infrastructure

Meta has unveiled four generations of custom-designed AI chips focused on inference workloads, aiming to reduce inference costs across its platforms serving billions of users. The move represents a significant step toward reducing Meta's dependence on GPU manufacturers like Nvidia and AMD.

Thinking Machines Lab has secured a multi-year compute deal with Nvidia involving at least 1 gigawatt of processing power, according to the company. The agreement also includes a strategic investment from Nvidia, marking a significant infrastructure commitment for the AI research organization.

Meta has acquired Moltbook, a platform built as a Reddit-style community space specifically for AI agents. The acquisition signals Meta's expanding focus on infrastructure for agent-to-agent interaction and collaboration.

Meta has signed a multi-billion dollar deal to rent Google's TPU (Tensor Processing Unit) chips for training its AI models, marking a significant shift away from Nvidia's dominance in AI infrastructure. The arrangement provides Meta with alternative compute capacity while signaling growing competition in the specialized AI chip market.

Nvidia is reportedly planning a $30 billion investment in OpenAI, according to Reuters citing sources familiar with the matter. The deal would represent one of the largest funding commitments in the AI sector to date. Terms and timeline have not been officially confirmed by either company.