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Amazon racing to develop AI chips cheaper, faster than Nvidia's, executives say

Economic Times

Economic Times · 1y ago

Amazon racing to develop AI chips cheaper, faster than Nvidia's, executives say

Amazon is developing its own chips to reduce its reliance on Nvidia and offer cheaper alternatives for customers. The company's AI chips, Trainium and Inferentia, aim to make computing complex calculations and handling large amounts of data more affordable. David Brown, Vice President at Amazon Web Services (AWS), stated that the chips offer up to a 40-50% improvement in price and performance compared to Nvidia. AWS saw a 17% surge in sales to $25 billion in Q1, with Amazon using its chips during Prime Day to handle increased activity.

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Exclusive: Nvidia CEO says his AI chips are improving faster than Moore's Law

TechCrunch · 7m ago

Exclusive: Nvidia CEO says his AI chips are improving faster than Moore's Law

Nvidia CEO Jensen Huang claims the company's AI chips are advancing faster than Moore’s Law, which historically predicted transistor doubling every two years. Nvidia's latest chips are reportedly over 30 times faster than previous generations, driven by simultaneous innovations in architecture, chips, systems, libraries, and algorithms. As AI demands increase, Huang emphasizes creating high-performance chips to reduce costs, citing a trend of decreasing AI model prices due to Nvidia's breakthroughs, and foreseeing continued advancements in AI reasoning models.

Amazon, Databricks strike five-year deal around AI chips

Livemint

Livemint · 9m ago

Amazon, Databricks strike five-year deal around AI chips

Amazon and startup Databricks have formed a five-year deal aimed at reducing costs for businesses looking to build their own AI capabilities. Under the agreement, Databricks will utilize Amazon's Trainium AI chips to power services that enable companies to customize or build their own AI models. The deal signifies Amazon's positioning as a neutral provider of AI technology, while Databricks aims to leverage Amazon's AI chips to offer faster and cheaper AI capabilities to businesses. The financial terms of the agreement were not disclosed.

As AI matures, chip industry will look beyond GPUs, AMD chief says

Livemint

Livemint · 10m ago

As AI matures, chip industry will look beyond GPUs, AMD chief says

The future of computer chips for artificial intelligence (AI) may require a slowdown in the rapid pace of change in AI technology. Graphics processing units (GPUs) have been the go-to choice for training and running AI models, but as the industry moves towards standardized model designs, there is an opportunity to develop custom chips that are more energy-efficient, smaller, and cheaper. Companies like Amazon and Google have already developed their own custom AI chips, and while there are challenges in terms of flexibility and interoperability, a combination of different types of chips will likely be used in future AI models.

Samsung's 8-layer HBM3E chips clear Nvidia's tests for use, sources say

Economic Times

Economic Times · 1y ago

Samsung's 8-layer HBM3E chips clear Nvidia's tests for use, sources say

Samsung Electronics' HBM3E memory chips have passed Nvidia's tests and are approved for use in the company's artificial intelligence (AI) processors. This is a significant milestone for Samsung, as it has been trying to catch up with its local competitor, SK Hynix, in supplying advanced memory chips for AI applications. The approval is for the eight-layer HBM3E chips, with the supply deal expected to be signed soon and production beginning in the fourth quarter of 2024. However, Samsung's 12-layer version of HBM3E has not yet passed Nvidia's tests.

Foxconn, Nvidia say they are building AI factories together

Economic Times

Economic Times · 1y ago

Foxconn, Nvidia say they are building AI factories together

Foxconn and Nvidia are partnering to build AI factories. They aim to leverage Nvidia's AI technology and Foxconn's manufacturing expertise to develop AI-powered devices. The collaboration is expected to revolutionize various industries, including healthcare, retail, and transportation.

Nvidia’s business is booming. Here’s what could slow it down.

Livemint

Livemint · 1y ago

Nvidia’s business is booming. Here’s what could slow it down.

Nvidia's sales and earnings continue to soar, but challenges to their position at the forefront of the AI market are emerging. Rivals and customers are developing chips to compete with Nvidia, and AI companies are seeking more efficient models that don't require Nvidia chips. Despite these challenges, Nvidia's CEO, Jensen Huang, sees opportunities for growth by expanding the company's role into crafting data centers. Nvidia also faces competition from big tech companies like Amazon, Google, Microsoft, and Meta Platforms, which are designing their own chips. However, Nvidia plans to release new generations of advanced AI chips to maintain its dominance in the market.

Nvidia’s CEO was the man of this year, next year, and the one after that

Gizmodo

Gizmodo · 1y ago

Nvidia’s CEO was the man of this year, next year, and the one after that

Nvidia CEO Jensen Huang has become a prominent figure in Silicon Valley, gaining attention from tech giants like Microsoft, Google, and Amazon who rely on Nvidia's GPUs for their AI initiatives. Huang's vision and leadership have positioned Nvidia as the dominant player in the AI chip market, with over 80% market share. While competitors have announced their own AI chips, they are still far behind Nvidia's GPUs, and the company is expected to maintain its stronghold in the market. Huang foresees a new era of computing and is investing in cloud products to complement Nvidia's AI chips.

New Developments in AI: The Rising Demand for Custom Chips in the Generative AI Field

Robots · 1y ago

New Developments in AI: The Rising Demand for Custom Chips in the Generative AI Field

The demand for custom AI chips is growing due to a hardware shortage caused by the rise in generative AI. Startups like d-Matrix offer cost-effective alternatives to GPU-based solutions, potentially leveling the playing field for smaller companies in the AI industry. Major players like Microsoft, Amazon, and Meta are also investing in their own in-house AI chips for inferencing. Additionally, AI is making progress in fields like drone racing, scent quantification, wildlife tracking, healthcare, and language models, showcasing its diverse applications across industries.

Lambda secures $500 million loan with Nvidia chips as collateral

Economic Times

Economic Times · 1y ago

Lambda secures $500 million loan with Nvidia chips as collateral

Cloud provider Lambda has secured a $500 million loan from lenders, including Macquarie Group, using Nvidia's high-demand chips as collateral. The funds will be used to scale Lambda's GPU Cloud and purchase Nvidia's H200 and Blackwell AI chips. Startups in the AI market have been attracting private investors as they seek to develop generative AI offerings. The loan, structured as an asset-based financing vehicle, is secured by GPUs and supported by their cash flow generation. Industrial Development Funding and US Innovative Technology are also involved in the loan agreement.

Intel’s “Gaudi 3” AI accelerator chip may give Nvidia’s H100 a run for its money

Arstechnica

Arstechnica · 1y ago

Intel’s “Gaudi 3” AI accelerator chip may give Nvidia’s H100 a run for its money

Intel has introduced a new AI accelerator chip called Gaudi 3 to compete with Nvidia's H100. The Gaudi 3 chip is claimed to deliver 50% faster training time and 50% faster inference performance than the H100 for popular AI models. Intel is targeting Nvidia's high market share due to the supply issues with the H100. The Gaudi 3 chip offers improved AI compute performance, power efficiency, and lower pricing compared to its predecessor, Gaudi 2. The chip is manufactured using TSMC's N5 process technology. The performance comparison with Nvidia's upcoming Blackwell chip is yet to be determined.

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