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iPhone 17 launch: India pricing of all the models Apple has launched the new iPhone 17 series with four main variants, bringing updates in design, features, and performance over the previous generation. The iPhone 17 offers a brighter 120Hz ProMotion display across all models, new AI-enhanced chips, and camera improvements, with noticeable differences compared to iPhone 16 models in both hardware and pricing. iPhone 17 Variants and Prices iPhone 17: 256GB at ₹82,900, 512GB at ₹1,02,900. iPhone Air: 256GB at ₹1,19,900, 512GB and 1TB options available. iPhone 17 Pro: 256GB at ₹1,34,900, 512GB at ₹1,54,900, 1TB at ₹1,74,900. iPhone 17 Pro Max: 256GB at ₹1,49,900; also available in 512GB, 1TB, and new 2TB variant (up to ₹2,29,900). The lineup is available in colors like Lavender, Mist Blue, Black, White, and Sage. iPhone 17 Key Specifications Display: 6.3-inch Super Retina XDR OLED, 2622×1206 pixels at 120Hz (ProMotion), HDR, up to 3000 nits peak brightness. Processor: A19 Bionic chip (octa-core CPU, 3nm), Apple Neural Engine. RAM/Storage: Up to 12 GB RAM, options: 256GB, 512GB (base model starts at 256GB). Camera: Dual rear (50 MP main + 12 MP ultra wide) / 48 MP Fusion camera (Pro models), 24 MP Center Stage front camera, 4K video support. Battery: ~4190 mAh, fast charging (40W wired, 45W wireless MagSafe), up to 30 hrs video playback. Other Features: iOS v26, Ceramic Shield 2, IP68 water/dust resistance, Wi-Fi 7/8, Bluetooth 6, satellite connectivity, crash detection. Design: Aluminum (iPhone 17, Air) and Titanium (Pro/Air). It’s official! Apple will launch the iPhone 17 at the next #AppleEvent on September 9th at 10 a.m. PDT 🚨 Are you excited? pic.twitter.com/E41ouA8KPn — Apple Hub (@theapplehub) August 26, 2025 iPhone 16 vs iPhone 17: Key Differences Feature iPhone 16 iPhone 17 Display 6.1″ OLED 60Hz 6.3″ ProMotion OLED 120Hz Processor A18 Bionic 3nm A19 Bionic 3nm RAM/Storage 8 GB, up to 512GB Up to 12 GB, up to 512GB Rear Camera 48MP main/12MP ultrawide 48MP main/48MP ultrawide Front Camera 12MP selfie 24MP/18MP Center Stage Battery ~3561 mAh ~4190 mAh Charging 20W (wired) 40W (wired), 45W wireless Special Features Camera Control Button Live Translate, new vapor chamber, AI enhancements Design Aluminum, regular Slimmer bezels, Aluminum/Titanium options Starting Price (IN) ~₹79,900 (128GB) ₹82,900 (256GB) Display: iPhone 17 moves to 120Hz ProMotion (smoother scrolling and visuals). Performance: Upgraded to A19 for improved speed and sustained performance. Camera: Front camera is upgraded; ultrawide gets a boost; better AI image processing. Battery and Charging: iPhone 17 features a larger battery and faster charging. Design and Features: Thinner bezels, improved durability, always-on display, and more AI-powered tools in iOS 26. Apple new phone launch 2025, Booking Date Pre-orders start September 9; India sales begin September 19. IP68 rated, fingerprint-resistant coatings, anti-reflective display, and haptic touch across models. iPhone Air is the thinnest iPhone ever at 5.6mm; Pro/Pro Max offer additional pro camera tools and 2TB storage for the first time. The iPhone 17 lineup sets a significant upgrade in display, speed, and camera technology, justifying a premium over the iPhone 16 family and offering more AI-powered features and durability for 2025.

Reliance Industries’ Bold Leap into AI and Cloud with “Reliance Intelligence” and Green-Powered Data Centers Reliance Industries Limited (RIL), one of India’s largest conglomerates led by Mukesh Ambani, has announced a transformational leap into artificial intelligence (AI) and cloud computing with the launch of its new AI subsidiary, Reliance Intelligence. This ambitious initiative places Reliance at the forefront of India’s AI revolution, promising “AI everywhere for every Indian.” The announcement was a highlight at RIL’s 2025 Annual General Meeting (AGM), marking a defining moment where the company is pivoting from a traditional oil-and-chemicals giant into a deep-tech powerhouse focused on AI infrastructure, services, and partnerships with global technology leaders such as Google and Meta. The Vision: AI Powered by Green Energy at Gigawatt Scale Reliance Intelligence is not just a new unit but a bold vision to build India’s AI backbone, anchored by the creation of gigawatt-scale, AI-ready data centers in Jamnagar. These data centers will be powered entirely by Reliance’s green energy initiatives, combining clean energy with cutting-edge technology. This aligns with Ambani’s vision to not only embrace the future of AI but also ensure that it is sustainable and energy efficient. The scale envisioned is massive: a planned 1-gigawatt (GW) data center facility, delivering immense computing power for AI inferencing and training applications. According to analysts, the power demands and hardware requirements, such as hundreds of thousands of next-generation AI chips, position Reliance Intelligence as an infrastructure competitor similar to major hyperscalers in the U.S. and globally. Strategic Global Partnerships with Meta and Google To accelerate its AI journey, Reliance has forged crucial partnerships with tech giants Meta and Google. The 70:30 joint venture with Meta aims to build next-generation AI infrastructure, deliver AI services, and foster AI talent within India. Meta contributes expertise through its advanced AI models such as the Llama large language model, while Reliance brings infrastructure and scale. Simultaneously, Reliance and Google Cloud have expanded their strategic collaboration to build a dedicated AI-focused cloud region in Jamnagar. Google Cloud will provide state-of-the-art generative AI compute capabilities, innovative platform services, and a secure integrated AI stack. This partnership enables Reliance to tailor infrastructure supporting India’s fastest-growing retail ecosystem and other sectors, making cutting-edge AI accessible and reliable. Notably, the cloud region will be fully compliant with Google Cloud’s stringent global standards and powered by renewable energy, setting new benchmarks for sustainable and sovereign AI infrastructure in India. Broad AI Ecosystem and Consumer Impact Reliance’s AI ambitions extend well beyond enterprise infrastructure. With its earlier acquisition of Haptik, an AI-driven chatbot and conversational platform, Reliance plans to scale AI solutions that can directly interact with millions of retail consumers across its Jio platform. This ties into a broader strategy to embed AI-enhanced services in Jio’s digital ecosystem, impacting telecommunications, retail, digital services, and energy sectors. Moreover, the introduction of Jio AI Cloud 2.0 is seen as a major step in integrating AI into consumer applications. This platform leverages AI to help users organize and retrieve content using voice commands in multiple Indian languages, automatically categorize essential documents, and create AI-powered media content like reels and promotional videos. These innovations aim to further democratize AI and make it a daily utility for every Indian. AI as the New Growth Engine Comparing the AI thrust to the disruptive impact of Jio’s broadband revolution, Mukesh Ambani declared that artificial intelligence has the potential to become the next major growth driver for Reliance Industries. “Just as Jio promised digital everywhere and for every Indian, Reliance Intelligence promises AI everywhere for every Indian,” Ambani stated. The initiative also complements Reliance’s major green energy projects, such as solar power, battery storage, and green hydrogen production, which supply the clean energy required to power the massive data centers. This integration of AI and green energy is expected to create sustainable and efficient operations, securing Reliance’s leadership in the Indian and global tech ecosystems. Reliance Industries’ AI and cloud push is a potential game-changer for India’s technology landscape. It not only addresses the country’s need for sovereign, large-scale AI infrastructure but also accelerates digital inclusion and innovation. By powering these advances with renewable energy, Reliance sets a model for eco-friendly tech growth. Industry experts anticipate that Reliance Intelligence, backed by strong capital investment and global partnerships, will make India one of the world’s most affordable and fastest-growing AI hubs. It is a critical development at a time when India aims to catch up on AI infrastructure and capabilities with global leaders, fostering startups, enterprises, and public sector organizations with accessible AI-driven tools and services. FAQ What is Reliance Intelligence? Reliance Intelligence is Reliance Industries’ newly launched artificial intelligence subsidiary focused on building India’s AI infrastructure and services at a massive scale, including gigawatt-scale data centers powered by green energy. Where will Reliance’s new AI data centers be located? The new AI-ready data centers will be established in Jamnagar, India, powered entirely by Reliance’s renewable energy projects. What is the scale of Reliance’s AI data center project? Reliance plans to build a gigawatt-scale (1 GW) data center facility, incorporating hundreds of thousands of advanced AI chips to handle massive AI computing workloads. Which global tech companies is Reliance partnering with for its AI initiatives? Reliance has strategic partnerships with Meta and Google. Meta is involved in a joint venture to build AI infrastructure and services, while Google Cloud is collaborating to develop an AI-focused cloud region in Jamnagar. How do the AI and cloud initiatives benefit Indian consumers? Through AI-enabled services embedded in its Jio platform and tools like Jio AI Cloud 2.0, Reliance aims to provide AI-powered voice commands, content organization, AI chatbots, and media creation tools accessible to millions of users in multiple Indian languages. What role does green energy play in Reliance’s AI and cloud plans? All data centers powering Reliance’s AI operations are planned to run on renewable energy from Reliance’s solar, battery storage, and green hydrogen projects, ensuring sustainability at scale. Why is AI seen as important for Reliance’s future

India’s Semiconductor Revolution: Poised to Capture Big Share of $1 Trillion Global Market India’s Increasing Role in the Global Chip Market The world today runs on microchips, those tiny but mighty slices of silicon that power everything from smartphones and cars to cloud servers and AI robots. As the world’s hunger for chips continues to grow, India—already a digital superpower—is rapidly stepping up to become a major player in the global semiconductor industry. Here’s how India is making waves, and what this means for the future of technology. India’s Semiconductor Revolution Until recently, the world’s chip production was dominated by countries like Taiwan, South Korea, the US, Japan, and China. Taiwan’s TSMC leads the pack, making over half of the world’s advanced semiconductors. But geopolitical tensions and disruptions during COVID-19 showed the risks of depending on just a few countries for such a vital technology. India, home to one-sixth of humanity and a booming tech talent pool, decided to seize the opportunity. In 2021, the Indian government launched a bold $10 billion “Semiconductor Mission,” offering subsidies and incentives to start local chip design and manufacturing. Fast-forward to 2025, and the progress is visible: Indian factories are rolling out the first “made-in-India” chips, like the Vikram processor developed by ISRO’s Semiconductor Lab and other private players. The creation of five new chip plants, heavy investments from leading global companies, and the successful hosting of “Semicon India 2025” cement India’s status as a growing hub. International companies like ASML now want to be part of India’s chip story, fueling innovation, employment, and new research across the country. Chips Matter in today’s AI, Tech & Automation Industries Chips are the brains inside every modern gadget. They also enable advances in artificial intelligence, autonomous vehicles, green energy, and medical devices. Having a robust domestic chip ecosystem makes India more self-reliant and able to compete in a high-stakes global industry. Semiconductors weren’t invented by one person, but William Shockley, John Bardeen, and Walter Brattain invented the first working transistor at Bell Labs in 1947, setting the stage for modern chips. India’s Bright Future in Chips By creating its own chips, India is aiming to shorten supply chains, reduce costs, and boost sectors like telecom, automotive, defense, and consumer electronics. The government’s commitment, proven by billions in incentives and collaborative research, is showing results: local start-ups, students, and scientists are entering the global value chain. Experts predict India’s chip market could cross $100 billion by 2030. As the rest of the world takes notice, India is emerging not just as a consumer but as an innovator and producer—clear evidence of its rising influence. India’s growing chip industry is a national priority, not just a business bet. By investing in semiconductors, building local talent, and attracting partners, India is joining the ranks of global tech leaders—and helping ensure more stable, secure, and innovative electronics for the entire world. Reinforcing Hon’ble PM @narendramodi's vision for #IndiaTechade, GoI grants first approval under ₹76K Cr. #SemiconIndiaProgramme to @MicronTech’s $2.75Bn (₹ 22,516 Cr.) Semiconductor facility proposal. pic.twitter.com/Nlxn9KH7dm — India Semiconductor Mission (@SemiconIndia) June 22, 2023 What is the world’s largest chip? The world’s largest chip is the Cerebras Wafer-Scale Engine (WSE), an 8.5-inch square chip built for AI tasks. It features 4 trillion transistors and can outpace traditional chips for large-scale AI work. Which country is no. 1 in semiconductors? Taiwan is the global leader, with Taiwan Semiconductor Manufacturing Company (TSMC) controlling over 60% of worldwide chip output and nearly all advanced chip production. Is India making semiconductors? Yes! As of 2025, India is manufacturing its own chips. Facilities like ISRO’s SCL and new fabrication plants are producing homegrown processors, with massive government support driving the “India Semiconductor Mission”. Which is the most powerful chip? As of 2025, TSMC unveiled the world’s most advanced 2-nanometer microchip. For AI, the Cerebras WSE is the largest, and NVIDIA’s Blackwell Ultra is one of the most powerful for AI workloads. What is the best AI chip? NVIDIA leads the pack with its AI chips, especially the Blackwell series and the edge-focused Jetson AGX Orin, offering record-breaking AI performance. Who is the world’s largest memory chipmaker? In 2025, SK hynix of South Korea overtook Samsung to become the world’s top memory chipmaker, leading in high-bandwidth memory critical for AI processors. Who makes chips for NVIDIA? NVIDIA designs its chips but outsources manufacturing mainly to TSMC in Taiwan, known for its advanced process technology. Who owns Snapdragon? Snapdragon is a brand of mobile processors owned and developed by Qualcomm, a leading US-based semiconductor company. The world’s largest chip is the Cerebras Wafer-Scale Engine (WSE), an 8.5-inch square chip built for AI tasks. It features 4 trillion transistors and can outpace traditional chips for large-scale AI work. Taiwan is the global leader, with Taiwan Semiconductor Manufacturing Company (TSMC) controlling over 60% of worldwide chip output and nearly all advanced chip production. Yes! As of 2025, India is manufacturing its own chips. Facilities like ISRO’s SCL and new fabrication plants are producing homegrown processors, with massive government support driving the “India Semiconductor Mission”. As of 2025, TSMC unveiled the world’s most advanced 2-nanometer microchip. For AI, the Cerebras WSE is the largest, and NVIDIA’s Blackwell Ultra is one of the most powerful for AI workloads. NVIDIA leads the pack with its AI chips, especially the Blackwell series and the edge-focused Jetson AGX Orin, offering record-breaking AI performance. In 2025, SK hynix of South Korea overtook Samsung to become the world’s top memory chipmaker, leading in high-bandwidth memory critical for AI processors. NVIDIA designs its chips but outsources manufacturing mainly to TSMC in Taiwan, known for its advanced process technology. Snapdragon is a brand of mobile processors owned and developed by Qualcomm, a leading US-based semiconductor company.