# Amazon — Pathway’s brain-inspired architecture development on Amazon SageMaker HyperPod

- Company: Amazon (amazon.com)
- Announced: 2026-09-08T19:12:51+00:00
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://aws.amazon.com/blogs/machine-learning/pathway-s-brain-inspired-architecture-development-on-amazon-sagemaker-hyperpod/
- Record: https://forck.live/items/9300-pathway-s-brain-inspired-architecture-development-on-amazon-sagemaker-hyperpod
- Subject: Bedrock / Nova
- Models affected: BDH, BDH-CQ

Pathway announced its brain-inspired BDH (Dragon Hatchling) architecture, a post-transformer model that performs reasoning in latent space using sparse, local neuron interactions and Hebbian learning. The BDH-CQ variant updates internal memory during inference without fine-tuning or retraining. The model integrates with PyTorch and uses Amazon SageMaker HyperPod for scalable training.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/pathway-s-brain-inspired-architecture-development-on-amazon-sagemaker-hyperpod/:

> Pathway’s brain-inspired BDH (Dragon Hatchling) performs reasoning in latent space.

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