Maia 100
Maia 100 is a Microsoft custom AI chip (ASIC) based on the Custom tensor core + MX format architecture, first released in 2024.
Built from BenchGecko data as of April 14, 2026 · updates when the data changes
Maia 100 is a Microsoft custom AI chip (ASIC) based on the Custom tensor core + MX format architecture, first released in 2024.
Basic
The Microsoft Azure Maia 100 is a custom AI chip (ASIC) made by Microsoft. Peak throughput is 800 TFLOPS at FP16/BF16 and 1,600 TFLOPS at FP8. It carries 64 GB of HBM2e with 1.6 TB/s of memory bandwidth. Rated power (TDP) is 700 W. It is built on N5 at TSMC.
Deep
In the BenchGecko dataset it sits in the specialized tier: wafer-scale, LPU and other custom designs. Disclosed buyers include Microsoft. Specs come from manufacturer datasheets; the spec card on this page shows the dataset values and their as-of date.
Expert
That is 1.14 FP16 TFLOPS per watt. Memory bandwidth per unit of compute is 2 GB/s per FP16 TFLOP: a higher ratio helps memory-bound inference, while peak TFLOPS matter more for compute-bound training. Fabrication: Taiwan. Real throughput depends on the model, precision, batch size and software stack, so compare tokens per second per dollar for your own workload.
Depending on why you're here
- ·Maia 100: 800 TFLOPS FP16/BF16 · 1,600 TFLOPS FP8
- ·Process: N5 at TSMC
- ·Tier: specialized
- ·64 GB of HBM2e per chip
- ·No public cloud listing for Maia 100 in the dataset
- ·Compare it with other chips on /hardware/maia-100
- ·Disclosed buyers: Microsoft
- ·Microsoft · fabbed at TSMC
- ·Supply tightness is tracked on /hardware
- ·Maia 100 is a chip built to run AI, made by Microsoft
- ·It has 64 GB of fast memory so large models fit
- ·Companies buy or rent these to train and serve AI models
Frequently Asked Questions
Read the primary sources
- Maia 100 announcementnews.microsoft.com