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SourceCode Expands AI Factory Offerings with Atlas AI Ignite at GTC 2025
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SourceCode
Accelerates Application-Defined AI Infrastructure from POC to Production

NORWOOD, Mass. - Nyenta -- In anticipation of NVIDIA GTC 2025 next week where the industry will explore 'What's Next in AI,' SourceCode, a leader in hardware co-design from device to datacenter, today announced Atlas AI Ignite, a scalable, entry-level solution that enables organizations to rapidly deploy and scale AI factories optimized for their applications. This new offering is an expansion of the previously announced Atlas AI Cluster, creating a full spectrum of AI solutions from entry-level single-rack deployments to exascale-class computing.

Atlas AI Ignite is a turnkey solution with architectural flexibility to optimize-as-you-scale. It integrates the new AI-optimized VDURA Data Platform with powerful GPU servers, fast interconnects, and a full menu of AI software to deliver best-in-class performance in a compact, cost-effective configuration.

Customers can choose Atlas AI Ignite for quick time-to-value as they enter into AI or select the full-scale Atlas AI Cluster for maximum performance. For more complex edge-to-cloud needs, SourceCode and its coalition of technology partners work directly with customers to co-design a solution that meets exact technical and business requirements. This engineering-led approach ensures every AI factory is optimized for efficiency, scalability, and long-term success.

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"AI is a business imperative while also rapidly evolving. That means customers need a solution that simplifies, accelerates, and maximizes flexibility. That's the market gap the SourceCode Atlas AI family fills," said Arthur Ataie, CEO of SourceCode. "Atlas AI Ignite is the easy path to useful AI, so businesses can start strong and scale seamlessly as their needs expand."

"It's no surprise that new AI models and applications have new data requirements. That's where VDURA's AI-optimized data platform comes in," said Ken Claffey, CEO of VDURA. "Atlas AI Ignite is a seamless integration of all the pieces, giving organizations a clear and cost-effective path to building their AI infrastructure."

A Scalable Approach to AI Factories

Atlas AI Ignite is purpose-built to simplify AI adoption with:
  • Proof-of-Concept Made Easy – A fast and affordable way to explore AI factory capabilities, validate concepts, and accelerate AI deployment.
  • Optimized Performance – Integrated NVIDIA GPUs, servers, and VDURA storage deliver exceptional efficiency and scalability.
  • Essential AI Software Suite – Includes NVIDIA AI Enterprise software and management tools for streamlined AI development.
  • Simplified Deployment and Support – Backed by SourceCode's expert engineering team for tailored guidance and ongoing support.

Partnering with Industry Leaders

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As a long-standing innovator in AI and high-performance computing, SourceCode's expanded portfolio can serve customers at every stage of AI implementation. By collaborating with industry leaders like Eviden and VDURA, SourceCode ensures that businesses benefit from cutting-edge technology designed for both rapid AI development and long-term success.

Atlas AI Ignite is available exclusively through SourceCode in North America and is designed to support a wide range of industries, including financial services, telecommunications, healthcare and life sciences, and government.

For more information about Atlas AI Ignite, visit SourceCode's website or stop by SourceCode booth #1605 at GTC 2025.

About SourceCode

Founded in 1992, SourceCode is a global provider of co-designed, custom, certified IT systems for next-generation intelligent infrastructure. The company's edge devices, desktop computers, servers, storage, clusters, and reference architectures are available via its industry-leading e-commerce platform as well as its customer-centered engineering-led engagement model. Learn more at SourceCode.com or follow us on LinkedIn.

Contact
Cindee Mock
***@sourcecode.com


Source: SourceCode
Filed Under: Technology, Information Technology

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