Where is Microsoft Maia 300 headquartered?

Microsoft Maia 300 is headquartered in Redmond, Washington, US. The company has a team of 500+ people.

What does Microsoft Maia 300 do?

Microsoft Maia 300 operates in the AI Chips / Semiconductors sector. Microsoft's next-generation Maia 300 AI accelerator (unveil planned fall 2026), part of the multi-generational Azure Maia custom silicon program to cut Nvidia dependence for Azure AI inference. Maia 300 is Microsoft's in-house AI inference accelerator that delivers ~30% better performance per dollar than existing fleet hardware, engineered end-to-end (silicon to software to systems) for the Azure hardware stack to lower AI cloud costs and reduce reliance on Nvidia GPUs.

When was Microsoft Maia 300 founded?

Microsoft Maia 300 was founded in 1975. It is based in Redmond, Washington, US.

Who is the CEO of Microsoft Maia 300?

Satya Nadella is the CEO of Microsoft Maia 300. The company was founded in 1975.

Where is Microsoft Maia 300 located?

Microsoft Maia 300 is headquartered in Redmond, Washington, US.

What funding stage is Microsoft Maia 300 at?

Microsoft Maia 300 is currently at the Public stage.

How many employees does Microsoft Maia 300 have?

Microsoft Maia 300 has approximately 500+ employees.

Microsoft Maia 300

Category: AI Chips / Semiconductors

Microsoft's next-generation Maia 300 AI accelerator (unveil planned fall 2026), part of the multi-generational Azure Maia custom silicon program to cut Nvidia dependence for Azure AI inference. Microsoft Maia 300 was founded in 1975. The company is led by Satya Nadella. Based in Redmond, Washington, US. Team size: 500+.

Founded: 1975
Headquarters: Redmond, Washington, US
Team size: 500+

Value proposition

Maia 300 is Microsoft's in-house AI inference accelerator that delivers ~30% better performance per dollar than existing fleet hardware, engineered end-to-end (silicon to software to systems) for the Azure hardware stack to lower AI cloud costs and reduce reliance on Nvidia GPUs.

Products and solutions

Azure Maia silicon family: Maia 100 (announced Nov 2023), Maia 200 (announced Jan 2026; TSMC 3nm inference accelerator; 216GB HBM3e; 30% better perf/dollar vs fleet; live in Azure Iowa/Arizona), Maia 300 (next-gen; unveil planned Sept 2026; ~300,000 TSMC units targeted for 2027 delivery, scale ambition 1M+), Companion Cobalt 200 cloud-native CPU and custom networking silicon

Unique value

Systems-level silicon-to-service design tailored to Azure's hardware stack, delivering superior inference efficiency (perf/dollar and perf/watt) and reducing Nvidia dependency, with a full software stack (libraries, compilers, tools) for running models on Maia.

Target customer

Microsoft's Azure cloud customers running large-scale AI inference workloads (Copilot, Azure OpenAI Service, MAI models), and internal Microsoft AI services.

Industries served

Cloud computing / AI infrastructure (Azure), enterprise AI, hyperscale datacenter inference.

Technology advantage

Multi-generational Azure Maia custom-silicon program with silicon-to-software co-design. Current-gen Maia 200: TSMC 3nm, native FP8/FP4 tensor cores, 216GB HBM3e @ 7 TB/s, redesigned memory system, Ethernet scale-up fabric. Maia 300 (next-gen) not yet detailed publicly; backed by Microsoft Azure scale and capital.

How they differentiate

Unlike Nvidia's general-purpose GPUs, Maia is purpose-built for Azure's specific inference workloads with a full software stack and systems-level silicon-to-service co-design, delivering better performance per dollar; Maia 200 claims 3x the FP4 performance of Amazon Trainium and outperforms Google TPU, competing in the hyperscaler custom-silicon race.

Main competitors

Nvidia (GPU dominance), Google TPU (custom cloud AI chips), Amazon Trainium/Inferentia (AWS custom silicon).

Key partnerships

TSMC (manufacturing capacity for 300,000+ Maia 300 units, 2027 delivery), Azure hardware stack integration, reported advanced talks to supply Maia chips to Anthropic (Microsoft invested $5B in Anthropic).

Notable customers

Microsoft Azure cloud services (Copilot, Azure OpenAI Service, MAI models) — internal deployment powering Microsoft's own AI workloads, Reported talks (May–Aug 2026) to supply Maia chips to Anthropic; no closed deal confirmed

Major milestones

Nov 2023: Maia 100 announced at Ignite, Jan 2026: Maia 200 unveiled (TSMC 3nm, 30% better perf/dollar, live in Azure Iowa/Arizona), Jul 2026: Nadella Q4 FY26 earnings call — Maia 200 continues to scale with 30% better perf/dollar, supporting OpenAI and MAI models, Aug 2026: The Information reports Maia 300 unveil planned for Sept 2026 with ~300K TSMC units for 2027 delivery

Growth metrics

Microsoft FY2026: annual revenue ~$331B (+18%), MS Cloud ~$214B (+27%), Azure ~$100B (+41%). Maia 300 targeting 300,000+ units from TSMC for 2027 delivery, scaling toward 1M+.

Market positioning

Microsoft's in-house AI accelerator program, part of the hyperscaler trend toward custom silicon to cut Nvidia costs and influence AI cloud pricing; Maia 300 targets mass production (~300K units, scaling toward 1M+) to meaningfully reduce Nvidia dependence, though it trails Google TPU (~3M units/yr) and Amazon in custom-chip scale.

Geographic focus

Global (US-based hyperscaler; TSMC manufacturing in Taiwan)

About Satya Nadella

Ex-Microsoft EVP of Cloud & Enterprise; Chairman and CEO of Microsoft since 2014. Led Azure/cloud transformation; holds degrees in EE (Manipal), Computer Science (UW-Milwaukee), and MBA (University of Chicago).

Latest news about Microsoft Maia 300

Microsoft Plans Mass Production of Maia 300 AI Chip with 300K TSMC Order

More AI Chips / Semiconductors companies

Official website: https://news.microsoft.com/maia-200/