Tag: LLM optimization
When to Compress vs When to Switch Models in Large Language Model Systems
Learn when to compress a large language model versus switching to a smaller one. Discover practical trade-offs in cost, accuracy, and hardware that shape real-world AI deployments.
- Mar 2, 2026
- Collin Pace
- 9
- Permalink
How to Reduce Memory Footprint for Hosting Multiple Large Language Models
Learn how to reduce memory footprint when hosting multiple large language models using quantization, model parallelism, and hybrid techniques. Cut costs by 65% and run 3-5 models on a single GPU.
- Nov 29, 2025
- Collin Pace
- 7
- Permalink