XaasIO Solutions · AI
Hybrid AI Factory and AI Token Factory
Build and run AI the way a hyperscaler does, on infrastructure you control. XaasIO AI Factory + HPC trains and fine-tunes models on your GPUs; XaasIO AI Token Factory publishes approved models as OpenAI-compatible, token-metered APIs; the hybrid gateway reaches public frontier models only where policy, data classification and budget allow. XaasIO AI Lake supplies governed context for RAG and agents, and every token is attributed to a team, a project and a key.
Built on XaasIO AI Factory + HPC, AI Token Factory, AI Lake, Kubernetes, SDS, and Compute, with MLT and AI-SRE for operations, BSS and FinOps for token plans, and the IAM Module for identity. Private, sovereign, or air-gapped.
Why now
What Gets in the Way
AI runs on someone else’s terms
Public APIs decide where prompts and data go, how usage is priced and which models exist tomorrow; procurement and compliance are left to catch up.
GPUs without a platform
Servers arrive before the scheduling, serving, metering and governance that turn them into a service, and sit idle while teams build tooling.
Pilots that never reach production
RAG demos on SaaS vector stores and notebooks on laptops cannot pass security review, cost attribution or operations hand-over.
Use cases
What You Can Deliver
Private model APIs for applications
OpenAI-compatible chat, completion and embedding endpoints with virtual keys, quotas, budgets and token metering on your GPUs.
Internal copilots and assistants
Shared or dedicated endpoints behind single sign-on, with guardrails, PII controls and an immutable audit archive.
RAG and agents on governed context
Retrieval from the AI Lake with citations, policy filtering and a knowledge graph; agents with tool permissions, approvals and rollback.
Fine-tuning on enterprise data
Adapters and fine-tuned models trained on lakehouse data, evaluated and promoted through gates before they get an endpoint.
Hybrid routing with a budget
Local-first by default; approved public frontier models reached through the gateway only where policy allows, reconciled against the provider.
GPU as a service for internal teams
Training clusters, workbenches and inference pools offered through the catalog with quotas, showback and chargeback.
How XaasIO delivers it
Build: AI Factory + HPC | Distributed GPU training and fine-tuning, notebooks, pipelines, experiment tracking, evaluation gates, a model registry and Slurm scheduling for batch and simulation workloads. Technical reference: XaasIO AI Factory + HPC · Kubernetes · Slurm · Kubeflow · MLflow |
Serve and meter: AI Token Factory | A private model catalog behind OpenAI-compatible APIs, shared, dedicated, reserved and batch endpoints, keys, rate limits, guardrails and a deduplicated usage pipeline. Technical reference: XaasIO AI Token Factory · vLLM · KServe · AI gateway |
Ground: AI Lake | Iceberg lakehouse, vector database, knowledge graph, Context Lake and Agent Lake, so models and agents retrieve governed, cited context instead of copies of data. Technical reference: XaasIO AI Lake · Qdrant · OpenSearch · Apache AGE |
Hybrid by policy | The gateway routes to private models first and to approved public providers only where data classification, policy and budget allow, with every request logged and metered. Technical reference: AI gateway · Policy engine · Provider reconciliation |
Operate and account | GPU health, queue depth, time to first token and cost per unit in XaasIO MLT; token plans, budgets, showback and invoicing through BSS and FinOps and the Hyperscaler Platform. Technical reference: XaasIO MLT · XaasIO AI-SRE · XaasIO BSS and FinOps · XaasIO Hyperscaler Platform |
Built on the XaasIO lineup
The Platforms and Modules Behind This Solution
Every platform and module below is part of XaasIO Software Lifecycle Management, the framework that gives all 20 platforms and 4 modules one release cycle, signed artifacts and an SBOM per release.
| Platform or module | Lifecycle scope | Layer |
|---|---|---|
| XaasIO Hyperscaler PlatformOptional | Self-service cloud delivery, tenant services, metering and billing | Experience layer |
| XaasIO CMP PlatformOptional | Unified inventory, policy, approvals and infrastructure automation | Experience layer |
| XaasIO AI Factory + HPC PlatformCore | Accelerated AI, scientific computing and high-performance workloads | Service platform |
| XaasIO AI Token FactoryCore | Governed and metered AI inference services | Service platform |
| XaasIO AI Lake PlatformCore | Governed data, lakehouse and enterprise-context foundations | Service platform |
| XaasIO Kubernetes PlatformCore | Container orchestration and Kubernetes cluster lifecycle management | Service platform |
| XaasIO SDS PlatformCore | Software-defined block, object and file storage | Service platform |
| XaasIO Compute PlatformOptional | Private-cloud compute, networking and infrastructure orchestration | Service platform |
| XaasIO BSS and FinOps PlatformOptional | Service catalog, metering, billing, cost allocation and cloud financial management | Service platform |
| XaasIO MLT PlatformCore | Operational visibility across platform health, logs and telemetry | Operations, security and modules |
| XaasIO AI-SRE PlatformOptional | AI-assisted incident analysis, recommendations and human-governed remediation | Operations, security and modules |
| XaasIO Unified Automation PlatformCore | GitOps delivery, event-driven automation, configuration management, image builds and infrastructure as code | Operations, security and modules |
| XaasIO IAM ModuleCore | Identity, authentication and access-management integration | Operations, security and modules |
| XaasIO Backup ModuleCore | Backup policy, scheduling, retention and restore management | Operations, security and modules |
Core platforms are part of every deployment of this solution; optional ones are added when the estate needs them. Platforms without a page of their own yet link to the lifecycle framework.
Before and after
What Changes
| Today | With XaasIO |
|---|---|
| Prompts and data leave the boundary | Private endpoints; public providers only by policy |
| API keys and bills per team, per provider | One gateway, virtual keys, budgets and token metering |
| GPUs allocated by email | Quotas, queues and a catalog with showback |
| RAG on a SaaS vector database | Retrieval from the governed AI Lake with citations |
| Models promoted by hand | Evaluation, license and provenance gates in the registry |
| No operations owner | XaasIO MLT, runbooks and SLA-backed operations |
Who it is for
Built for Organizations Like These
Enterprises building an AI utility
One governed access plane for every application team, with department budgets and private and public routing.
Regulated and sovereign organizations
Prompts, context, weights and usage records that must stay inside a jurisdiction or a boundary.
Service providers and neoclouds
GPU hosting that becomes an AI token service with plans, metering, invoicing and margin visibility.
How to start
From Assessment to Operations
01
1 to 2 weeksBlueprint
Use cases, architecture, security model, data residency, sizing and pilot milestones.
02
4 to 6 weeksPilot
Working inference, RAG and pipelines for one or two priority use cases, with evaluation results and token metering.
03
6 to 12 weeksProduction
Hardening, governance, scale-out, HA patterns, token plans, hybrid routing policy and the operating cadence.
04
OngoingOperate
SLA-backed operations, upgrades, GPU capacity planning and cost-performance tuning.
Durations are typical for a mid-sized estate and are confirmed in the assessment. Every phase ends with a written deliverable and a decision point.
Why XaasIO
One Vendor for the Whole Stack, One Lifecycle for All of It
Validated as One Architecture
The platforms in this solution are tested together, not assembled on site, so the integration burden stays with XaasIO.
Controlled Lifecycle
Every platform and module follows XaasIO Software Lifecycle Management:a release identity, documented patching and upgrade paths, compatibility and rollback procedures.
Software Supply Chain Assurance
Upstream and XaasIO release SBOMs, signed artifacts, license and vulnerability review and SPDX or CycloneDX outputs for audit evidence.
Flexible Operating Model
Customer-operated with XaasIO support, co-managed, fully managed or a dedicated XaasIO SRE Pod, with 16×5 or 24×7 coverage.
Related pages
Frequently asked questions
What makes it hybrid?
Private models and private context by default, with a policy-controlled path to approved public models for the cases that need them. The same gateway, keys, budgets and audit apply to both, and public usage is reconciled against the provider.
Is the API compatible with what our developers already use?
Yes. XaasIO AI Token Factory exposes OpenAI-compatible chat, completion and embedding APIs, so applications change a base URL and a key.
Do we need the AI Lake?
For model APIs alone, no. For RAG, agents and fine-tuning on enterprise data, the AI Lake supplies the lakehouse, vector database, knowledge graph and governed context that keep answers cited and inside policy.
Which accelerators are supported?
NVIDIA GPUs are the validated default; AMD and Intel accelerators and CPU-only inference for embeddings and small models are supported where the runtime and model are validated for the deployment.
How is usage charged back?
Every request produces a usage record with token counts attributed to organization, project and key. Budgets and showback are in the console; invoicing, payments and reseller settlement run through XaasIO BSS and FinOps and the Hyperscaler Platform.
Can it run air-gapped?
Yes. The air-gapped build runs the AI Factory, Token Factory and AI Lake inside the boundary with local registries and signed offline updates, and without the hybrid gateway, so no request can fall back to a public model.
OpenAI, NVIDIA, AMD, Intel, Kubernetes, Slurm, Kubeflow, MLflow, vLLM, KServe, Qdrant, OpenSearch, Apache and other product names are trademarks of their respective owners and are named for identification only. XaasIO is not affiliated with, endorsed by or sponsored by these organizations.
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