// AI news · 2026-11-12 · AWS Machine Learning Blog
AWS re:Invent 2026 AI/ML Track Guide
AWS re:Invent 2026 features over 140 AI/ML sessions covering chips, models, agents, and sustainability.
Published 2026-11-12 05:05 (Beijing time)Source AWS Machine Learning BlogAuto-summarised, fact-checked against source
01Summary
Attendees can choose from breakout talks, chalk talks, builder sessions, workshops, and code talks, with some content available on-demand. Sessions span the full AI stack, including AWS Trainium, NVIDIA GPUs, data integration via AWS Context, and agent development tools like Amazon Bedrock AgentCore and ready-to-use solutions such as Kiro and AWS Quick.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Over 140 AI/ML sessions cover chips, models, agents, and sustainability at re:Invent 2026.
- Session types include breakouts, chalk talks, builder sessions, workshops, and code talks with some available on-demand.
- The full AI stack is represented from infrastructure to agent solutions including Trainium, AWS Context, and Bedrock.
- Ready-to-use agents like Kiro and AWS Quick offer immediate deployment options.
03Source
The attendee’s guide to the AWS re:Invent 2026 AI/ML track
AWS Machine Learning Blog · published 2026-11-12 05:05 Beijing time
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