Exponential growth across 2 dimensions, users and tokens per user, makes this AI era different from earlier buildouts, and allows AI labs' compute math to work

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Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens.

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The hidden tax of making employees search, switch, and repeat — Employees lose more time to digital friction than organizations often realize. Searching for information, switching between tools …

Protecting your Cloud Applications Data — Backing up Office 365, Google Workspace, Dropbox & Salesforce data is critical to preventing data loss or corruption, complying with laws and avoiding critical downtime in case of a disaster.

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Migrating multi-model AI agents to Amazon Bedrock AgentCore runtime | Amazon Web Services

Organizations building multi-model agentic AI applications face growing infrastructure complexity. Managing container orchestration, scaling policies, identity, and observability for multiple model types adds operational overhead. Teams often spend more time on infrastructure than on agent logic development. Developers running agentic frameworks on self-managed infrastructure such as Amazon Elastic Container Service