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Key Considerations in AI and HPC Infrastructure: Scalability

May 4, 2022

Key Considerations in AI and HPC Infrastructure: Scalability

Keep the following considerations in mind to ensure successful, scalable AI and HP infrastructure implementations.

Design flexibility

Whether you’re building a small, proof-of-concept project or aiming for something bigger from the start, you want to protect your investment and be sure that the system will adapt and grow as your project grows. Design flexibility is key here, with the ability to add nodes or racks to the hardware as needed.


If you use a customized configuration, your initial investment goes further – you don’t need to spend extra money on overhead built into similar, more well-known, all-in-one systems that may not be as easy to expand upon incrementally. Intelligent Scalability

It’s important to scale intelligently. It does you no good to have a ton of computing boxes with no ability to feed them the data required for training the model. This approach allows you to pay for what you need and not set yourself up for a very expensive solution that gets bottlenecked on either the compute, storage, or networking. This requires intelligent scalability.

Future Growth

These are some of the reasons why the flexible Silicon Mechanics Atlas AI Cluster configuration is designed to support future growth of your HPC and AI infrastructure. With each storage node and compute node that you add, the performance of the cluster scales linearly, and can be added seamlessly down the road. As your problem set grows, or if compute and storage requirements change, update, or evolve, the system is designed to scale together seamlessly.

To learn more, read this white paper about the Silicon Mechanics Atlas AI Cluster and learn how clusters can be designed for scale.

About Silicon Mechanics

Silicon Mechanics, Inc. is one of the world’s largest private providers of high-performance computing (HPC), artificial intelligence (AI), and enterprise storage solutions. Since 2001, Silicon Mechanics’ clients have relied on its custom-tailored open-source systems and professional services expertise to overcome the world’s most complex computing challenges. With thousands of clients across the aerospace and defense, education/research, financial services, government, life sciences/healthcare, and oil and gas sectors, Silicon Mechanics solutions always come with “Expert Included” SM.

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Our engineers are not only experts in traditional HPC and AI technologies, we also routinely build complex rack-scale solutions with today's newest innovations so that we can design and build the best solution for your unique needs.

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