Microsoft Maia 100

Maia 100 is Microsoft's first custom AI accelerator: 105 billion transistors on TSMC 5nm with 64 GB of HBM2E, built for AI workloads on Azure. Microsoft runs it at 500 W per accelerator for inference. Sources and verification dates.

Memory64 GB
NodeTSMC 5nm
Owner Microsoft Status Deployed US cloud

Verified

Open the primary source Compare side by side

Every published figure

Source per value
Owner The company that specified the chip and runs it in its own cloud, data centers or products.
Microsoft 1
Role What the owner says the chip is for: training, inference, both, or a general-purpose server CPU.
Training and inference 1
Foundry The fab that manufactures the die (TSMC, Samsung, SMIC, Intel).
TSMC 2
Node Process node as the owner or foundry states it, for example 'TSMC N3' or '7 nm'.
TSMC 5nm 1
Memory On-package memory type (HBM2e, HBM3, HBM3E, LPDDR5) or, for CPUs, the memory the socket drives (DDR5).
HBM2E 2
Memory capacity GB On-package memory per chip in GB. Blank for CPUs, whose memory sits off-package.
64 2
Precision note What the throughput figures mean: dense or sparse, which precision, per chip or per package, and any figure the owner states only in another unit.
Supports 9-bit and 6-bit compute; about 500 MB L1/L2 cache; 12x 400GbE network. 700 W TDP part, run at 500 W in production for inference (ServeTheHome). 2
Power W Chip or package power in watts as published (TDP, TBP or typical power; the source says which).
700 2
Status Announced: public roadmap without verified deployment. Sampling: first silicon or limited internal use. Preview: customers can request early access, without a GA claim. Deployed: stated production use or general availability. Discontinued: program stopped.
Deployed 2
Announced Year the owner first announced the chip publicly.
2,023 1
How to get it How an outside buyer can use the chip: a named cloud instance or service, a product, or 'Internal only'.
Internal only (Azure services) 2

Not verified in the sources reviewed: design partner, partner basis, memory bandwidth, bf16, fp16, mxfp8, mxfp4, mx8, mx4, fp8, int8, fp4, largest pod, deployment scale.

Sources

  1. Microsoft Azure Blog: Microsoft Azure delivers purpose-built cloud infrastructure in the era of AI accessed 2026-11-11
  2. ServeTheHome: Microsoft Maia 100 AI Accelerator for Azure accessed 2026-11-11