Seamless Orchestration on Any Cloud, Anywhere

Moving AI workloads between clouds is harder than it should be. Each provider has different GPU types, quotas, regions, pricing, and tools. Refactors creep in. Credits expire. Data residency rules block deployments. Teams end up pinned to one vendor and overpay for capacity that isn’t a great fit.

FlexAI makes it easy to move between clouds  with a unified control layer that lets you run, move, and scale workloads across providers without code changes, while keeping ownership of models and data.

FlexAI-Hosted SaaS with Compute + Sovereign Option

Run on FlexAI’s hosted platform for the fastest path to value, with a sovereign option when data residency matters.

• Launch training, fine-tuning, inference, and RAG in under 60 seconds.
• Keep control of your data with FlexAI storage or leading S3-compatible options.
• Choose EU/region-specific deployments for sovereignty and compliance.
• Features such as autoscale, Sizing Co-Pilot, multi-tenancy, fractional GPUs help  hit your cost and performance targets out of the box.

Hyperscalers: BYOC & Marketplaces

Use your existing cloud accounts and credits on AWS, Azure, Google Cloud, or Oracle Cloud.

• Bring your own cloud (BYOC) and apply marketplace credits first.
• FlexAI provisions the optimal GPU family and region based on latency, budget, and availability.
• One CLI/UI for all environments, with unified monitoring for cost, performance, and utilization.
• Shift workloads between regions or providers as needs change—no refactoring.

Neo-Clouds: BYOC Through Integration

Tap into new providers with attractive price/performance or local capacity (e.g., Valdi, CUDO, Nebius, Scaleway, Denvr, Crusoe, Laine).

• Expand quickly when mainstream regions are constrained.
• Focus on Sovereign options based on your need and regions
• Optimize spend by mixing premium and standard accelerators.
• Maintain the same FlexAI workflow, policies, and observability.
• Keep portability: move the same job template to hyperscalers or on-prem at any time.

Private Cloud / On-Prem & Burst to Hybrid

Keep sensitive workloads on your hardware while bursting to cloud when demand spikes.

• Run inside your VPC or datacenter with policy and audit controls.
• Enforce data/model sovereignty while retaining cross-cloud flexibility.
• Set guardrails for where data lives and where compute executes.
• Burst to public cloud automatically when queues grow, then scale back.