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.

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

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

Contiguous AI Factories

Built for centralized, hyperscale AI performance

Distributed AI Factories

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

AI Factories Pro

Optimized inference at token scale

Enterprise AI Factories

Turnkey private AI factories secured

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.

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

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

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

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

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.
Private AI – The New Core of GCC Transformation

Private AI – The New Core of GCC Transformation

Industry verticals spanning financial services to healthcare – are racing to “operationalize AI” and shift their captive GCCs into innovation centers, aiming to achieve automation & efficiency, accelerated research & innovation, and better decision-making.…

Why are Enterprises Re-Architecting Infrastructure for AI Workloads?

Why are Enterprises Re-Architecting Infrastructure for AI Workloads?

AI is evolving from experimentation to a core driver of enterprise competitiveness. AMD’s Modern Infrastructure for the AI Era captures the scale of this shift, revealing that 85% of CIOs adopted GPU-accelerated infrastructure in…

Top 5 Trends Redefining Cooling For High-Performance Data Centers In 2026

Top 5 Trends Redefining Cooling For High-Performance Data Centers In 2026

As we move into 2026, I’ve found myself spending more time in conversations about data center cooling. When cooling becomes part of broader operational and growth discussions, it’s a signal that something fundamental has…