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.
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 Agility
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.
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.
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
Healthcare & Drug Discovery
Fast-track drug development and deliver personalized medicine through generative AI models analyzing massive biological datasets.
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.
Automotive & Robotics
Enable autonomous vehicles and robotics with real-time training and continuous learning for safety, reliability, and automated manufacturing.
Telecommunications
Optimize network performance and customer experience — as demonstrated by Telenor’s AI Factory driving sustainable AI adoption and workforce upskilling.
Deployment
Where to Deploy AI Factories
AI factories provide flexible deployment options, allowing organizations to leverage AI where it delivers the greatest impact. They can be deployed across multiple environments. Let’s explore what these are
On-Premises
Full control over data and performance, ideal for high-security and high-performance needs.
Cloud
Hybrid
Combines on-prem control with cloud scalability for optimized cost, performance, and compliance.
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Frequently Asked Questions
The versatility of AI factories means they can be leveraged across nearly any industry for AI-driven innovation and efficiency. Some standout examples include AI initiatives in the public sector, automotive, healthcare, telecommunications, and financial services industries.
How can I get started with an AI factory?
NVIDIA offers a fully integrated, optimized platform to build AI factories that power the next wave of AI innovation.
What is the NVIDIA Enterprise AI Factory Validated Design?
It’s a full-stack, validated design that helps enterprises build and deploy their own on-prem AI factories with confidence.
Why are high-performance GPUs important?
They provide the compute power needed to train complex AI models efficiently.
What is NVIDIA NVLink™ and NVLink™ Switch used for?
These high-speed interconnects enable fast communication between multiple GPUs, essential for large-scale AI workloads.
How does networking work within an AI factory?
NVIDIA Quantum InfiniBand and Spectrum-X™ Ethernet deliver robust, efficient networking for seamless data transfer and communication.
What does the full-stack AI inference platform include?
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.
How does NVIDIA Omniverse™ help with AI factory design?
NVIDIA Omniverse™ provides a digital twin platform to design, test, and optimize next-gen AI data centers before physical deployment.