FOR PROPRIETARY & DIFFERENTIATED AI MODELS

Your model is the product.
We run everything required to sell it.

Deploy private models on dedicated GPU infrastructure, expose production APIs, manage customers, meter usage, optimize inference economics, and operate the service 24×7.

Bring your own GPU capacity, cloud infrastructure, or let IT HUB source the capacity for you.

IT HUB / CONTROL PLANE ● LIVE
PRODUCTION MODEL Private-Code-72B
PRODUCTION
GPU Pool 8 × B300
Output 26.8K t/s
Utilization 82.0%
Gross Margin 70.8%
THROUGHPUT / GPU UTILIZATION / REVENUE
COST / 1M TOKENS $0.21
SELLING PRICE / 1M $0.72
ACTIVE CUSTOMERS 18
WHO IT'S FOR

Built for models customers cannot get anywhere else.

For AI companies whose competitive advantage lives in their model, data, tuning, workflow, or distribution rights—not commodity GPU capacity.

01 / PROPRIETARY MODELS

Own the core IP

Foundation, vertical, and domain model companies with private weights or custom architectures.

Private weights Custom architecture Proprietary training
Maintain control of weights, infrastructure, and customer access.
02 / PRIVATE FINE-TUNES

Own the domain advantage

Specialized models built with private enterprise data, tuning, evaluation, and workflow integration.

Private data RL / Fine-tuning Domain evaluation
Turn domain performance into a monetizable API product.
03 / LICENSED MODELS

Own the commercial rights

Operators with regional, industry, OEM, or customer-segment rights to commercialize a model.

Regional rights Industry rights OEM rights
Run dedicated endpoints under your pricing and brand.
MODEL → REVENUE

One model. One platform. Multiple revenue channels.

Your IP and customer relationship remain yours. IT HUB operates the commercial infrastructure between them.

YOUR IP Private Model
IT HUB COMMERCIALIZATION LAYER
Optimize Deploy Serve Meter Bill Operate
YOUR MARKET Customers
Direct API · Enterprise · OEM · Marketplace
High-density GPU infrastructure operated for private model inference
DEDICATED GPU INFRASTRUCTURE

Production capacity selected around the model—not the other way around.

Network operations team monitoring AI infrastructure
24×7 OPERATIONS

One team across hardware, cluster, and API.

AI platform team operating token services
COMMERCIAL OPERATIONS

Usage, customers, and economics in one view.

Software-led: control plane, optimization, metering, and finance remain the primary product.Operationally grounded: real infrastructure and service operations sit behind every endpoint.
IT HUB CONTROL PLANE

One control plane for the entire inference business.

Technical operations and commercial operations work from the same real-time system.

Models 12 ACTIVE
Model Private-Code-72B
Precision FP8
Context 32K
Runtime SGLang

Manage versions, runtime profiles, and production releases.

Infrastructure HEALTHY
GPU Pool B300-Pool-01
GPU Count 64
Region US-Central
Available 18.4%

Connect bare metal, Kubernetes, Slurm, and cloud GPUs.

Endpoints 99.99%
Endpoint /v1/chat
TTFT 34 ms
Tokens/sec 26,840
Concurrency 384

Operate production OpenAI-compatible endpoints.

Customers 18 ACTIVE
Tenant acme-ai
Product Code-Pro
Rate Limit 500 RPM
Usage 72.4%

Control access, quota, priority, and SLA independently.

Products 6 LIVE
Plan Enterprise
Input Price $0.38 / 1M
Output Price $0.92 / 1M
SLA 99.95%

Convert inference capacity into defined products.

Finance +12.4%
Revenue $128,420
GPU Cost $37,510
Revenue / GPU-hr $14.72
Gross Margin 70.8%

See infrastructure and commercial performance together.

PERFORMANCE ENGINE

Find the most efficient way to run every model.

IT HUB benchmarks models, hardware, and serving configurations to optimize throughput, latency, and cost—not simply install a runtime.

Optimization Target

Recommended Configuration

RUNTIME SGLang
GPU COUNT 8
PRECISION FP8
TENSOR PARALLEL 8
BATCH POLICY Dynamic
PREFIX CACHE Enabled
27.4K TOKENS / SECOND
34 ms TIME TO FIRST TOKEN
$0.19 COST / 1M TOKENS
ECONOMICS ENGINE

Optimize for margin—not only GPU utilization.

Connect infrastructure cost, product pricing, customer consumption, and capacity forecasts in one economic model.

COST / 1M TOKENS $0.21
REVENUE / 1M $0.72
GROSS MARGIN 70.8%
GPU REVENUE / HR $14.72
GPU COST / HR $4.30
GROSS PROFIT / HR $10.42

Monthly Contribution

Revenue $128,420
Infrastructure − $37,510
Operations − $8,920
Contribution $81,990
DISTRIBUTION

Sell your model anywhere.

Deploy once, then commercialize through multiple channels while IT HUB reconciles access and usage.

01

Direct API

Serve developers and applications directly under your brand.

  • OpenAI-compatible API
  • API keys & metering
  • Customer portal
02

Enterprise Endpoint

Deliver dedicated, isolated service for large customers.

  • Dedicated capacity
  • Private networking
  • Enterprise SLA
03

API Aggregators

Connect to marketplaces and aggregators without losing visibility.

  • Provider metadata
  • Usage reconciliation
  • Endpoint monitoring
04

OEM / Reseller

Enable partners to package your model for their markets.

  • White label
  • Custom pricing
  • Dedicated quotas
INFRASTRUCTURE MODEL

Use the infrastructure model that fits your business.

GPU ownership is flexible. The IT HUB control plane and operating model stay consistent.

BRING YOUR OWN CLUSTER

Deploy where you already operate.

IT HUB runs on infrastructure you control.

  • Bare metal & colocation
  • Kubernetes or Slurm
  • Existing GPU fleet
BRING YOUR CLOUD

Use existing cloud commitments.

Deploy inside your public, GPU, or enterprise cloud account.

  • Reserved capacity
  • Enterprise cloud account
  • Existing network controls
IMPLEMENTATION

Model to production in four steps.

01 / BENCHMARK

Validate

Confirm model, workload, performance, and target economics.

02 / DEPLOY

Configure

Select infrastructure and the production serving profile.

03 / PRODUCTIZE

Package

Define endpoints, pricing, quotas, and customer access.

04 / OPERATE

Optimize

Monitor reliability, unit economics, and customer usage.

MODEL ECONOMICS CALCULATOR

What could your model economics look like?

Build an initial commercial scenario. Final results require workload benchmarking.

ILLUSTRATIVE MONTHLY GROSS MARGIN
70.1%
MONTHLY TOKENS 4.88B
EST. REVENUE $3,510
INFRASTRUCTURE COST $1,053
REVENUE / GPU-HOUR $0.61