Microsoft has unveiled Maia 200, an AI inference accelerator built on TSMC’s 3nm process, designed to enhance AI token generation efficiency. It features advanced memory systems and high-performance capabilities, making it more efficient than previous generations of AI hardware. Maia 200 will support multiple models, including OpenAI's GPT-5.2, and aims to streamline AI development across Microsoft's cloud services.

Microsoft’s Azure Quantum group has outlined a plan to implement error correction in quantum computing, targeting a reduction of error rates from 1 in 1,000 to 1 in 1 million. Unlike IBM, which integrates both hardware and software for error correction, Microsoft provides access to various quantum hardware from different companies, allowing for flexible error correction schemes. The effectiveness of their proposed system has yet to be demonstrated with actual hardware.