Deployment & Scaling

24 summarised stories about Deployment & Scaling, each linking back to the original source. Browse all topics →

Thursday, 16 July 2026

Four MTIA Chips in Two Years: Scaling AI Experiences for Billions

Meta AI Blog

Meta is developing four successive generations of its custom MTIA AI chips scheduled for deployment between 2026 and 2027, expanding capabilities from ranking and recommendation tasks to generative AI workloads. From MTIA 300 to MTIA 500, high-bandwidth memory increases 4.5x and compute performance increases 25x within two years. The modular chiplet design allows Meta to ship new generations every six months while using the same physical infrastructure, reducing deployment friction compared to traditional chip development cycles.

AI Infrastructure Custom Chips Deployment & Scaling Meta

Introducing Muse Spark: Scaling Towards Personal Superintelligence

Meta AI Blog

Meta released Muse Spark, a multimodal reasoning model that supports tool-use, visual reasoning, and multi-agent coordination as the first product from its restructured AI efforts. The model requires over an order of magnitude less compute than Meta's previous Llama 4 Maverick model to reach equivalent performance levels. The release includes a private API preview and marks the beginning of Meta's stated scaling roadmap toward what it calls personal superintelligence.

AI Agents Deployment & Scaling Meta Multimodal Models