Redmi Pad 2 launched globally: Specs, price, and India availability details
And the best part is, while this is the global launch, it is also going to be launching in India. Here are the details.
The Redmi Pad 2 has been launched at a price of £169, which is around ₹19,000. This is for the base model, which comes with 4 GB of RAM and 128 GB of storage. There's also a higher-end, Wi-Fi-only model which has 8 GB of RAM and 256 GB of storage, and it costs £219. There are also cellular models, with the 4 GB plus 128 GB model costing £219 and the 8 GB plus 256 GB model costing £259.
Those in India will also get a hold of this tablet, as Xiaomi has announced that the Redmi Pad 2 is coming to the Indian market on 18 June, which happens to be just a few weeks away.
As previously mentioned, the Redmi Pad 2 runs on the MediaTek Helio G100 Ultra chipset with up to 8 GB of RAM. For the display, it has an 11-inch screen, which makes for around 274 pixels per inch. For optics, the device has an 8-megapixel rear camera, and for selfies and video calls, there is a 5-megapixel front-facing camera.
For connectivity, the Redmi Pad 2 is packing Wi-Fi 5, Bluetooth 5.3, and it has a USB Type-C port for charging and more. For multimedia experiences, users will have a decent time with its quad speakers, which support Dolby Atmos.
Coming to the battery life and software, it is packing a 9,000 mAh battery and supports 18-watt charging. The device runs on Xiaomi's HyperOS 2, which is Xiaomi's own custom skin built on top of Android 15.
MOBILE FINDER: iPhone 16 LATEST Price, Specs And More
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
&w=3840&q=100)
Business Standard
29 minutes ago
- Business Standard
From comics to chatbots, startups adopt Google AI for local impact
Eight Indian startups demonstrated applications built on Google's AI platforms at the Google I/O Connect India 2025 conference, showcasing how local companies are leveraging the tech giant's cloud infrastructure to tackle challenges across education, governance, commerce and media. The demonstrations highlighted how India's entrepreneurial ecosystem has embraced Google's AI Studio, Cloud and Vertex AI services to build scalable solutions tailored to the country's diverse market needs. One such startup, Sarvam—selected for the INDIAai Mission—is building AI tools tailored to India's cultural and linguistic diversity. Its open-source Sarvam-Translate model, built on Google's Gemma 3, delivers accurate, context-rich translations across all 22 official Indian languages. Gemma 3's multilingual efficiency helped cut training and inference costs, enabling Sarvam to scale the model, which now handles over 100,000 translation requests weekly. The API also powers Samvaad, Sarvam's conversational AI platform, which has processed more than 10 million conversation turns in Indian languages. 'Gemma breaks down Indian language text into fewer tokens on average, which directly improves the model's ability to represent and learn from these languages efficiently,' said Pratyush Kumar, founder, Sarvam. In the entertainment sector, Dashverse is using Google's Veo 3, Lyria 2 on Vertex AI, and Gemini to build Dashtoon Studio and Frameo—AI-native platforms that turn text prompts into comics and cinematic videos. These tools support its consumer apps, Dashtoon and Dashreels, which now serve over 2 million users. The company has also produced a 90-minute AI-generated Indian mythology epic using Veo 3, and is using Lyria 2 to help users create soundtracks that adapt in real time to narrative pacing on platforms like Dashreels. Similarly, Toonsutra is using Google's Lyria 2 and Gemini 2.5 Pro on Vertex AI to add dynamic music and lifelike character speech to its Indian-language webcomics. Images are animated with Veo 3's image-to-video feature, creating a more immersive and interactive storytelling experience. By combining advanced AI with culturally rooted narratives, Toonsutra is pushing the boundaries of vernacular digital entertainment. On the enterprise side, AI startup CoRover is using Google's Gemini to power customisable, multilingual chatbots for businesses, enabling communication in over 100 languages with near 99 per cent accuracy. Its solutions, including BharatGPT, have supported more than 1 billion users and facilitated over 20 billion interactions across 25,000 enterprises and developers.
&w=3840&q=100)
Business Standard
an hour ago
- Business Standard
The EV revolution throws up new challenges for govt, auto sector
The growth of EVs offers some challenges to both the Indian automotive industry and, more broadly, the government Business Standard Editorial Comment Mumbai Listen to This Article Foreign-owned electric-vehicle (EV) companies are expanding their footprint in India with remarkable swiftness. Vietnamese carmaker VinFast has begun accepting reservations for its VF6 and VF7 models. It has reportedly signed deals with dealers for physical showrooms in 27 cities in India. Meanwhile, Elon Musk's Tesla has finally entered India and is taking orders from its Mumbai showroom for Model Y. The two companies, however, seem to have slightly different strategies. Tesla has chosen not to invest in a local factory, which might have allowed it to avoid paying tariffs on the imported Model Ys. As a result, the car is
Economic Times
2 hours ago
- Economic Times
Be the energy sAIviour: India's green power can fuel the world's AI future
As AI continues its march, the demand for energy-intensive AI processing is skyrocketing. India, with its abundant RE resources and burgeoning AI ecosystem, is well-positioned to become a global leader in green energy-powered AI processing. AI computing needs large-scale data centres, or hyperscale data centres. These require reliable green power at a scale and speed. Global data centre energy requirements are projected to reach 4,000 TWh by 2030, accounting for 5% of global electricity demand. Estimates suggest that training a single AI model can consume up to 284,000 kWh. Renewable power plants have the shortest commissioning timelines due to their modular nature. India has set ambitious RE targets, aiming to generate 50% of its electricity from non-fossil fuels by 2030. With over 300 days of sunshine per year and generous wind speeds, India has immense solar energy potential, which can be harnessed to power AI processing. India's true strength lies in local green energy champions, who have the capacity to implement world-class projects. The renewables industry is backed by a modern single national grid and a dynamic regulatory framework. India's AI ecosystem is growing rapidly, with over 1,000 AI startups. Moreover, 20% of global AI talent resides in India, making it an attractive location for AI companies. The AI market size in India is expected to reach $7.8 bn by 2025, driven by increasing demand for digital services, ecommerce and cloud computing. India's data centre market is growing rapidly, driven by increasing demand for digital services, ecommerce and cloud computing. According to a report by MarketsandMarkets, the Indian data centre market is expected to reach 1,432 MW of installed capacity by 2025, growing at a CAGR of 21.1%. By 2030, the market is projected to reach 3,243 MW of installed capacity, with a growth rate of 15.6%.The needs of a data centre are distinct from other infrastructure projects. They are designed and built for the highest standards of reliability, modularity, redundancy and security. The ability of the data centre to provide backup power with redundancy is also critical for its though diesel generators are the dominant backup technology for data centres, green technologies such as batteries (6-hour backup) and hydrogen fuel cells (48-hour backup) are increasingly being explored to reduce carbon intensity. With water being a significant barrier to the expansion of hyperscale data centres, intelligent integration with technologies such as fuel cells that produce water as a by-product could be an interesting proposition. Google's AI-powered data centre in Hyderabad is powered by 100% RE, setting a precedent for sustainable AI processing. Microsoft's AI-powered data centre in Pune uses solar power for primary energy needs, further demonstrating the potential for green energy-powered AI processing. The Make in India initiative encourages the development of green data centres and AI infrastructure, providing a supportive policy framework for the growth of this sector. To ensure success in the AI data centre sector, India should promote a net- zero hyperscale data centre policy, aiming to position itself as the world's most sustainable data centre destination. The country should aim to unlock a significant number of carefully selected sites that can provide 24x7 green power with appropriate green backup power India should nurture skilled talent capable of building cutting-edge data centres with high levels of autonomy and security. Innovations for efficient configuration of data centres that minimise energy and water requirements should be promoted through publicly funded pilots. Finally, India should build global trust in the integrity of data protection on Indian soil with appropriate policy, regulatory and outreach initiatives. India's clean energy strengths and growing AI ecosystem make it an ideal location to become a world leader in green energy-powered AI processing. By leveraging its RE strengths and addressing the challenges of AI data centres proactively, India can reduce its carbon footprint, enhance its reputation as a hub for sustainable business and innovation, and drive economic growth and job creation in the clean energy and AI sectors.
