Posts by Eduardo Alvarez
Analyzing the Impact of Tensor Parallelism Configurations on LLM Inference Performance
- 14 March 2025
As AI models continue to scale in size and complexity, deploying them efficiently requires strategic resource allocation. Tensor parallelism (TP) is a valuable technique for distributing workloads across multiple GPUs, reducing memory constraints, and enabling inference for large-scale models. However, the choice of TP configuration isn’t one-size-fits-all—it directly impacts performance, networking overhead, and cost efficiency.