# AI Factory

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Accelerated by NVIDIA: Enterprise AI at Scale
Transform AI Data Centers into Intelligent AI Factories

NVIDIA accelerated computing platforms unify GPUs, CPUs, networking, and enterprise software into a powerful foundation for AI innovation. With NVIDIA AI Enterprise and NVIDIA Mission Control with Run:ai orchestration, organizations gain the agility, resiliency, and efficiency required to scale AI into production—performing exponentially more work in less time with lower energy consumption. AI Factory is a purpose-built computing platform designed to transform raw data into intelligence — measured by token throughput — powering decisions, automation, and enterprise AI solutions. Built on NVIDIA accelerated computing platforms and orchestrated by Mission Control with Run:ai, AI Factories simplify hardware, networking, and enterprise-grade software into a scalable, resilient, and energy-efficient foundation for AI.

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in-depth Overview
The Value of NVIDIA AI Enterprise

#### Enterprise-Ready AI Stack

Secure, optimized, and fully supported frameworks, SDKs, and pretrained models tuned for NVIDIA accelerated computing.

#### Consistent Across Environments

Hybrid and multi-cloud deployments simplified with a uniform runtime.

#### Predictable ROI

Reduce integration overhead, minimize operational risk, and deliver measurable outcomes.

#### Accelerated Time-to-Token

Streamlined pipelines shorten the journey from proof-of-concept to production

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AI Factories
Redefining Data Centers and Enabling the Next Era of AI

MBUZZ, in partnership with NVIDIA, is redefining data centers into AI factories — purpose-built to power the reasoning era, delivering the scale and intelligence every enterprise will soon depend on.

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Know How
Benefits of an AI Factory

### Instant Agilit

Rapid scaling and workload flexibility for mission-critical AI.

### Hyperscale-Grade Efficiency

24/7 intelligent operations that automate tasks and fill skill gaps.

### Gold-Standard Resiliency

Proactive monitoring and 10× faster recovery for AI workloads.

### Accelerated AI Experimentation

Increased throughput and GPU utilization empower developers to innovate faster.

Real-World Impact

## Industry Use Cases for AI Factories

The versatility of AI factories means they can be leveraged across nearly any industry for AI-driven innovation and efficiency. Some standout examples are added below

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### Healthcare & Drug Discovery

Fast-track drug development and deliver personalized medicine through generative AI models analyzing massive biological datasets.

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### Cross-Industry Innovation

From financial services to energy and retail, AI Factories convert raw data into revenue by enabling faster and more reliable AI pipelines.

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### Automotive & Robotics

Enable autonomous vehicles and robotics with real-time training and continuous learning for safety, reliability, and automated manufacturing.

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### Telecommunications

Optimize network performance and customer experience — as demonstrated by Telenor’s AI Factory driving sustainable AI adoption and workforce upskilling.

## What are the benefits of Mission Control + Run:ai with NVIDIA?

It provides seamless workload orchestration with fractional GPU allocation, energy-optimized operations, autonomous job recovery, customizable dashboards with health checks, and deep data center integration for improved cooling and power management.

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Deployment
Where to Deploy AI Factories

AI factories provide flexible deployment options, allowing organizations to leverage AI where it delivers the greatest impact.

#### On-Premises

Full control over data and performance, ideal for high-security and high-performance environments.

#### Cloud

Scalable and flexible infrastructure with access to AI capabilities from anywhere in the world.

#### Hybrid

Combines on-prem control with cloud scalability for optimized cost, performance, and compliance.

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Know More
Frequently Asked Questions

Learn more about AI factories, deployment models, and NVIDIA technologies.

NVIDIA offers a fully integrated, optimized platform to build AI factories that power the next wave of AI innovation.

It’s a full-stack, validated design that helps enterprises build and deploy their own on-prem AI factories with confidence.

They provide the compute power needed to train complex AI models efficiently.

These high-speed interconnects enable fast communication between multiple GPUs, essential for large-scale AI workloads.

NVIDIA Quantum InfiniBand and Spectrum-X™ Ethernet deliver robust, efficient networking for seamless data transfer and communication.

It features NVIDIA TensorRT for high-performance inference, NVIDIA Dynamo for workflow optimization, NVIDIA NIM microservices for easy deployment, and a data flywheel for continuous learning.

NVIDIA Omniverse™ provides a digital twin platform to design, test, and optimize next-gen AI data centers before physical deployment.