AI Factory

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.

AI Infrastructure

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

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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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

1

Healthcare & Drug Discovery

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

2

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.

3

Automotive & Robotics

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

4

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.

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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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.