Semiconductor Manufacturing: Hyderabad IT Firm To Develop AI Chips With US Partner

Edge AI chips are specialised processors designed to run artificial intelligence tasks locally on devices at the "edge" of a network, near the data source, instead of sending data to a remote cloud server.

The chips will enable real-time, on-site data processing and decision-making for mission-critical applications like Predictive Maintenance (PdM). It has high computational power, designed to perform Tera Operations Per Second (TOPS) for real-time AI inference.

This will allow chips will process large volumes of sensor data locally, providing instantaneous insights into critical parameters such as vibration, temperature, and pressure. This enables immediate anomaly detection and automated responses to prevent downtime and catastrophic failures, Blue Cloud Softech said.

By processing raw data on-site and transmitting only actionable insights to the cloud, the solution will reduce bandwidth usage, lower transmission costs, and optimise operational efficiency, the company said.

In India, the industrial AIoT market is expected to surpass $1 billion by 2027, driven by the adoption of AI and IoT technologies across critical sectors like Oil & Gas.

The government has been pushing for local design and manufacturing of advanced semiconductors to cut reliance on imports. The 'India Semiconductor Mission' has been provided an outlay of Rs 76,000 crore.

This year, India inaugurated its first centres for advanced 3-nanometer chip design in Noida and Bengaluru.