Scaling Small Language Models (SLMs) for Edge Devices: A New Frontier in AI

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Via Forbes.com, article by Santhosh Vijayabaskar

Learn about the growing importance of Small Language Models (SLMs) in the field of AI, particularly for edge devices.

SLMs are lightweight neural network models designed to perform specialized natural language processing tasks with fewer computational resources. They typically range from a few million to several billion parameters and are optimized for efficiency, making them ideal for resource-constrained environments.

But what if you could have the best of both worlds? The Nexus with Ampere fly-away kit is an edge device that offers the computing power for inference of SLMs and resource-intensive Large Language Models (LLMs). It features Ampere cloud native processors with up to 128 cores and options for further expansion with NVIDIA L4 GPUs.

Learn more about Nexus with Ampere

Ampere Solutions Optimized for AI Frameworks

Whitepaper: Breakthrough AI Performance with the Nvidia L4 GPU