FlexAI on Neoclouds and AI Factory

Install the FlexAI platform on your GPUs for a Vertical Solution on your own datacenter, sovereign cloud or private cloud.

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

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

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

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

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

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

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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One platform. Any cloud. Any hardware. Anywhere.

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