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Major companies like Microsoft Corp., Alphabet Inc's Google, and the creators of ChatGPT, OpenAI, use cloud computing that relies on thousands of chips in servers within massive data centers across the world to train AI algorithms. These algorithms, called models, analyze data to assist them in learning to perform tasks. The success of ChatGPT has led other companies to compete in releasing their own rival AI systems and chatbots, or develop products that utilize large AI models to provide features to various users, such as Instacart shoppers, Snap users, and CFOs.
Compared to other types of computing, Al consumes more energy, and creating one model can consume more electricity than the total consumption of 100 US homes in a year. Despite this, due to the rapid growth of the industry and a lack of transparency, the total amount of electricity consumption and carbon emissions resulting from Al remains unknown. Additionally, the emissions can vary greatly depending on the type of power plants providing the electricity. For example, data centers that use electricity from coal or natural gas-fired plants will have significantly higher emissions than those that use power from solar or wind farms.
Although the energy usage and carbon emissions from creating a single model have been calculated by researchers, and some companies have disclosed their energy consumption, there is no comprehensive estimation for the overall amount of power that AI technology uses. Sasha Luccioni, a researcher at Hugging Face Inc. - an AI company, has published a paper measuring the carbon footprint of their product BLOOM, which competes with OpenAI's GPT-3. Additionally, she has attempted to estimate the same for OpenAI's popular ChatGPT using a restricted set of publicly accessible data.
Transparency regarding the power consumption and emissions of Al models is crucial, according to researchers such as Luccioni. With this information, governments and companies can weigh the benefits of using large models such as GPT-3 for medical research or language preservation against the environmental cost. Conversely, using Al for frivolous tasks like writing rejected Seinfeld scripts or finding Waldo may not be justifiable. Nonetheless, increased transparency could also lead to greater scrutiny, as seen in the crypto industry, where Bitcoin's significant energy consumption has attracted criticism, and some nations have banned or restricted fossil-fuel-powered crypto-mining.
Although Al models are growing in size, Al companies such as Microsoft, Google and Amazon are continually working on enhancements to make them operate more efficiently. The three largest US cloud companies have all pledged to be carbon negative or carbon neutral. Google plans to achieve net-zero emissions across its operations by 2030, and its aim is to run its data centers and offices entirely on carbon-free energy. The company also uses Al to enhance energy efficiency in its data centers, where Al technology directly controls cooling.
OpenAl has made its application programming interface for ChatGPT more efficient, thus reducing electricity usage and costs for its customers. The company runs on Azure and works in collaboration with Microsoft to enhance efficiency and reduce its footprint when running large language models. Similarly, Microsoft is investing in renewable energy and taking other measures to reach its goal of being carbon negative by 2030. It is also conducting research to measure the energy usage and carbon impact of Al and devising ways to make large systems more efficient, both during training and application.
However, companies are generally reluctant to disclose the models they use and the amount of carbon they emit. To make Al run more efficiently, developers or data centre could schedule training at times when power is cheaper or at a surplus. Al firm that train their models when power is in surplus could also advertise their green credentials as a selling point. "It can be a carrot for them to show that they're acting responsibly and acting green," said Ben Hertz-Shargel, an energy consultant at Wood Mackenzie.
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Samsung has kicked off a festive sale, offering significant discounts on its latest wearables lineup, including the Galaxy Watch Ultra, Galaxy Watch 7, and Galaxy Buds 3 Series. These offers come just in time for Christmas and include cashback, upgrade bonuses, and easy financing options.
Product | Original Price | Discount |
---|---|---|
Galaxy Watch Ultra | Rs. 59,999 | Up to Rs. 12,000 |
Galaxy Watch 7 | Rs. 29,999 | Up to Rs. 8,000 |
Galaxy Buds 3 Pro | Rs. 17,560 | Rs. 5,000 off |
Galaxy Buds 3 | Rs. 14,999 | Rs. 4,000 off |
Galaxy Buds FE | Rs. 9,999 | Rs. 4,000 off |
Samsung’s festive discounts make it the perfect time to upgrade to premium wearables like the Galaxy Watch Ultra and Galaxy Watch 7. With generous cashback offers, no-cost EMIs, and exciting bonuses, the brand ensures there’s something for everyone this holiday season.
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According to IDC's* most recent study, Huawei became the market leader for wearables worldwide for the first three quarters of 2024. In addition to attaining a 16.9% market share worldwide and controlling the domestic Chinese market with a 35.7% market share, the company reported an amazing 44.3% year-over-year growth in global shipments.
Notably, Huawei surpassed Apple in the market for wrist-worn devices, which Apple had dominated for many years. With the arrival of the Apple Watch Series 10, Apple momentarily reclaimed the top rank in Q3, but Huawei's sustained pace allowed it to recover the lead for the entire three-quarter period.
Huawei's emphasis on cutting-edge health features and pricing provided them an advantage in the larger wearables market, even though Apple continues to lead the global smartwatch market.
Company | Market Share (Q1-Q3 2024) | Growth Rate (YoY) |
---|---|---|
Huawei | 16.9% | 44.3% |
Apple | Slightly below Huawei | Slower than Huawei |
Xiaomi | Third place | 26.5% |
A strong localization plan was another factor that contributed to Huawei's success. Through regional operations and strategic alliances, the corporation increased its footprint in the Middle East, Asia Pacific, Latin America, and Europe.
Furthermore, by emphasizing its focus on fusing cutting-edge technology with user-centric health solutions, Huawei's advertising campaigns like "Light Up Your Rings" and "Tech with Love" helped it connect with a larger audience.
Huawei's impressive 2024 performance, which included overtaking Apple in the wrist-worn device market, highlights its competitive advantage and global presence. Huawei is revolutionizing the wearable technology market and establishing new benchmarks for the future with its emphasis on localization and health technology.
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NVIDIA unveils the Jetson Orin Nano, a budget-friendly generative AI supercomputer. Priced at $249, it’s compact yet offers 67 TOPS of AI performance. Designed for developers, students, and small businesses to explore edge AI and robotics. Offers 50% better memory bandwidth than its predecessor, boosting efficiency.
The Jetson Orin Nano, NVIDIA's most affordable generative AI supercomputer, is now available for $249 (about ₹21,000). With its potent capabilities and affordable pricing, this palm-sized device is revolutionizing AI for developers, corporations, and hobbyists.
The Jetson Orin Nano is part of NVIDIA’s Jetson lineup, known for compact, high-performance computing devices. It is specifically designed for robotics and AI to introduce cutting-edge AI capabilities to a wider range of users, including students and enthusiasts.
The Jetson Orin Nano has a 6-core ARM CPU that can perform up to 67 trillion operations per second (TOPS) and is powered by NVIDIA's Ampere architecture. As a result, it can manage challenging AI tasks like generative AI models, computer vision, and natural language processing (NLP).
With a memory bandwidth of 102GB/s, the Orin Nano delivers a 50% boost over its predecessor. For demanding workloads, this improvement guarantees improved efficiency and faster data processing.
The Jetson Orin Nano combines powerful GPU, CPU, and software tools to simplify AI development. The integrated GPU excels in parallel processing, enabling seamless training and deployment of AI models. NVIDIA has also introduced software updates that enhance the generative AI performance of the Orin Nano, further improving its capabilities for existing users.
This supercomputer has been designed for edge computing real-time AI applications. It’s suitable for applications in robotics, autonomous systems, and smart cities, where low latency and speedy decision-making are critical. It can be used by developers to test generative AI tasks, deploy AI models, and develop creative solutions.
The Orin Nano gives users access to pre-trained models and development tools as part of NVIDIA's extensive AI software ecosystem. For both novices and experts, this makes it a flexible platform.
The introduction of the Jetson Orin Nano emphasizes how crucial edge computing and reasonably priced AI solutions are becoming. Tasks that traditionally required enormous data centers may now be handled on a tiny device, cutting infrastructure costs and speeding up AI deployment across industries including healthcare, manufacturing, and logistics.
With its affordable price, powerful performance, and compact design, the Jetson Orin Nano is paving the way for a future where AI is accessible to everyone. Whether for personal projects or industrial applications, this supercomputer opens new doors for innovation.
In summary, NVIDIA’s Jetson Orin Nano is a compact AI supercomputer designed to make cutting-edge AI accessible to a wider audience. Priced at $249, it delivers impressive performance with 67 TOPS and improved memory bandwidth. Ideal for robotics, edge AI, and generative AI tasks, it provides a cost-effective way to explore and deploy AI solutions. As edge computing becomes more critical, the Orin Nano represents a step forward in affordable and efficient AI development.
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##Key Highlights
Samsung is getting ready to release the Galaxy Tab S10 FE, a successor to the **Tab S9 FE from last year, in India. The Bureau of Indian Standards (BIS) website has seen the impending tablet, suggesting that it may soon be available in Indian markets.
There will likely be two Galaxy Tab S10 FE variants, each with a different battery capacity. Model numbers EB-BX526ABE and EB-BX526ABY were used to list the battery details. This implies that Samsung might sell the tablet in two different versions, one of which might be a 5G model. The advertisement, however, provides no information about the precise debut date or additional features.
Interestingly, a recent update on Samsung’s US website mentioned the Galaxy Tab S10 FE series, stating that customers in the US who purchase it will get one year of the note-taking app Goodnotes for free. This offer is valid for purchases made before July 31, 2025. Based on this, it’s likely that the tablet will launch before that date.
The Galaxy Tab S10 series is expected to include the Galaxy Tab S10 FE, Galaxy Tab S10, and Galaxy Tab S10 Ultra. Samsung’s FE (Fan Edition) tablets are known for offering premium features at an affordable price, so this launch could attract buyers looking for high-quality tablets without breaking the bank.
While Samsung hasn’t officially confirmed the Galaxy Tab S10 FE launch date, the BIS listing and other hints suggest it could arrive in India soon. Fans of Samsung’s tablets can look forward to an exciting addition to the Galaxy Tab lineup.
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Oppo is gearing up to launch its Reno 13 series in India after its November debut in China. A leaked live image suggests that the Indian version of the Oppo Reno 13 might feature an exclusive dark blue or purple shade, which sets it apart from China's black, light blue, and light purple options.
The handset is expected to carry similar specifications as its Chinese counterpart, making it an appealing choice for tech enthusiasts.
The Oppo Reno 13 India variant appears to maintain the sleek design of its Chinese version, featuring a rectangular camera module on the back with rounded edges. The module houses three sensors and a ring-shaped LED flash. The letters "AI" inscribed on the camera setup suggest advanced AI capabilities for photography.
The leaked image also hints at a premium build, with the rear panel and camera bump possibly crafted from a single piece of glass. A unique glow around the camera module adds a touch of elegance.
Feature | Details |
---|---|
Rear Camera | 50MP dual-camera setup |
Selfie Camera | 50MP front camera |
Chipset | MediaTek Dimensity 8350 |
Battery | 5,600mAh with 80W wired, 50W wireless fast charging |
Display | 6.59-inch full-HD+ AMOLED |
Software | Android 15 with ColorOS 15 |
Build | IP69-rated for dust and splash resistance |
The Oppo Reno 13 series, including the base and Pro variants, has been spotted on various certification sites like BIS and TDRA, signaling an imminent launch in India and other global markets.
In China, the Reno 13 comes equipped with powerful features like a MediaTek Dimensity 8350 chipset and robust battery life, which are expected to be retained for the Indian market.
With its sleek design, advanced camera features, and premium build quality, the Oppo Reno 13 is set to be a promising addition to India’s smartphone market. The exclusive color option adds a unique touch, catering to users who value style and functionality.
Stay tuned for the official announcement and pricing details, as Oppo continues to impress with innovative releases.
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