Enterprise Solutions for AmpereOne<sup>®</sup> Family
Discovering New Levels of Core Dense Systems for AI Compute
<div><br></div><div>Sustainable AI Compute from the Edge to the Cloud</div>
Applications
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Cloud
Cloud native operations prefer high core count CPUs because they are utilized in an environment where many requests are needed to be handled concurrently, and they use multi-tenancy architecture with multiple instances for users. It becomes even more important when VM is utilized, making traditional multi-threading technology less critical than having more physical cores. With the lower Watt/core, AmpereOne Family processors make it possible to achieve up to 3 times the physical core count in a single rack under the same power limitations.
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AI Inference
AI Inference has started to take place in every aspect of our lives, from heavy computing data centers to the daily use of smartphones. While inference can be run on traditional servers with GPUs installed, the hardware requirements are much lower than those for AI training. For traditional AI models and SLMs <15B parameters, AI optimized CPUs excel. The AmpereOne® M processors, which feature high memory bandwidth and support memory capacities of up to 1.5 TB, allow systems to easily perform AI inference in a GPU-less environment, leading to a significant reduction in costs.
Together We Are Smarter
Resources
