Latest news with #TPU
Yahoo
20-05-2025
- Business
- Yahoo
Google May Have an Under-Appreciated Advantage in the AI Arms Race
Google's AI model, Gemini, saw a larger increase in use between September and March than its major rivals, according to a Morgan Stanley survey. Gemini is also more commonly used for commercial purposes, like price comparisons and product recommendations, than competitors like ChatGPT and Meta AI. Commercial applications are likely to be front and center during the company's two-day Google I/O developer conference kicking off on uncertain standing in the AI arms race has been cause for concern among investors lately. But recent Morgan Stanley research suggests the search giant may have an under-appreciated advantage. Google's Gemini saw a larger increase in usage between September and March than its primary competitors, Meta AI and OpenAI's ChatGPT, according to Morgan Stanley. And in March, about 40% of survey respondents used Gemini on a monthly basis, compared with ChatGPT's 41% and Meta AI's 39%. Gemini was also more widely used as a commercial tool than its competitors. Forty-six percent of respondents used Gemini to research new products in March, while 37% used it to compare prices and 34% shopped on the platform. ChatGPT was used by 41% of respondents to research products, 31% to compare prices, and 25% to shop. 'This in our view speaks to GOOGL's still entrenched user behavior within commercial activity,' Morgan Stanley analysts wrote. 'The key from here is again for GOOGL to ship further Gemini/TPU enabled capabilities across its leading user bases and data sets to maintain its leadership at the top of the commercial funnel.' Investors have grown increasingly worried about the impact AI will have on Google's (GOOG) (GOOGL) bread-and-butter search business. Comments from an Apple executive earlier this month amplified Wall Street's concerns that the rising popularity of AI is eroding Google's dominance in the online search market. (Google, for its part, has rolled out AI summaries on its search engine, and recently said it monetizes AI queries at the same rate as traditional search.) Google's search business also faces a threat from antitrust regulators, who successfully argued last year that the company operated an illegal search monopoly. They have recommended the company be forced to sell its Chrome web browser, end exclusive distribution agreements with device makers like Apple, and share its search data with competitors. The company is likely to spotlight commercial applications during its annual Google I/O developer conference, which kicks off with a keynote from CEO Sundar Pichai on Tuesday afternoon. Google's AI stack, Gemini API, and Gemma open models are among the AI features being pitched to developers. The event could be pivotal for the tech giant in its effort to reframe the narrative around its AI opportunity. 'We believe Google is heading into its innovation phase of AI and the worries around search days in the rear view mirror are way overdone,' wrote Wedbush analysts in a note on Tuesday. Read the original article on Investopedia Sign in to access your portfolio
Geeky Gadgets
14-05-2025
- Geeky Gadgets
TPUs vs GPUs the AI Hardware Decision : Why Your Hardware Choice Matters More Than Ever
What if the key to unlocking faster, more efficient AI development wasn't just in the algorithms you write, but in the hardware you choose? For years, the debate between Google's Tensor Processing Units (TPUs) and NVIDIA's Graphics Processing Units (GPUs) has divided developers, researchers, and tech enthusiasts alike. Both are engineered for artificial intelligence, yet their architectures and capabilities diverge in ways that can make or break your AI project. With NVIDIA's GPUs dominating the market and Google's TPUs offering specialized performance for certain tasks, the choice isn't as straightforward as it seems. Understanding the nuances of these technologies is no longer optional—it's essential for anyone navigating the rapidly evolving AI landscape. In this guide, Trelis Research explore the core differences between TPUs and GPUs, from memory architecture to cost efficiency, and how these impact real-world AI workloads. You'll discover why NVIDIA's H100 and H200 GPUs are often favored for scalability and affordability, while Google's TPU V6E shines in specific low-latency scenarios. We'll also delve into critical factors like parallelization techniques, software optimization, and deployment flexibility, offering insights that could transform how you approach AI hardware decisions. By the end, you'll have a clearer picture of which technology aligns best with your goals—and why the debate between TPU and GPU is far from over. TPU vs GPU Comparison Key Hardware Differences The fundamental differences between TPUs and GPUs stem from their hardware architecture and memory capabilities. NVIDIA's H100 GPU features an impressive 80 GB of VRAM with high-bandwidth memory (HBM), while the H200 takes this further with 141 GB of VRAM and even faster memory speeds. In contrast, Google's TPU V6E is equipped with only 32 GB of VRAM, which can be a significant limitation for memory-intensive tasks. Another critical distinction lies in interconnect speeds. TPUs have slower interconnects, which can hinder their ability to efficiently manage large-scale, distributed workloads. NVIDIA GPUs, with their advanced architecture, are better suited for handling such tasks, offering greater flexibility and scalability for developers. Performance: Speed and Scalability Performance is a pivotal factor when comparing AI hardware, as it directly impacts the efficiency and scalability of workloads. TPUs and GPUs exhibit notable differences in concurrency handling, throughput, and cost efficiency: Time to First Token: TPUs excel at generating the first token quickly under low concurrency levels. However, as concurrency increases, their performance diminishes, making them less suitable for large-scale applications requiring high parallelism. TPUs excel at generating the first token quickly under low concurrency levels. However, as concurrency increases, their performance diminishes, making them less suitable for large-scale applications requiring high parallelism. Token Throughput: NVIDIA GPUs, particularly the H200, outperform TPUs in overall throughput. This makes them ideal for high-demand AI models that require consistent and large-scale processing capabilities. NVIDIA GPUs, particularly the H200, outperform TPUs in overall throughput. This makes them ideal for high-demand AI models that require consistent and large-scale processing capabilities. Cost per Token: NVIDIA GPUs are more cost-effective. The H200 offers the lowest cost per token, followed by the H100, while TPUs are comparatively more expensive for similar workloads. These performance metrics highlight the scalability and cost advantages of NVIDIA GPUs, particularly for developers managing complex AI models or large datasets. NVIDIA GPUs vs Google TPUs: Which is Best for Your AI Project? Watch this video on YouTube. Enhance your knowledge on AI development by exploring a selection of articles and guides on the subject. Parallelization: Maximizing Efficiency Parallelization techniques are essential for optimizing hardware performance, especially in AI workloads. Both TPUs and GPUs support pipeline and tensor parallelization, but their effectiveness varies significantly: Pipeline Parallelization: This technique divides model layers across multiple devices, reducing VRAM usage. However, it increases the time to first token, making it less suitable for latency-sensitive tasks where quick responses are critical. This technique divides model layers across multiple devices, reducing VRAM usage. However, it increases the time to first token, making it less suitable for latency-sensitive tasks where quick responses are critical. Tensor Parallelization: By splitting matrices within layers, tensor parallelization enhances performance but demands substantial VRAM, particularly for storing key-value (KV) caches. NVIDIA GPUs, with their larger VRAM capacities, handle this method more effectively than TPUs. The larger memory capacity of NVIDIA GPUs gives them a distinct advantage in handling parallelization techniques, allowing them to deliver better performance and efficiency for complex AI workloads. Cost Efficiency Cost is a decisive factor for many developers, and NVIDIA GPUs consistently outperform TPUs in terms of cost-efficiency. The H200 GPU offers the lowest cost per token, followed closely by the H100. While TPUs deliver strong compute performance, their higher operational costs make them less appealing for budget-conscious developers. For most AI workloads, NVIDIA GPUs strike a better balance between performance and affordability, making them the preferred choice for developers seeking cost-effective solutions without compromising on efficiency. Software Optimization The role of software optimization in hardware performance cannot be overstated. NVIDIA GPUs benefit from a robust ecosystem of open source libraries, such as VLM, which are specifically optimized for their architecture. These libraries enable better compute utilization and practical performance, allowing developers to maximize the potential of their hardware. In contrast, TPUs often face software limitations that restrict their ability to achieve peak performance. This lack of optimization reduces their effectiveness in real-world applications, further tilting the balance in favor of Nvidia GPUs for most AI development scenarios. Accessibility and Deployment Accessibility is another critical factor when choosing AI hardware. Nvidia GPUs are widely available across multiple platforms, including RunPod, AWS, and Azure, offering developers flexibility in deployment. This multi-cloud support ensures that Nvidia GPUs can be integrated into a variety of workflows and environments. On the other hand, TPUs are restricted to Google Cloud, with limited access to higher configurations like V6E-16 or V6E-32. This lack of multi-cloud compatibility makes TPUs less attractive for developers seeking scalable and versatile solutions, further limiting their appeal in competitive AI markets. Future Outlook The future of AI hardware is poised for significant advancements, and Google's upcoming TPU V7E is expected to address some of the limitations of the V6E. Improvements in VRAM capacity and interconnect speeds, coupled with enhanced software optimization, could make TPUs more competitive with NVIDIA GPUs. However, until these advancements materialize, NVIDIA's H100 and H200 GPUs remain the superior choice for most AI workloads. Their combination of high performance, cost-efficiency, and accessibility ensures they continue to lead the market, offering developers reliable and scalable solutions for their AI projects. Media Credit: Trelis Research Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Time of India
13-05-2025
- Time of India
Minister: Goa's tourism model needs relook
Panaji: Amid growing complaints about an oversupply of rooms and increasing competition from other international destinations, tourism minister Rohan Khaunte has called for a comprehensive correction in the state's tourism model. He warned that high hotel tariffs and soaring airfares made Goa an expensive destination, prompting Indian travellers to opt for cheaper international alternatives like Vietnam, Thailand, Sri Lanka and Malaysia. Khaunte told reporters that A and B category hotels were asked to rework their pricing and marketing strategies, with a focus on encouraging monsoon tourism , MICE, and group packages. Highlighting concerns from smaller hoteliers, Khaunte said that C and D category hotels were struggling to survive amid growing competition from unregulated villas, apartments, and gated complexes. 'We will meet with online travel aggregators like Airbnb to examine the inventory of such accommodations. If required, we will review and withdraw permissions for some time to ensure hotels get sufficient business,' he said. The minister also flagged stray dogs, cattle, and errant taxis as chronic issues hurting the tourist experience. 'Sterilisation is not the solution to the dog menace. They need to be removed from the beaches. We will meet with the CM and the animal husbandry department to finalise a plan,' he said. Despite current challenges, Khaunte expressed optimism about the upcoming monsoon season. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like New Container Houses In Phuoc Thanh Container House | Search Ads Search Now Undo He said Goa was expecting a surge in visitors from the Middle East and projected that Russian tourist numbers would double in the coming season. ___________________ Cops intensify patrolling along North Goa coast Calangute: The tourist police unit (TPU) has intensified patrolling along the coast from Baga to Sinquerim after a six-year-old drowned at Baga. The TPU had begun regularly patrolling beaches after violent incidents involving tourists in shacks last Dec. 'A large number of tourists visiting Baga and Calangute continue to enjoy themselves on the beach after sundown (when the lifeguards go off duty). At times, due to the negligence of the parents, the children go into the water to bathe and play, putting their lives at risk,' a TPU staffer said. According to a lifeguard, a major issue arises during peak times as tourists refuse to heed warnings against swimming in 'no-swim zones'. It is dangerous to swim after consuming alcohol, but many tourists go to the sea drunk and endanger, themselves,' said a lifeguard. TNN
Business Wire
08-05-2025
- Entertainment
- Business Wire
Movie director Tetsuichiro Tsuta, a graduate of Tokyo Polytechnic University's Department of Imaging Art, is the first Japanese to win the Hong Kong International Film Festival's top award for his film 'Black Ox'
TOKYO--(BUSINESS WIRE)--The film 'Black Ox,' directed by Tetsuichiro Tsuta, a graduate of the Department of Imaging Art, Faculty of Arts, at Tokyo Polytechnic University (President: Hiroaki Yoshino; Address: Nakano-ku, Tokyo, hereinafter, 'TPU'), won the top prize, the Firebird Award, at the 49th Hong Kong International Film Festival. At the 49th Hong Kong International Film Festival, held from Thursday, April 10, to Monday, April 21, 2025, the film 'Black Ox,' directed by Tetsuichiro Tsuta, a graduate of the Department of Imaging Art, Faculty of Arts, at TPU, was awarded the top prize, the Firebird Award, in the Young Cinema Competition, which is the first in Japanese film history. 'Black Ox' is a film inspired by the 'Ten Ox-Herding Pictures,' depicting the path to enlightenment in Zen Buddhism in ten illustrations, and filmed using 70 mm film for some scenes for the first time in Japanese feature films. The movie also uses the music of composer Ryuichi Sakamoto, who expressed his intent to participate before his passing. The jury reviews this movie: 'This artistic creation, emerging from diverse cultural backgrounds, weaves together unique philosophical and aesthetic perspectives, sharp historical insight, and vivid depictions of nature. It constructs an unexpected and original cinematic world—one that draws the viewer into a specific time and place, yet paradoxically elevates the experience into something universal and transcendent.' Director Tsuta said, 'I believe that my experiences as a student in creating movies using films led to this honor. While the film industry is heavily digital, the essence of movies is now and always has been analog film, and this is not going to change in the future. 'Onko-chishin': learn from the wisdom of the past. I hope you will be able to experience this work, filled with a love for analog film, in a cinema.' 'Black Ox' is scheduled for screening at the Mooov Film Festival in Belgium from Saturday, April 26, to Thursday, May 1, 2025, and at the Jeonju International Film Festival in South Korea from Wednesday, April 30, to Friday, May 9, 2025, and will be released in cinemas nationwide in Japan in January 2026. Tetsuichiro Tsuta Born in Miyoshi, Tokushima Prefecture. Graduated from the Department of Imaging Art, Faculty of Arts, at Tokyo Polytechnic University in 2007. After graduation, he worked on producing films independently while working part-time at the Waseda Shochiku Movie Theater in Takadanobaba. In 2009, his 'Islands of Dreams' was selected for the Pia Film Festival and received the Audience Award. In 2013, his 'The Tale of Iya' was awarded a Special Mention at the 26th Tokyo International Film Festival. His latest, 'Black Ox,' is due for nationwide release in January 2026. Tokyo Polytechnic University TPU's origin dates back to the founding of the Konishi Professional School of Photography in 1923. From its start, it has offered an education that fuses technology and art, and in 2023, TPU celebrated its centenary. It has two faculties: the Faculty of Engineering, in Atsugi, Kanagawa Prefecture (Information Technology Course, Mechanical Engineering Course, Electrical and Electronics Course, Architecture Course), and the Faculty of Arts in Nakano-ku, Tokyo (Departments of Photography, Imaging Art, Design, Interactive Media, Animation, Manga, and Games). URL
Yahoo
07-05-2025
- Automotive
- Yahoo
Over 17,000 customers near Tacoma's South End without power Wednesday
Thousands of people near Tacoma are without power Wednesday afternoon after a car struck a utility pole. About 10,542 customers near the Midland and Summit area are affected, according to Tacoma Public Utilities outage map. TPU is aware of the outage and crews are in the process of working to restore power, according to an X post. The outage has also affected around 7,400 customers near the Lakewood area, according to Lakeview Light & Power's map. The company said that power will be restored in about an hour. 'The outage has been traced to a Tacoma Power distribution line serving Lakeview,' the post said. Franklin Pierce schools posted on Facebook that it is experiencing power, internet and phone issues at schools north of state Route 512. Parents can call 253-281-0516 if they need to get in touch with their child's school, the post said. This is a developing story, check back for updates.
