Update blog

Author: cmdr2

content/blog/2025-10-27-1761560082.md

@@ -21,7 +21,7 @@ For e.g. reading constantly from the Global Memory is like driving between the f
 Therefore the job of running a computation graph (like ONNX) efficiently on GPU(s) is like planning the logistics of a manufacturing company. You've got raw materials in the main warehouse that you need to transfer between cities, and store/process/transfer artifacts across different factories and machines. You need to make sure that:
 - the production process follows the chart laid out in the computation graph.
 - every machine in each factory is being utilized optimally
-- account for the time it takes to move things between cities/factories/machines.
+- account for the time it takes to move things between cities/factories/machines
 
 And most importantly, you need to focus on your overall goal, i.e. either the time it takes to produce the finished product (i.e. latency) or maximum utilisation of all your machines (i.e. throughput).