Organization
Amazon (AWS)
Amazon (AWS) is a cloud provider and AI model developer headquartered in Seattle, Washington1. This catalog lists 1 open model release and 1 software project from Amazon (AWS), under licenses including the Apache License 2.0.
Documented roles: Cloud provider · Model developer · Developer platform · Consumer products
Amazon runs retail, advertising, and cloud businesses and reports three segments: North America, International, and Amazon Web Services (AWS). Through AWS it offers AI services, including Amazon Bedrock for building generative AI applications and its own Amazon Nova models.123
Using this organization’s offerings
Intended users
AWS presents Amazon Bedrock for teams, from startups to large enterprises, building generative AI applications and agents, and Amazon Nova models for organizations of all sizes.69
Hosted and self-hosted access
Bedrock is a fully managed AWS service that offers foundation models from Amazon and other providers, including Anthropic, DeepSeek, OpenAI, and xAI, through AWS APIs. Amazon's Nova 2 models are accessed through Bedrock and can be customized through fine-tuning.710
Restrictions and review limits
Bedrock prices depend on modality, provider, and model and vary by AWS Region. AWS documents Nova access through Bedrock, and Amazon's Hugging Face organization lists other models, such as Chronos, but no Nova weights. This profile is not a complete product or rights audit.81011
Key facts
What is and isn’t public
Products
Hosted model products
Labeled Hosted product/API — this describes how a documented product is delivered (hosted access). It does not determine whether underlying weights or code are open; assess the specific release and its licenses.
| Product | Kind | Documented delivery and access | Reviewed |
|---|---|---|---|
| Amazon Nova (external site: aws.amazon.com) | Hosted model API | Amazon's own foundation models (for example Nova 2 Lite and Nova 2 Sonic), which AWS documents as accessed through Amazon Bedrock, and related services such as Nova Act.35 | Sep 29, 2026 |
Other products
| Product | Kind | Documented delivery and access | Reviewed |
|---|---|---|---|
| Amazon Bedrock (external site: aws.amazon.com) | Cloud platform | AWS service for building generative AI applications and agents with foundation models from Amazon and other providers, used through an AWS account; pricing depends on the model, provider, and modality.24 | Sep 29, 2026 |
Cataloged artifacts
Model families
- Chronos (time series models)Model family
Model releases
- Chronos-2Model releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
Frameworks
- Strands AgentsSoftwareAvailability: Public
Notable documented facts
In the news
Amazon announces an Apache 2.0 release of TorchNeuron, a native PyTorch backend for AWS Trainium
Amazon said TorchNeuron, which it describes as running existing PyTorch code on its Trainium chips without a rewrite by plugging into PyTorch's standard mechanism for registering new hardware, would be released under the Apache 2.0 license at PyTorch Conference North America on October 20, 2026. Amazon says TorchNeuron supports Trainium2 and Trainium3 and that it is contributing changes upstream to PyTorch. The aws-neuron/torch-neuronx repository on GitHub is public, lists the Apache License 2.0, and describes itself as a native PyTorch backend for AWS Trainium. A Hugging Face blog post dated October 19 describes running Hugging Face models with it. USASI has not tested TorchNeuron.
Structured outputs for Anthropic Claude models become generally available on Amazon Bedrock
In an October 19, 2026 post on the AWS Machine Learning Blog, AWS said structured outputs for Claude on Amazon Bedrock is now generally available for all Anthropic Claude models, on both the bedrock-runtime and bedrock-mantle endpoints. AWS says the feature uses constrained decoding to enforce a developer's JSON schema during token generation, and that setting
strict: trueon a tool constrains the model's tool input to match its schema. The post also says some JSON Schema keywords, including numeric and string length constraints, are accepted but not enforced, so applications should validate those values themselves.White House science summit lists industry partners in the Genesis Mission Consortium
On October 8, 2026 the White House published a fact sheet on science initiatives announced at its "Science: A New Golden Age" summit. It says eleven industry partners committed SI-for-science tools and compute credits to the Genesis Mission Consortium, and names NVIDIA, AMD, OpenAI, Anthropic, Google, AMP, Emerald AI, AWS, Armada, Crusoe, and Micron. The same fact sheet says NIH, DOE, and Biohub launched a virtual biology initiative to build data and models for virtual cells. The fact sheet describes announcements and commitments rather than an executive order.
AWS releases Strands Decider 2B, an open-source decision model, under Apache 2.0
On October 1, 2026 the Strands team at AWS announced Strands Decider 2B, a 2-billion-parameter "decision model" that picks between supplied options or assigns a score with a confidence value instead of generating text. The announcement says the model starts from the Qwen3.5-2B model with its language-model head replaced by a small pointer head and the base fine-tuned with a LoRA adapter, and that it is meant for agent workflows such as those built with the Strands Harness SDK. The code, training data, and scripts are published on GitHub and the weights on Hugging Face; the repository and model card both list the Apache 2.0 license. AWS describes it as a Strands Labs project and says it is unsuited to text-generation tasks such as coding, chat, or summarization.
Amazon releases ALoDLM-1.7B and ALoDLM-8B diffusion language models for non-commercial research
Amazon has published ALoDLM-1.7B and ALoDLM-8B on Hugging Face, diffusion language models initialized from the corresponding Qwen3 backbones that generate text and code by repeatedly applying shared transformer layers and adaptively allocating computation across token positions. The model card says the weights are released under the Creative Commons Attribution-NonCommercial 4.0 license for non-commercial research, with code in the amazon-science/ALoDLM repository. The accompanying paper, "ALoDLM: Adaptively Looped Diffusion Language Models," was submitted to arXiv on October 3, 2026. USASI has not tested either model.
What this catalog does not know
- Official careers page: not verified by this catalog.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: U.S. headquarters
Amazon.com, Inc. is a Delaware corporation whose principal executive offices are at 410 Terry Avenue North, Seattle, Washington, per its Form 10-K for fiscal year 2025. AWS is a segment of Amazon.com, Inc. and is covered by this record.1
Sources
This listing is not an endorsement or a federal approval.
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APA style
USASI. (2026, October 1). Amazon (AWS). United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/companies/amazon/
BibTeX
@misc{usasi_amazon,
author = {{USASI}},
title = {Amazon (AWS)},
year = {2026},
month = oct,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/companies/amazon/}},
note = {United States of America Superintelligence. Last updated 2026-10-01}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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