As of: 2026-10-14 00:22 CEST. Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/ Canonical page: https://postcutoff.com/p/x-benbajarin-2109655386727108698/ # Ben Bajarin: Maia 300 rack and networking details Ben Bajarin (@BenBajarin), X, 2026-10-12. Source: https://x.com/BenBajarin/status/2109655386727108698 ## Why it matters Analyst notes that add deployment details: 96 accelerators per rack at about 167 kW, 30% better tokens per dollar, 12,000-accelerator plan of record. ## Summary Posted Oct 12, 2026 (14:40 UTC), quoting @satyanadella (https://x.com/satyanadella/status/2109631106404487523). Bajarin (Creative Strategies) lists details from Microsoft's briefing: a Maia 300 rack is planned to hold 96 accelerators at about 167 kilowatts, with liquid-cooled chips in liquid-cooled facilities or with heat-exchanger units in air-cooled data centers; Microsoft projects up to seven times more tokens per rack than Maia 200, 1.4 times more tokens per gigawatt and 30% better tokens per dollar; Ethernet-based scale-up networking with a custom transport and two-tier switching; 'Current deployments are centered on 64- to 128-accelerator clusters, with 12,000 accelerators representing a current plan of record.' (He writes 'Maya'.) _Metrics as of 2026-10-13 via api.fxtwitter.com: 7,672 views, 44 likes, 6 reposts. Author: about 51,085 followers._ ## Archived text > A few more interesting nuggets on this announcement as $MSFT starts to move custom silicon into their scale up compute domain. > > - A Maya 300 rack is planned to contain 96 accelerators at approximately 167 kilowatts and can use liquid-cooled chips with either liquid-cooled facilities or heat-exchanger units in air-cooled data centers. > > - Microsoft projects up to seven times more tokens per rack than Maya 200, 1.4 times more tokens per gigawatt, and 30% better tokens per dollar. > > - The architecture uses Ethernet-based scale-up networking, custom transport, DMA, and two-tier switching to connect across racks and potentially colos. Current deployments are centered on 64- to 128-accelerator clusters, with 12,000 accelerators representing a current plan of record. > > > Quoting @satyanadella: Today we are announcing our biggest bet yet on our own silicon. > > > > Starting next calendar year, we will scale our Maia family to multi-gigawatt deployments, making it the primary inference system for our own product and services. > > > > And we’re introducing Maia 300, which delivers 40% more tokens per watt compared to leading GPU-based systems. > > > > We are already deploying Maia 200 across the US, Europe, and Australia, delivering up to 1.7x more tokens per watt across experiences in Teams and Copilot. > > > > Our goal is to build on the full-stack efficiency gains we’ve already seen, while continuing to bring the latest innovations from across the ecosystem into our fleet. Archived 2026-10-13 via fxtwitter (unofficial). Counts: 7,675 views, 44 likes, 6 reposts, 9 replies (at fetch time) ## Cited in - 2026-10-12: [Microsoft announces Maia 300, its third in-house AI chip, and plans multi-gigawatt Maia deployments from 2027](https://postcutoff.com/e/2026-10-12-microsoft-maia-300/)