there's something about jimmy and martyn this season
four times over jimmy has walked the well-worn path into the realm of death all alone, his feet sinking in the inky, star-speckled puddles of the void and his hand shaking on the icy doorknob of After. and the familiarity— and oh, is it so familiar— never manages to suffocate the dread each and every time. the knowledge that this door, these wings, those eyes are all horrifyingly inevitable, following him, miraculously, across worlds.
until now. he steps in the pond of the void and there's a warm hand in his, so warm jimmy knows it to be unwelcome in this place. no one has ever been here with him before, and never in his endless lives and deaths has he ever been left staring wide-eyed at theback of someone's head, the back of martyn's head.
and martyn leads the way. there are no words— there never have been in this place— but his hand is firm and real in jimmy's. he walks confidently, the soles of his shoes marring the ground he walks across with ripples that never stop. and this time, martyn reaches out, and swings that haunting door wide open, ceasing its endless whispers all at once.
when martyn turns around, his eyes lock with jimmy's, and he doesn't speak— no one can, here, jimmy is sure of it— but he might as well, really. his eyes are tired, but they are certain. martyn says nothing, but jimmy hears him. of course he does.
follow me this time, would you?
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The Power of Serverless Computing: Practical Examples and Benefits
Discover the power of #ServerlessComputing, from cost efficiency to real-time analytics, with practical examples in this insightful article! Say goodbye to server maintenance and hello to #FaaS innovation. #CloudComputing #TechTrends
Serverless computing has revolutionized the way developers build and deploy applications. It offers a cost-effective and efficient alternative to traditional server-based architectures, providing businesses with the flexibility to focus on code and functionality rather than managing infrastructure. In this article, we will explore the concept of serverless computing, its advantages, and provide…
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Choosing the Best Data Science Course in Mumbai
Are you looking to enhance your skills and knowledge in the field of data science? Mumbai, with its booming technology industry, is the perfect place to start but with numerous options available, it can be overwhelming to choose the best data science course in Mumbai In this comprehensive guide, we will help you navigate through the various training programs and certifications available for data science in Mumbai.
When it comes to data analytics training in Mumbai, there are many institutes that offer courses varying from short-term workshops to full-fledged degree programs It is important to do thorough research and understand your specific learning goals before making a decision Some popular options.
Data science has become an essential skill across various industries such as finance, healthcare, retail, and more Thus, choosing a reputed institute for your data science course in Mumbai is crucial for building a successful career in this field Look for institutes that have experienced faculty members with practical experience in the industry and have tie-ups with top companies for placements or internships opportunities.
If you are specifically interested in big data training in Mumbai then focus on finding an institute that offers specialized courses on topics like Hadoop ecosystem or Spark programming language These skills are highly sought after by employers as big data continues to grow exponentially Additionally, look out for institutes that provide hands-on experience through projects based on real-world scenarios.
In today's competitive job market having a certification can give you an edge over other candidates when applying for jobs related to data science Data Science Certification offered by institutes like Simplilearn or Edureka not only provide recognition but also validate your knowledge and skills which can boost your chances of landing a desirable job opportunity.
In conclusion, choosing the best data science course in Mumbai involves assessing your learning goals and researching various institutes to find the one that aligns with your career aspirations Consider factors like faculty experience, industry tie-ups, hands-on learning opportunities and certifications before making a decision with the right training program in place, you can acquire the necessary skills to excel in this rapidly growing field of data science.
Lastly, as artificial intelligence continues to revolutionize industries, it is essential for individuals aiming for a career in data analytics to stay updated on AI advancements Thus, enrolling in an Artificial Intelligence Training program in Mumbai can provide individuals with the necessary skills required for understanding and modelling complex data sets while leveraging AI algorithms With this training, participants can learn about neural networks, deep learning techniques, natural language processing. If you are looking to unlock the world of big data and carve a successful career path in analytics - Mumbai offers several top-notch training programs designed specifically for your needs These courses not only provide you with the right technical knowledge but also equip you with real-world experience and soft skills crucial for excelling in today's competitive job market So don't wait any longer – enroll yourself now!
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Amazon strives to outpace Nvidia with cheaper, faster AI chips
New Post has been published on https://thedigitalinsider.com/amazon-strives-to-outpace-nvidia-with-cheaper-faster-ai-chips/
Amazon strives to outpace Nvidia with cheaper, faster AI chips
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Amazon’s chip lab is churning out a constant stream of innovation in Austin, Texas. A new server design was put through its paces by a group of devoted engineers on July 26th.
During a visit to the facility in Austin, Amazon executive Rami Sinno shed light on the server’s use of Amazon’s AI chips. This development is a bold step toward competing with Nvidia, the current leader in the field.
The main reason Amazon is developing its own processor is this: it doesn’t want to rely on Nvidia and buy the company’s chips. The expensive Nvidia chips power a big part of the AI cloud business at Amazon Web Services. This business is the most significant growth engine of the company. Thus, the so-called “Nvidia tax” was pushing the company to look for a cheaper option.
Amazon’s chip development program has a dual purpose. Firstly, the project is meant to provide customers with more affordable opportunities for complex calculations and large data volume processing. Secondly, the initiative was developed to preserve Amazon’s competitiveness in the volatile cloud computing and AI industry. This move was also supported by the directions of tech giants such as Microsoft and Alphabet, which are developing custom-made chips to maintain their leadership in the market.
Rami Sinno, director of engineering for Amazon’s Annapurna Labs, a key element of the AWS ecosystem, emphasised that customer demand for more economical solutions to Nvidia’s products is growing. The acquisition of Annapurna Labs in 2015 was a savvy move by Amazon as it enabled the company to lay the groundwork to begin developing popular chips.
Although Amazon’s chips for AI are in their early days, the company has been making and refining chips for other mainstream applications for nearly a decade, most notably its general-purpose chip, Graviton, which is now in its fourth generation. Amazon has announced that its Trainium and Inferentia chips, the company’s latest and strongest, are still in their early days and are specially designed processors.
The impact is potentially huge because the impressive performance underscores the reports by David Brown, vice president of compute and networking at AWS. In this light, it should be acknowledged that Amazon’s in-house chips could deliver up to a 40-50% price-performance ratio improvement compared to Nvidia-based solutions. In turn, this potential improvement could mean considerable savings for AWS clientele deploying their AI workloads.
AWS’ significance to Amazon’s overall business cannot be underestimated. In the first quarter of this year, AWS made up a little under a fifth of Amazon’s total revenue, as its sales soared by 17 per cent year over year to reach $25 billion. At the moment, AWS holds about a third of the global cloud computing market, and Microsoft’s Azure covers about a quarter, or 25%.
Amazon’s commitment to its custom chip strategy was demonstrated during the recent Prime Day, a two-day sales event at Amazon.com. To handle the highly elevated level of shopping as well as streaming video, music, and other content, Amazon deployed an impressive 250,000 Graviton chips and 80,000 of its custom AI chips across its platforms. Adobe Analytics announced record Prime Day results of $14.2 billion in sales.
It seems that as Amazon intensifies its work on the development of AI chips, the industry leader, Nvidia, is not going to remain at the same level. Nvidia’s CEO, Jensen Huang, has presented Nvidia’s latest Blackwell chips, which are scheduled for release later in the year. Their performance has increased significantly, and Huang promised that the new chips are twice as powerful for AI model training and five times faster for inference.
Nvidia’s dominant position in the AI chip market is underscored by its impressive client list, which includes tech giants like Amazon, Google, Microsoft, OpenAI, and Meta. The company’s focus on AI has propelled its market value to a staggering $2 trillion, making it the third most valuable company globally, behind only Microsoft and Apple.
As the AI chip race intensifies, Nvidia is also diversifying its offerings. The company has introduced new software tools to facilitate AI integration across various industries and is developing specialised chips for emerging applications such as in-car chatbots and humanoid robots.
(Image by Gerd Altmann)
See also: Nvidia: World’s most valuable company under French antitrust fire
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
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Tags: ai, Amazon, Nvidia, processors
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