Wondering if you can run AI LLMs without a GPU? Our own Ross Hamilton ran an LLM using an OnLogic K430 system and found that a general-purpose CPU can handle AI tasks, thanks to advancements in AI frameworks and model optimization techniques. Here's what you need to know: 👉 AI Hardware Accelerators: Can significantly boost performance and efficiency, especially for complex AI tasks. 👉 Workload Dependencies: Consider your application's workload to determine the optimal hardware configuration. 👉 Model Complexity: The complexity of the LLM model will impact the required hardware resources. Ready to dive deeper? Read Ross' article, which take an in-depth look at his process and findings, here: https://hubs.ly/Q030n41Y0 #OnLogic #RuggedComputing #IndustrialAutomation #DigitalTransformation #Industry40
