignty requirements.
The result is better resource utilization, more informed workload placement and greater flexibility across distributed infrastructure. We will demonstrate federation capabilities and power-aware scheduling alongside our partners at the event in Chicago.
RAVEL GPU-as-a-Service Interface: From GPU Capacity to GPU Service
RAVEL's new GPU-as-a-Service Interface gives neoclouds, data center operators and service providers the tools to deliver and manage GPU infrastructure as an accessible, on-demand service.
The interface brings together customer access to GPU resources and the operational capabilities needed to manage capacity and deliver GPU services more efficiently.
At SC26, we'll introduce the new interface and demonstrate how it streamlines the delivery and consumption of GPU infrastructure.
AMPHIX: AI Infrastructure Validation and Deployment Ecosystem
AMPHIX connects infrastructure providers, technology partners and customers through an ecosystem built to validate AI infrastructure solutions and accelerate the path from pilot to production.
Through its network of AI Centers of Excellence, AMPHIX provides real-world environments to test workloads, validate integrated solutions and benchmark performance before scaling. Supported by RAVEL and its ecosystem partners, AMPHIX connects validated technologies with the infrastructure and expertise needed for deployment across customer-owned, hosted and distributed environments.
At SC26, we'll highlight the growing AMPHIX ecosystem and opportunities for customers and partners to participate.
One Connected Approach to AI Infrastructure
Each solution addresses a different part of the infrastructure challenge, but together they support a more connected and practical approach to AI deployment:
- RAVEL Orchestrate AI connects distributed infrastructure and intelligently coordinates workloads.
- RAVEL GPU-as-a-Service Interface provides a way to access, manage and deliver GPU resources as a service.
- AMPHIX brings the ecosystem together to validate integrated solutions and move them into production.
Together, they support a more flexible approach to AI infrastructure — one that makes better use of available resources, gives operators greater control and helps organizations move from experimentation to production with greater confidence.
Meet RAVEL at SC26
We'll be in Chicago from November 17-19 to demonstrate our latest capabilities, share what we're building with our partners and discuss how organizations can make their AI infrastructure work harder.
Whether you're looking to optimize distributed AI workloads, deliver GPU infrastructure as a service, validate a new infrastructure solution or explore an AMPHIX ecosystem partnership, we'd welcome the opportunity to connect.
Make AI Infrastructure Work as One.

