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GPU vs CPU – Local Image Generation in C# with TransformersSharp
⚠️ This blog post was created with the help of AI tools. Yes, I used a bit of magic from language models to organize my thoughts and automate the boring parts, but the geeky fun and the 🤖 in C# are 100% mine. Hi! Quick 5 min video recap here, so you can avoid the — read more
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CPU vs GPU: Which Wins for Running LLMs Locally?
Introduction Running large language models (LLMs) locally has become increasingly accessible, thanks to advancements in hardware and model optimization. For .NET programmers, understanding the performance differences between CPUs and GPUs is crucial to selecting the best setup for their use case. In this blog post, we’ll explore these differences by benchmarking the Llama 3.2 Vision — read more
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#VS2019 – ML.NET Model Builder GPU vs CPU test: 4 times faster !
Hi ! Yesterday I wrote about the new options that we have to train models in ML.Net Model Builder. The main new is that we have the option to use our GPU to train models. Quick recap, Model Builder supports 3 specific training environments Local (CPU) Local (GPU) Azure Yesterday I tested train a small — read more
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#VS2019 – ML.NET Model Builder GPU Support, awesome !
Hi ! Machine Learning.Net (ML.Net) includes a visual / step-by-step option for Auto ML: Model Builder. Even if ML.Net is based on .Net Core, and we can use it on Windows, Linux or Mac; Model Builder is only available for Visual Studio 2019. And, in the latest preview version, Model Builder supports 3 specific training — read more
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El Bruno 