AI compute capacity, closer to where it’s needed.
Virtual Grid provides access to distributed, battery-backed AI infrastructure designed for advanced GPU workloads, regional deployment, and fleet-level reliability.
Built for teams that need accelerated compute.
Virtual Grid is designed for organizations that need access to GPU-powered infrastructure without relying only on large centralized data centers or long infrastructure timelines.
AI companies
For teams building, deploying, or scaling AI products that require reliable GPU capacity.
Research and innovation groups
For organizations working on compute-intensive AI, simulation, data science, or advanced modelling.
Enterprise AI teams
For organizations developing private AI, internal copilots, RAG systems, and applied AI workflows.
Media, rendering, and simulation users
For workloads that benefit from accelerated compute and scalable GPU access.
Developers and platform companies
For technical teams that need flexible infrastructure for inference, fine-tuning, testing, and deployment.
A practical alternative to centralized-only infrastructure
Traditional data center capacity can be constrained by power availability, build timelines, geography, and latency. Virtual Grid’s distributed model is designed to deploy compute capacity across qualified sites and coordinate that capacity as part of one virtual data center.
Battery-backed infrastructure
Support more flexible site deployment and grid-aware operation.
Fleet-level resilience
Distributed infrastructure reduces reliance on a single physical location.
Scalable deployment model
Add capacity site by site as demand grows.
Operational visibility
Monitor and coordinate infrastructure through proprietary FOMA software.
Regional capacity
Deploy compute closer to users, data sources, and demand.
Designed for advanced AI and GPU workloads
AI inference
Model fine-tuning
Private AI
RAG pipelines
Computer vision
Simulation
Rendering
Data science
Enterprise AI platforms
Regional AI deployments
How compute customers work with Virtual Grid
Share workload requirements
Tell Virtual Grid about your compute needs, workload type, timeline, region, and performance requirements.
Confirm availability
Virtual Grid reviews capacity, deployment timing, technical requirements, and commercial fit.
Activate compute
Approved customers are onboarded to available infrastructure as capacity becomes available.
Scale with the fleet
As the Virtual Grid network expands, customers can access additional distributed capacity over time.
Need GPU compute capacity?
Tell Virtual Grid about your workload and deployment needs. The team will review availability and recommend the appropriate next step.