Standing up an “AI factory” on your own hardware or a neo-cloud looks attractive for cost and control, but it’s hard to operate. Teams juggle multiple runtimes and drivers, fight for capacity, and get locked into a single vendor.
Hyperscalers are driving customers to a vertical solution and GPUaaS from a neocloud provider might not entice users to switch. Utilization stays low, bursts cause outages, and every new workload means more manual setup.
The result: infrastructure bottlenecks, wasted compute, and unexpected downtime.
FlexAI delivers a workload-first AI Compute platform for neo-clouds, Cloud Service Providers and private AI clouds
FlexAI installs on your GPUs (datacenter, sovereign cloud, private cloud) and gives you a vertical, intent-driven control plane. We help you control capex, maximize users and increase the returns on your spend
Maximize Infrastructure
- Multi-tenancy and Autoscaling support in control plane supports Elastic GPU resource provisioning
- Fixed Slices (MIG) and Time-Slicing support in Hardware
- Fair-share policies to prevent noisy-neighbor slowdown
- Managed checkpoints keep long jobs progressing based on health and metrics
- Drive to 100% utilization across all nodes with no wasted capacity
Diversify Compute
- Multi-architecture support (NVIDIA, AMD, and other accelerators) so you’re never locked in
- Match workload to the best hardware class for price/performance
- Simple policy rules to prefer or exclude vendors, regions, or SKUs
Automate Operations
- Service Provider admin view for Tenant Provisioning and Onboarding
- Developer-friendly UI/CLI with Jupyter SDK support;
- Tenant IT-friendly admin view with role-based access (RBAC) and quota management
- Built-in scheduling, retries, and placement logic—no custom scripts
- Unified observability with dashboards on cost, performance, and health metrics
Support Any Workload
- One platform for pretraining, fine-tuning, inference, and RAG solutions
- Provide containers, Baremetal services as well as managed AI services side-by-side without reconfiguring clusters
- Consistent APIs so teams can move from prototype to production without refactors
Future-Proof AI Deployment
- Scale across regions and burst to public cloud when queues build
- Hybrid patterns out of the box: on-prem steady state, cloud for peaks
- Policy-as-code for residency and routing to meet compliance requirements
Expand Private AI
- Keep data and models under your control with sovereign and on-prem options
- Enterprise-grade security, auditing, and isolation for regulated workloads
- Maintain autonomy while retaining cross-cloud freedom
Benefits
- No infrastructure bottlenecks: Launch and scale workloads without queueing or manual setup.
- No wasted compute: Sustain >90% GPU utilization with automatic right-sizing and dynamic scaling.
- No downtime: Checkpoints, smart placement, and burst-to-hybrid patterns keep services available.
- Lower cost, longer runway: Up to 50% lower compute spend by eliminating idle capacity and picking the best-fit hardware.
- Faster time to value: Jobs can launch in under 60 seconds with zero DevOps overhead.
- Launch and scale wSovereignty and control: Own your data, choose your region, and avoid single-vendor lock-in.orkloads without queueing or manual setup.
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