HP India launched more than 20 new products and solutions in New Delhi, including its first tablet for the Indian market [1].
This expansion signals a strategic push to capture the growing demand for artificial intelligence and hybrid-work tools among Indian students and professionals. By diversifying its hardware portfolio beyond traditional laptops, HP aims to compete more aggressively in the tablet and AI-integrated computing sectors.
Among the new releases is the HP OmniPad 12, the company's first tablet available in India [2]. The launch also included the HP EliteBoard G1a, an AI keyboard PC designed for high-performance tasks. This specific device features a Neural Processing Unit (NPU) with performance reaching up to 50 TOPS [1].
Beyond tablets and keyboard PCs, HP introduced new models in the OmniBook and EliteBook laptop lines [3]. The company also updated its print and workforce solutions to better support enterprise environments [2].
These products were unveiled during a launch event on May 11, 2024 [3]. The company said the new range is intended to cater to the specific needs of creators, professionals, and enterprises [1].
The rollout focuses heavily on the integration of AI to streamline workflows. The EliteBoard G1a, for example, leverages its NPU to handle complex AI workloads locally, reducing the reliance on cloud processing for certain tasks [1].
HP India is positioning these tools as essential for the modern hybrid workforce. The combination of the OmniPad 12 and the updated laptop series provides a variety of form factors for users who move between office and home environments [2].
“HP India launched more than 20 new products and solutions in New Delhi”
The introduction of the OmniPad 12 and AI-specific hardware like the EliteBoard G1a indicates HP's shift toward a more diversified ecosystem in India. By integrating high-TOPS NPUs into keyboard PCs, HP is targeting the 'AI PC' trend, attempting to lock in enterprise and professional users who require local machine learning capabilities for productivity and data security.





