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AgentCore Automates Cloud Migration

AgentCore Automates Cloud Migration

AWS Professional Services uses a multi-agent framework on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Specialized agents cover discovery, infrastructure-as-code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.

AWS Machine Learning BlogOfficial11h ago#cloud-migration#multi-agent#automation
Kling AI Raises $3 Billion as Kuaishou Splits Strategy

Kling AI Raises $3 Billion as Kuaishou Splits Strategy

Kuaishou’s Kling AI raised nearly $3 billion at a post-money valuation of $18 billion, with Kuaishou’s stake falling to 68.33% and a potential Hong Kong IPO targeted by 2031. Despite strong revenue growth, Kling faces slowing momentum, talent departures, and intense competition from ByteDance’s Seedance and open-source video models.

Moore Threads’ Growth Comes with Big Questions

Moore Threads’ Growth Comes with Big Questions

Moore Threads’ first post-IPO half-year report shows revenue rising 147% to RMB 1.736 billion, while attributable losses narrowed sharply. However, the improvement relies heavily on concentrated cloud-computing sales, government subsidies, investment gains, and IPO-funded cash reserves rather than a clear recovery in core operations.

虎嗅Media10h ago#gpu#domestic-chips#cash-flow
Build Agents Where Data Lives

Build Agents Where Data Lives

AWS presents its portfolio of vector search capabilities embedded in existing databases and storage services, eliminating the need for a standalone vector database or data migration. The post compares six purpose-built services and provides a framework for selecting the right vector engine.

AWS Machine Learning BlogOfficial11h ago#vector-search#rag#databases
ByteDance Restructures Seed AI Team

ByteDance Restructures Seed AI Team

ByteDance’s Seed foundation-model division has reportedly completed another internal restructuring. Its foundation-model organization now includes four first-level departments focused on pretraining data, reinforcement learning, product post-training for work, and product post-training for chat.

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