Current outcome
Microsoft announced its third-generation Maia 300 AI chip, positioned as the primary inference system for its own products and services with improved cost efficiency and support for reasoning and agentic workloads, reducing its reliance on Nvidia GPUs; production targeted for 2027 and multi-gigawatt internal deployment planned, with model training continuing on Nvidia and AMD.
Progress timeline
2 material updates- #01
Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs
Microsoft announced its third-generation Maia 300 AI chip, positioned as the primary inference system for its own products and services with improved cost efficiency and support for reasoning and agentic workloads, reducing its reliance on Nvidia GPUs.
Source evidence: The Verge AI
- #02
微软将加大自研AI芯片使用，Maia 300预计2027年投产
New details: Maia 300 expected to enter production in 2027; multi-gigawatt deployment on Maia series; each data center rack can hold 96 Maia 300 chips, double the previous Maia 200; up to 7x AI token throughput per rack vs GPU and ~40% more tokens per MW; Evercore ISI estimates Maia chips will account for ~10% of Microsoft AI chip spending by Q1 2027; model training still uses Nvidia and AMD chips; not yet available for rental by other enterprises.
State after update: Microsoft announced its third-generation Maia 300 AI chip, positioned as the primary inference system for its own products and services with improved cost efficiency and support for reasoning and agentic workloads, reducing its reliance on Nvidia GPUs; production targeted for 2027 and multi-gigawatt internal deployment planned, with model training continuing on Nvidia and AMD.
Source evidence: theblockbeats