Illuma offers an AI‑driven cloud platform that automatically matches AI/ML, VFX rendering, and container workloads to the most suitable GPU/CPU resources across a global network of partnered data centers, leveraging idle or spot capacity to reduce costs. The service integrates via APIs and native plugins, provides sovereign‑by‑design deployment with SOC 2 Type II and ISO 27001 compliance, and includes real‑time observability and usage‑based billing.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional cloud services require extensive configuration, incur high idle‑resource costs, and often lock users into a single provider, making it difficult for AI, VFX rendering, and container‑based workloads to achieve optimal price‑performance and compliance.
Solution
Illuma delivers an intelligent cloud platform that automatically matches workload requirements to the most suitable compute resources across a global network of partnered data centers. Users specify performance, security, and sovereignty constraints, and the platform activates idle or spot capacity to minimize cost while maintaining peak performance. The service integrates directly into existing pipelines via APIs and native plugins, eliminating manual provisioning and reducing operational overhead. All instances are provisioned with SOC 2 Type II and ISO 27001 controls, and customers can select sovereign regions to meet data‑residency policies. Observability is provided through a unified dashboard that reports utilization, cost, and latency in real time. The model supports AI/ML training and inference, high‑throughput VFX rendering, and container‑as‑a‑service workloads without requiring users to manage servers or orchestration layers.
Target Audience
Primary customers are AI/ML engineers, VFX studios, and development teams that run containerized workloads and need high‑performance compute without managing underlying infrastructure. The platform also serves enterprises seeking sovereign cloud options and cost‑effective scaling for compute‑intensive projects.
Features
- AI‑driven matching engine that selects the optimal GPU/CPU configuration based on workload profile and price‑performance targets
- Global inventory of over 100 GPU/CPU instance types, including NVIDIA A100, H100, RTX 6000, and high‑memory CPUs, sourced from multiple regional providers
- Automatic activation of idle or spot compute to achieve up to 70 % cost reduction versus leading hyperscalers
- Managed Deadline workers and container orchestration that plug into existing VFX pipelines and Docker registries with zero code changes
- Sovereign‑by‑design deployment options with selectable data‑center regions and full control over network routing
- End‑to‑end security compliance (SOC 2 Type II, ISO 27001) and encrypted data in transit and at rest
- Real‑time observability console offering utilization metrics, cost analytics, and automated alerts
- Usage‑based billing with transparent per‑hour rates and no long‑term contracts