Thaki NeoCloud OS

Turn AI infrastructure into a cloud business.

Thaki NeoCloud OS is the cloud platform that helps infrastructure owners turn GPU, server, network, and storage capacity into their own branded, self-service NeoCloud offerings. It connects resource provisioning, tenant management, metering, and cloud service operations.

Animated diagram: an infrastructure operator’s own GPU compute, networking and storage is connected to Thaki NeoCloud OS, a cloud operating platform. A customer requests a GPU instance in the operator’s branded portal, the platform coordinates provisioning and one GPU server is allocated; status and usage from that server appear in the operator view.
Why it matters

Your GPUs are ready. Is your cloud business?

Installing accelerators creates capacity. Delivering that capacity as a repeatable service requires something else: a way for customers to discover resources, request them, provision them, use them, and understand what they consume. Operators also need a consistent way to manage tenants, capacity, service policies, and the infrastructure lifecycle.

Thaki NeoCloud OS is designed to bridge the gap between AI infrastructure and a customer-facing cloud business.

Core model

From infrastructure to your own NeoCloud service.

  1. 01

    Customer Infrastructure

    • GPU servers
    • Compute
    • Network
    • Storage
    • Data center
  2. 02

    Thaki NeoCloud OS

    • Service catalog and ordering
    • Tenant and access management
    • Provisioning and scheduling
    • Network/storage integration
    • Metering and billing workflows
    • SLA/observability
    • Resource lifecycle operations
  3. 03

    Customer NeoCloud Service

    • Operator’s brand
    • Customer console
    • Self-service and API access
    • AI/GPU cloud offerings

You own the infrastructure and the customer relationship. Thaki NeoCloud OS provides the cloud operating and commercialization layer to help deliver your capacity as a service. Specific integrations and operating responsibilities are defined for each deployment.

From capacity to service

The work between a GPU and a cloud customer.

  1. 01

    Package

    Define cloud offerings and service options from available infrastructure capacity.

  2. 02

    Provision

    Connect resource requests to provisioning, allocation, and configured infrastructure workflows.

  3. 03

    Operate

    Manage customer and tenant boundaries, resource status, usage visibility, and lifecycle operations.

  4. 04

    Commercialize

    Connect metered consumption and service information with pricing, billing, and customer-support processes.

Who it fits

Built for the teams turning AI capacity into a service.

Telecommunications operators

Extend owned GPU and data-center capacity into branded AI cloud offerings.

Data-center and IDC operators

Move beyond infrastructure hosting toward customer-accessible GPU cloud services.

AI Factory operators

Build service operations around installed AI infrastructure.

GPU infrastructure providers

Offer capacity through configured catalog, API, and self-service experiences.

Position in the portfolio

Your NeoCloud. Not another shared GPU rental service.

Thaki NeoCloud OS is not a separate Thaki Cloud-operated GPU cloud that customers must resell. It is the platform for organizations building and operating their own NeoCloud services from infrastructure they control.

Distinction

Thaki Cloud’s Cloud Services (Velox, Telox, Paxis Neo) are separate offerings. The NeoCloud OS architecture describes an infrastructure owner’s own cloud service, not a required layer beneath every Thaki Cloud product.

Related newsThaki Cloud Unveils ‘Thaki NeoCloud OS’Press release · October 13, 2026

Turn the infrastructure you own into a service your customers can use.

Whether you’re planning a new GPU cloud or expanding an existing AI Factory, let’s map the operating model, integrations, and service requirements.

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