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

DevFeed: [Pathway's brain-inspired architecture development on Amazon SageMaker HyperPod](<https://devfeed.tech/articles/pathway-s-brain-inspired-architecture-development-on-amazon-sagemaker-hyperpod-4738.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/pathway-s-brain-inspired-architecture-development-on-amazon-sagemaker-hyperpod/>)

Author: Paulo Aragão

Published: 2026-09-08T19:12:51Z

Content type: article

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>), [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>), [compression and generalization](<https://devfeed.tech/topics/compression-and-generalization.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>)

Tags: [amazon](<https://devfeed.tech/tags/amazon.md>), [amazon-sagemaker](<https://devfeed.tech/tags/amazon-sagemaker.md>), [amazon-sagemaker-hyperpod](<https://devfeed.tech/tags/amazon-sagemaker-hyperpod.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [chain-of-thought](<https://devfeed.tech/tags/chain-of-thought.md>), [distributed-training](<https://devfeed.tech/tags/distributed-training.md>), [intermediate-200](<https://devfeed.tech/tags/intermediate-200.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [transformer-architecture](<https://devfeed.tech/tags/transformer-architecture.md>)

## AI overview

Pathway describes BDH, a brain-inspired architecture that performs reasoning in latent space rather than producing chain-of-thought token traces. The article covers its recurrent internal memory, its contrast with transformer limitations, and scaling training with Amazon SageMaker HyperPod.

## Source excerpt

Pathway's Baby Dragon Hatchling (BDH) is a brain-inspired, post-transformer architecture that reasons in latent space instead of emitting chain-of-thought tokens. See how Pathway develops and scales BDH on Amazon SageMaker HyperPod, and how BDH-CQ set a new cost-efficiency mark on the ARC-AGI-1 benchmark.