
AWS Unsloth deployment: how the 80% LLM cost cut lands
On July 12, 2026, AI Herald reported that AWS and Unsloth published four deployment patterns for quantized large language models across EC2, SageMaker, EKS, and ECS, cutting memory by 75% and inference costs by up to 80% (AI Herald). As of August 30, 2026, teams are still asking a simple question: which pattern should they […]







