intertie.ai

COMPANY OVERVIEW

Supporting the AI-native future

Dedicated GPU capacity, managed cloud and AI services.

partner@intertie.ai

v5.6.1 · 17 October 2026Platform and services are in development.01 / 06
INTERTIE.aiINTERTIE.ai

Company overview

INTERTIE.ai is developing GPU capacity and managed cloud services for AI workloads.

Infrastructure for the AI-native future

As AI usage and compute requirements evolve, we focus on the next phase of compute and services that customers need to run AI.

Our customers

AI companies, agent developers and enterprise teams.

Our services

Dedicated GPUs, managed cloud, inference, post-training and model access.

Our capacity

Company-owned or partner-reserved GPUs, allocated to each deployment.

Platform and services are in development. Capacity is confirmed for each deployment.

intertie.aiv5.6.1 · 17 October 202602 / 06
INTERTIE.aiINTERTIE.ai

Our services

Customers can buy dedicated capacity, managed operations or a specific AI service.

ServiceCustomer requirementPricing basis
Dedicated GPUsReserve compute for an AI workload.GPU-hours or a capacity reservation.
Managed cloudRun the workload with infrastructure support.Compute resources and a management fee.
Inference and agentsServe models and run the associated tools.Usage or reserved capacity.
Post-training and model accessAdapt a model or connect to model providers.Project fees or API usage.

Service availability and pricing are confirmed for each engagement.

intertie.aiv5.6.1 · 17 October 202603 / 06
INTERTIE.aiINTERTIE.ai

Service architecture and model access

The proposed platform combines model serving with the software needed to run an AI workflow.

Service layers. Model services connect to model selection, usage controls and licensed model access.InfrastructureGPU / CPU · storage · network · monitoringModel servicesInference · model selection · usage controlsAgent runtimeTools · workflow state · queues · recoveryCustomer applicationTask instructions · permissions · business rulesModel accessSelectionCompare task quality, latency and coston the same evaluation.Usage controlProvider permissions, spending limitsand fallback rules.Open modelsHost eligible modelsunder their licences.Closed modelsConnect through provider APIsunder their service terms.

The model gateway is planned. Supported models will be listed after testing.

intertie.aiv5.6.1 · 17 October 202604 / 06
INTERTIE.aiINTERTIE.ai

Customer deployment

A pilot establishes the workload and service requirements before full deployment.

Workload brief → Design → Pilot → Production01Workload briefModels and demand;data and location needs.02DesignCapacity, architectureand service scope.03PilotTest the workloadagainst success criteria.04ProductionConfirm pricing, supportand service levels.

Proposed engagement process; availability and the operating scope are confirmed with the customer.

intertie.aiv5.6.1 · 17 October 202605 / 06
INTERTIE.aiINTERTIE.ai

Contact

Discuss your compute requirement or the AI service you need to run.

Start with the workload

Share the model, expected usage, location and delivery requirements.

Dedicated capacity

GPU type, scale, reservation period and required delivery date.

Managed services

Application scope, operating responsibilities and service levels.

Contact

partner@intertie.ai · intertie.ai/start

intertie.aiv5.6.1 · 17 October 202606 / 06