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Microsoft will mainly use its own Maia 300 chips for inference once production starts in 2027

Microsoft expects its Maia 300 accelerator to deliver 40% more tokens per megawatt than leading GPU systems. Evercore ISI estimates Maia will make up about 10% of Microsoft's AI chip spending by the first quarter of 2027.

The Investor · Invest desk

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Photograph accompanying Microsoft will mainly use its own Maia 300 chips for inference once production starts in 2027
Photo: cnbc.com
Maia 300 expected to yield more tokens per megawatt Microsoft's stated expectations for Maia 300, Evercore ISI's spending estimate and a Cryptobriefing report on chip talks with TSMC.

Evercore ISI estimates Maia at about 10% of Microsoft's AI chip spending by the first quarter of 2027. Microsoft expects 40% more tokens per megawatt than leading GPU systems and 96 chips per rack, double the Maia 200. Cryptobriefing reports TSMC talks for over 300,000 chips for 2027.

Maia 300 expected to yield more tokens per megawatt
FigureValueNoteClaim
Maia share of Microsoft AI chip spend, Evercore estimate10 %, aboutby the first quarter of 20277
More tokens per megawatt vs leading GPUs, expected40%Scott Guthrie's stated expectation13
Maia 300 chips per rack, expected96 chipsdouble the number for the Maia 2008
Chips Microsoft is negotiating with TSMC, Cryptobriefing300,000 chips, overfor delivery in 202721

What happened

  • Microsoft expects to fit 96 Maia 300 chips into each data center rack, double the number in a Maia 200 rack.
  • Microsoft is targeting multi-gigawatt deployments of chips in the Maia family, according to a blog post from Executive Vice President Scott Guthrie.
  • For training models, Microsoft partners with Nvidia and AMD, general manager Alistair Speirs said.
  • Unlike Google's tensor processing units or Amazon's Inferentia and Trainium, Microsoft's accelerators cannot be rented by the hour to other companies.

Why it matters

  • exposure On Evercore's estimate about 90% of Microsoft's AI chip spending in early 2027 still goes to chips other than Maia, so the supplier question belongs to the 2027 ramp.
  • cost If the target holds, the saving lands first on Microsoft's own power bill: 28.6 megawatts per 100 megawatts of GPU-equivalent output.
  • contradiction Microsoft calls Maia 300 its primary inference system, yet Evercore's 10% covers all AI chip spending, training included. The starting point is far from 'mainly', and only the post-2027 ramp can close the gap.

The 40% is a forecast about power. "We expect Maia 300 to deliver 40 percent more tokens per megawatt compared to leading GPU-based systems," said Scott Guthrie, executive vice president of Microsoft's cloud group [13]. If it holds, a site that needs 100 megawatts of GPU systems for a given output would need about 71.4 megawatts of Maia 300 for the same output [19], a saving of 28.6 megawatts [20]. Cryptobriefing noted that it is a target, not a benchmark anyone has independently verified [16].

Power is one line of the cost. The only per-dollar figure on record belongs to the previous chip: CEO Satya Nadella told analysts in July that Maia 200 "delivers 30% better performance per dollar than the latest generation hardware in our fleet" [3]. The sources do not include one for Maia 300. Alistair Speirs, a Microsoft general manager, tied power to the bill: "You can think of power translating pretty directly into operational cost for something like a data center as well" [17].

We think the near-term effect on Nvidia is small and the later effect depends on volume. Evercore's 10% estimate comes from analysts who recommend buying Microsoft shares [7], and it falls in the same year Maia 300 production starts [2]. Volume is the open variable. Cryptobriefing, citing unnamed "research findings", reported that Microsoft is negotiating with TSMC to make more than 300,000 Maia 300 chips for delivery in 2027 [21]. At 96 chips a rack that is about 3,125 racks [22], after only tens of thousands of Maia 200 units [5]. The figure is not attributed to Microsoft.

The case against us is that 10% is a starting share: if the 300,000-chip figure is right, the 2027 ramp is several times Maia 200's. Speirs, who declined to give a timeline for the multi-gigawatt deployments [11], said "We reserve a little bit of optionality there, because this is an industry that's changing very fast, and we want to deploy the right silicon for the right models that we're using at the right time as well" [10].

We would be wrong about the pace if Microsoft confirms the 300,000-chip volume or if analyst estimates of Maia's spending share rise well above 10% during 2027. The efficiency claim, meanwhile, has no outside test. "Nobody has tested them outside of Microsoft yet," said Patrick Moorhead, CEO of advisory firm Moor Insights and Strategy [15].

What to watch

  • Whether Microsoft or TSMC confirms the reported 300,000-chip Maia 300 volume for 2027 delivery [c12].
  • Whether the 40% tokens-per-megawatt target holds in 2027 deployment, and whether Microsoft publishes a per-dollar figure for Maia 300 [c2].
  • Whether an outside customer such as Anthropic signs for Maia capacity; Cryptobriefing described only discussions [c17].

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence40
Adoption10
Hype gap+25
Incentives65
Confidence60
Why these scores

Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    Starting with its third-generation Maia AI accelerator, unveiled on Monday, Microsoft said it will mainly rely on its own silicon to handle incoming requests.

  2. [2]

    Production of the Maia 300 starts in 2027.

  3. [3]

    CEO Satya Nadella told analysts in July that Maia 200 "delivers 30% better performance per dollar than the latest generation hardware in our fleet" and said it was handling OpenAI models.

    ReportedSupportedSource: Satya Nadella, as reported by CNBC2 sources— create a free account to open themView cited source

Sources

8 independent publishers whose own reporting we read for this story.

  1. cnbc.com

    1 article · October 12, 2026

    Microsoft to rely more on homegrown AI chips, reducing dependence on Nvidia
  2. cryptobriefing.com

    1 article · October 12, 2026

    Microsoft unveils Maia 300 AI chip to reduce reliance on Nvidia
  3. digitimes.com

    1 article · October 12, 2026

    Microsoft's Maia 300 rack: 96 accelerators, HBM4, mostly liquid-cooled
  4. finance.yahoo.com

    1 article · October 12, 2026

    Microsoft reveals Maia 300 AI chip as it works to reduce dependence on Nvidia, AMD
  5. geekwire.com

    1 article · October 12, 2026

    Microsoft makes ‘biggest bet yet’ on its own silicon, unveils new AI chip to reduce reliance on Nvidia – GeekWire
  6. qz.com

    1 article · October 12, 2026

    Microsoft is making its homegrown Maia 300 chip the primary engine for AI inference
  7. techradar.com

    1 article · October 12, 2026

    Microsoft unveils Maia 300, its most powerful AI chip yet - and it might make using Teams, Copilot and Cowork much better at last | TechRadar
  8. theverge.com

    1 article · October 12, 2026

    Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs

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