# Beyond the KV cache: Training and serving i14’s Laplace 3B linear attention model on AWS Trainium2 with native PyTorch

Learn how i14 trained and served Laplace 3B, a linear attention model, on AWS Trainium2 using native PyTorch. Its recurrent state stays fixed at 29.5 MB per sequence regardless of context length, avoiding the growing key-value cache of transformer models and keeping serving memor



## 질문과 답변



## 출처
- AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/beyond-the-kv-cache-training-and-serving-i14s-laplace-3b-linear-attention-model-on-aws-trainium2-with-native-pytorch/ (발표 2026-10-20T21:14:10.000Z)

작성: TUMN 큐레이션 · AI 보조: false
발행: 2026-10-20T21:14:10.000Z
확인: 2026-10-21T01:25:36.883Z
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