Co-designed by SourceCode and Powered by Dell and VDURA, Atlas AI Ignite Delivers an Integrated, Best-in-Class Solution for Rapid AI Development

Atlas AI Ignite is SourceCode’s co-designed solution for organizations looking to start AI infrastructure deployments without the cost and complexity of a large-scale build-out. Built in collaboration with Dell and VDURA, this integrated solution provides a practical starting point for AI development, testing, and proof-of-concept workloads, with a clear path to scale as requirements grow.

Start Small, Scale with Confidence

Atlas AI Ignite provides an integrated entry point for organizations that want to validate AI workloads before committing to larger-scale infrastructure. Start with the compute, storage, networking, and software required today, then expand as workloads, data, and performance requirements grow.

Atlas AI Ignite: Scale-as-you-Go AI Factory

Atlas AI Ignite Highlights

  • Accelerate AI Proofs-of-Concept: Atlas AI Ignite is the fast and affordable way to start exploring AI factory capabilities, enabling you to quickly demonstrate value and refine your strategy.
  • Optimized for Efficiency: Combines a compact configuration with NVIDIA GPUs, Dell servers, and VDURA storage to deliver impressive performance in an easy-to-adopt package.
  • Essential Software Suite: Includes key AI and management software, giving you the tools to develop and test AI workloads with ease.
  • Simplified Setup and Support: Backed by SourceCode’s expert team, you’ll benefit from tailored guidance, quick deployment, and support throughout your proof-of-concept journey.

Relevant Industries

Atlas AI Ignite provides a flexible platform for AI development, testing, proof of concept, and early production workloads across industries including:

Healthcare & life sciences
Government
Fintech
Automotive & transportation

Common Questions About Scaling AI Infrastructure

How can organizations start an AI infrastructure deployment without building a full-scale environment?
Organizations can begin with an integrated environment sized for AI development, testing, and proof-of-concept workloads, then expand as requirements grow. Atlas AI Ignite is designed for this scale-as-you-go approach.

Yes. A scalable architecture allows organizations to expand compute, storage, and other infrastructure resources as workloads, data volumes, and performance requirements increase.

Key considerations include workload type, model size, compute and GPU requirements, storage capacity and performance, networking, software, expected data growth, and plans for future expansion.

SourceCode co-designs the infrastructure around workload and business requirements, bringing together compute, storage, networking, software, integration, and deployment expertise.

Get Started with Atlas AI Ignite

Atlas AI Ignite combines Dell PowerEdge GPU servers, NVIDIA accelerated computing, VDURA high-performance storage, and SourceCode engineering expertise in an integrated solution designed for rapid deployment and future expansion. Start with the infrastructure your workloads require today and scale toward a larger AI factory as your requirements grow.