# RAVEL CEO Denise Muyco says AI factories need orchestration, not just more GPUs

Digest AI · Enterprise & Industry · published 2026-10-23T15:13:07Z

Canonical: https://digestai.news/story/ravel-ceo-denise-muyco-says-ai-factories-need-orchestration-not-just-m

## Summary

RAVEL co-founder and CEO Denise Muyco argues that the AI infrastructure challenge is not a shortage of GPUs but a systems-engineering problem of making distributed, heterogeneous compute work together efficiently. In an interview, she describes AI factories as integrated ecosystems spanning compute, networking, storage, power, cooling, and operational layers across multiple sites and providers. Muyco identifies three structural mismatches: constrained power availability, ecosystem fragmentation across isolated environments, and limited visibility into total cost of ownership. She says federation connects infrastructure across environments into a common operational plane, while intelligent orchestration decides where workloads run based on capacity, power, cost, policy, resiliency, and sovereignty. RAVEL's Orchestrate AI product provides this orchestration layer across cloud, on-premises, and hybrid infrastructure. Muyco defines sovereign AI as policy-defined control over workloads—data, models, compute, access, security, and jurisdiction—not merely data residency. She says RAVEL treats sovereignty requirements as constraints within the orchestration layer, allowing workloads to run across federated sites that satisfy those policies. The company originated in media and visual effects, where it solved similar resource-sharing problems for roughly 30 Vancouver studios, and has since expanded to serve data centers, service providers, enterprise IT, AI research groups, and creative studios.

## Key points

- Muyco says AI infrastructure inefficiency stems from bottlenecks beyond GPUs, including storage, networking, scheduling, and software-stack mismatches
- RAVEL Orchestrate AI coordinates workloads across cloud, on-premises, and hybrid environments using telemetry and policy
- Sovereign AI is defined as policy-defined control over the full AI environment, not just data residency

## Why it matters

As AI compute becomes distributed across clouds, private data centers, and sovereign environments, orchestration and federation may matter more than raw GPU count for cost, utilization, and compliance.

## Sources

1. [Denise Muyco, Co-Founder and CEO of RAVEL](https://unite.ai/denise-muyco-co-founder-and-ceo-of-ravel-interview-series) (Unite.AI, 2026-10-23)

## Cite

Digest AI, "RAVEL CEO Denise Muyco says AI factories need orchestration, not just more GPUs", 23 October 2026, https://digestai.news/story/ravel-ceo-denise-muyco-says-ai-factories-need-orchestration-not-just-m

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