AWS re:Invent 2025
Dec 3, 2025 · Las Vegas · 2 keynotes · re:Invent 2023 · re:Invent 2024
The Future of Agentic AI Is HereDec 3, 2025 · 1h 41m · Swami SivasubramanianSwami Sivasubramanian's AI-focused re:Invent 2025 keynote framed agentic AI as the new computing model, launching the Nova 2 model family and expanding Bedrock AgentCore.
Key themes: Agents, Models, Open models
- 1Swami opened by declaring agentic AI as a fundamentally new way of using AI.
- 2Amazon Bedrock AgentCore was built to solve orchestration and reliability challenges for agents.
- 3Amazon SageMaker AI was framed as the answer to the operational overhead of managing agent infrastructure.
- 4Amazon Bedrock now offers Mistral 7B and other open-weight models including Qwen and Kimi.
- 5Amazon Nova Forge, which Garman launched the day before, lets customers build custom frontier models.
- 6Amazon Nova Act reached general availability for building reliable browser automation agents.
- 7Blue Origin's VP of Tech Transformation joined to discuss building agentic systems for space operations.
| Announcement | Status |
|---|---|
| Amazon Nova 2 SonicSpeech-to-speech model for conversational AI | GA |
| Amazon Nova 2 LiteFast, cost-effective reasoning model with extended thinking | GA |
| Amazon Nova 2 OmniMultimodal model for text, image, video and speech | Preview |
| Amazon Nova ForgeProgram to build custom frontier models on Nova | Announced |
| Amazon Nova ActService for building UI workflow automation agents | GA |
| Amazon Bedrock AgentCoreAdded quality evaluations and policy controls for agents | Announced |
| Amazon Bedrock open-weight modelsAdds 18 models including Mistral Large 3 and Ministral 3 | GA |
AWS re:Invent 2025 - Keynote with CEO Matt GarmanDec 2, 2025 · 2h 8m · Matt GarmanMatt Garman's re:Invent 2025 CEO keynote centered on new silicon (Graviton5, Trainium3), AWS Transform, and simplifying serverless with Lambda Durable Functions.
Key themes: AI infrastructure, Agents, Pricing
- 1Garman highlighted how AWS customers like Pfizer chose AWS to transform their business.
- 2AWS Graviton is described as the chip powering the largest share of AWS Cloud compute added.
- 3Trainium3 was announced, designed to make AI training and inference workloads more efficient.
- 4AWS Transform was pitched as AI-powered code and mainframe modernization, cutting execution time up to 80%.
- 5Amazon S3 Vectors reached general availability, scaling to 2 billion vectors per index.
- 6AWS announced Lambda Durable Functions for multi-step workflows lasting seconds to a year.
- 7AWS introduced Database Savings Plans, a new flexible pricing model across AWS databases.
| Announcement | Status |
|---|---|
| AWS Graviton5Fifth-generation Arm chip, best price-performance for broad workloads | GA |
| AWS Trainium3Custom AI chip built for more efficient training and inference | Announced |
| AWS TransformAI-powered code, mainframe and Windows modernization | GA |
| Amazon S3 VectorsVector storage scaling to 2 billion vectors per index | GA |
| Lambda Durable FunctionsMulti-step serverless workflows lasting up to one year | GA |
| Database Savings PlansNew flexible pricing model across AWS database services | Announced |
| EC2 X8aedz instancesMemory-optimized instances with 5 GHz speeds and 3 TiB memory | GA |
Companies on stage
Named or launching: Alibaba, Amazon, AWS, Blue Origin, Google, MiniMax AI, Mistral AI, Moonshot AI, Nvidia, OpenAI, Anthropic, Pfizer, Salesforce, SAP
Sources: official keynote videos, their captions and the hosts' recaps, summarized by AI; watch the source for exact wording. Logos via logo.dev; trademarks belong to their owners.