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UPC AI Factory Optimized For
The Best Token Economics

A production-grade AI infrastructure model that combines GPU-optimized compute, intelligent orchestration, and full-stack automation.
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Precision Monitoring for LLM Performance & Cost

LLM Performance
  • Usage Trends
  • Response Time Monitoring
  • Token Consumption Analytics
  • Cost Tracking & Optimization
  • Application-Level Cost Breakdown
  • Workload Distribution

Benefits

Production-Ready AI Inference at Scale

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Accelerated AI Deployment

Rapidly transition from development to production with scalable and deployment-ready AI infrastructure environments

Optimized Cost Efficiency

Reduce overall AI infrastructure costs through intelligent resource utilization and optimized token and inference economics

Multi-GPU Support

Supports flexible GPU configurations including L40s, B200s, and B300s for scalable high-performance AI workloads

Flexible Operations Model

Choose self-managed or fully managed operations with complete control, visibility, and enterprise-grade support services

Choose The AI Infrastructure that creates impact

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Contiguous AI Factories

Built for centralized, hyperscale AI performance

  • Massive AI campuses (75MW+) optimized for large-scale model training
  • High-density, liquid-cooled infrastructure for maximum compute efficiency
  • Centralized architecture enabling peak performance and throughput

Distributed AI Factories

Engineered for low-latency, sovereign, edge-driven AI

  • Metro-scale deployments (5–75MW) for regional scalability
  • Low-latency, data-sovereign infrastructure for compliance and real-time processing
  • Edge proximity enabling faster inference and distributed AI workloads

AI Factories Pro

Optimized inference at token scale
  • Flexible consumption with Capex & Opex option
  • Token optimised performance with GPU flexibility and dynamic scaling for peak workloads
  • Complete stack of GPU clusters + VMs flexibility + high performance with SAN with built in Intelligence and UPC Cyber Resilience

Enterprise AI Factories

Turnkey private AI factories secured
  • End-to-end ownership from design deploy scale and private cloud or on-prem datacenter
  • Integration and security with ransomware protection for AI assets including multi-region backup and DR
  • Workload specific configs with NVIDIA/AMD GPU scaling and agentic orchestration for complex pipelines

Key Features

Designed as a
pre-curated, production-ready model to accelerate deployment

A fully integrated, scalable architecture designed to support high-performance AI workloads with efficiency and control.
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Flexible Consumption

Supports CapEx and OpEx models aligned with enterprise financial strategies

Pre-Engineered Design

Curated architecture enables faster deployment of production-ready AI environments

Rapid Deployment

Accelerates time-to-production with standardized yet customizable AI infrastructure frameworks

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Integrated Stack

Combines infrastructure, platform, observability, automation, and orchestration layers seamlessly

Built-In Observability

Enables real-time monitoring, insights, and performance tracking across AI operations

Automation-Driven

Reduces manual intervention through intelligent workflows and agentic orchestration capabilities

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High Throughput

Maximizes compute efficiency for large-scale training and real-time inference workloads

Cost Optimization

Minimizes token and inference costs through intelligent workload and resource tuning

Low Latency

Ensures faster response times with optimized networking and GPU utilization strategies

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Workload Alignment

Infrastructure customized specifically to meet unique AI and ML requirements

Production-Ready Inference

Enables scalable, high-performance inference environments for enterprise AI applications

Elastic Scalability

Dynamically scales resources based on workload demand and performance requirements

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Advanced GPU Support

Compatible with L40s, B200s, B300s across NVIDIA and AMD ecosystems

Complete Ecosystem

Includes compute, storage, backup, and disaster recovery for reliability

Flexible Deployment

Deploy in private cloud or data center environments with full control

Benefits

Production-Ready AI Inference at Scale

Accelerated AI Deployment

Rapidly transition from development to production with scalable and deployment-ready AI infrastructure environments

Optimized Cost Efficiency

Reduce overall AI infrastructure costs through intelligent resource utilization and optimized token and inference economics

Scalable Performance

Seamlessly scale compute, storage, and GPU resources to meet evolving AI workload demands

Flexible Operations Model

Choose self-managed or fully managed operations with complete control, visibility, and enterprise-grade support services

Blogs

Explore Solutions That Propel Businesses Forward

Stay ahead with the latest trends and expert advice in cloud computing.
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