Laptop Overheating and Slow Performance During Data Science Workloads

Hi - depending on the DS/AI workloads attaching to GPU can run the compute heavy. If compute is running hot for GenAI workloads, and you don’t have access to distributed compute, consider micro-batching, quantizing data with Hugging Face Transformers and bits & bytes, coding async jobs with dedicated workers, or using Hugging Face Accelerate “device_map="auto" to shard model layers between GPU and CPU to help balance VRAM requirements of the workload b/c the tool decides where to place each layer based on available memory.

Thank you for the suggestions. I wanted to add that I’m also noticing similar performance-related issues while using lightweight web applications on the same laptop.

For example, browser-based puzzle sites like  Spelling Bee (new site) sometimes freeze, lag, or fail to load interactive elements properly when the system is under heavy load. In some cases, the gameplay area becomes unresponsive or stays blank, especially when other processes are running in the background.

This makes me think the issue could be related to system performance, thermal throttling, or resource usage rather than just the specific applications themselves. When the CPU temperature rises during data-heavy tasks, it seems to affect even simple browser activities.

Has anyone found a way to stabilize performance or reduce overheating so that both heavy workloads and lighter web apps can run smoothly without freezing or lag?