Turnkey AI Infrastructure Solutions

Choose from two pre-engineered Atlas AI solutions designed for different stages and scales of AI deployment. Atlas AI Ignite provides a practical entry point for AI development, testing, proofs of concept, and early production, while Atlas AI Factory is designed for larger-scale AI training and inference environments. Both simplify deployment by bringing together compute, storage, networking, software, and integration expertise in a coordinated architecture.

Start at the Right Scale

Atlas AI Ignite

Need a practical starting point for AI development without committing to a large-scale infrastructure build-out? Atlas AI Ignite provides an integrated environment for development, testing, proofs of concept, and early production workloads. Built with Dell, NVIDIA, and VDURA technologies, it helps teams validate AI workloads and refine infrastructure requirements before making larger investments.

Build AI Infrastructure at Scale

Atlas AI Factory

For larger-scale AI training and inference, Atlas AI Factory provides a separate, high-performance architecture designed to simplify AI factory deployment. The integrated solution brings together accelerated compute, high-performance storage, high-speed networking, AI software, and Thinkmate expertise to reduce integration complexity and accelerate time to production.




Two AI Infrastructure Solutions. Built for Different Needs.

ATLAS AI IGNITE ATLAS AI FACTORY
Best suited for AI development, testing, proof of concept and early production Large-scale AI training and inference
Deployment approach Integrated, ready-to-deploy starting point Integrated, high-performance AI factory infrastructure
Designed to address Faster experimentation, workload validation and time to results Performance, scalability and complexity at AI factory scale
Infrastructure Dell PowerEdge GPU servers, NVIDIA accelerated computing and VDURA storage Gigabyte systems, NVIDIA accelerated computing, high-speed InfiniBand and VDURA storage
Flexibility Configure around current workload and performance requirements Multiple configurations for large-scale workload, performance and capacity requirements

Designed For

  • AI Proof-of-Concepts
  • Model Training & Tuning
  • Natural Language Processing
  • Computer Vision & Image Analysis
  • Predictive Analytics & Forecasting
  • AI R&D and Prototyping

Relevant Industries

Healthcare and Life Sciences
Financial Services
Retail and eCommerce
Automotive and Transportation
Education and Research
Government and Defense
Energy and Utilities
Manufacturing and Industrial

Atlas AI Ignite Overview

Integrated AI Infrastructure for Development, Testing, Proofs of Concept, and Early Production

Accelerate AI Development and Validation

Atlas AI Ignite helps teams move quickly from exploration to execution with an integrated platform for developing, testing, and validating AI workloads. Start with infrastructure aligned to current requirements and establish a practical foundation for early production workloads.

Optimized for Performance and Efficiency

Combining Dell PowerEdge GPU servers, NVIDIA accelerated computing, and VDURA high-performance storage, Atlas AI Ignite delivers a compact, integrated platform for modern AI development workloads.

Integrated AI and Management Software

A curated software environment supports AI development, workload management, and data handling, reducing the time and effort required to configure a working AI platform.

Simplified Deployment and Support

Thinkmate helps simplify deployment with configuration, integration, and infrastructure expertise, allowing teams to spend more time developing and testing AI workloads.

Inside Atlas AI Ignite

Atlas AI Ignite combines Dell PowerEdge GPU servers, NVIDIA accelerated computing, VDURA high-performance storage, and AI and management software in an integrated solution designed for rapid deployment and future requirements.

Atlas AI Ignite is purpose-built for organizations launching AI development, testing, proof-of-concept, and early production initiatives. For larger-scale AI factory requirements, Atlas AI Factory provides a separate architecture designed for training and inference at scale.



Atlas AI Factory Overview

Integrated AI Factory Infrastructure for Large-Scale Training and Inference

Key Capabilities
  • Deployment Efficiency: A co-designed, integrated architecture brings together compute, storage, networking, and software to reduce integration complexity and accelerate time to production.
  • Optimized Performance: Highly configurable architecture incorporates NVIDIA GB300 Grace Blackwell accelerated computing, NVIDIA Quantum-X800 800Gb/s InfiniBand networking, and up to 13 PB of raw storage in the baseline configuration.
  • Full-Stack Software Integration: Supports a comprehensive AI and management software environment, including NVIDIA NIM microservices, NVIDIA AI Enterprise, NVIDIA Omniverse, and optimized open-source foundation models.
  • Thinkmate Expertise and Support: Thinkmate provides configuration guidance, integration expertise, application assistance, optimization, knowledge transfer, cluster management software, and onsite integration to support deployment.
System Architecture

Atlas AI Factory is designed as an integrated architecture for large-scale AI training and inference, combining high-performance compute, storage, networking, and software. The platform incorporates technologies from Gigabyte, NVIDIA, and VDURA with Thinkmate integration and deployment expertise.

Available in four configurations, Atlas AI Factory incorporates high-bandwidth, low-latency NVIDIA Quantum-X800 800Gb/s InfiniBand networking, NVIDIA GB300 Grace Blackwell accelerated computing, and up to 13 PB of raw storage in the baseline configuration.


Learn More About Atlas AI Factory

Common Questions About AI Infrastructure

Atlas AI Ignite is designed for AI development, testing, proofs of concept, and early production workloads. Atlas AI Factory is a separate system designed for larger-scale AI training and inference environments.

Organizations can begin with an integrated environment sized for development, testing, and proof-of-concept workloads. Atlas AI Ignite provides this practical entry point without requiring a large-scale AI factory deployment.

Key considerations include workload type, model size, GPU and compute requirements, storage capacity and performance, networking, software, expected data growth, and future performance requirements. Thinkmate can help evaluate these requirements and design a balanced infrastructure configuration optimized for your specific AI workloads, performance goals, and plans for growth.

Thinkmate brings together compute, storage, networking, software, configuration, integration, and deployment expertise to help align infrastructure with workload and business requirements.