Alphabet


2024-07-30

[News] Amazon Unveiled the Latest AI Chip, Performance up by 50%

According to Reuters, engineers at Amazon’s chip lab in Austin, Texas, recently tested highly confidential new servers. Per the Economic Times, the director of engineering at Amazon’s Annapurna Labs under AWS Rami Sinno revealed that these new servers feature Amazon’s AI chips, which can compete with NVIDIA’s chips.

It’s reported that Amazon is developing processors to reduce reliance on the costly NVIDIA chips, which will power some of Amazon’s AWS AI cloud services.

Amazon expects to use its self-developed chips to enable customers to perform complex calculations and process large amounts of data at a lower cost. The company’s competitors, Microsoft and Alphabet, are also pursuing similar efforts.

However, Amazon is a late starter in AI chip field, but a industrial leader in non-AI processing chip, whose main non-AI processing chip, Graviton, has been in development for nearly a decade and is now in its fourth generation. The other two AI chips, Trainium and Inferentia, are newer designs.

David Brown, AWS’s Vice President of Compute and Networking, stated that in some cases, the performance of these chips can be 40% to 50% higher compared to NVIDIA’s, and their cost is supposed to be about half of the same models of NVIDIA’s chips.

AWS accounts for nearly 20% of Amazon’s total revenue. The company’s revenue from January to March surged by 17% from the same period last year, reaching USD 25 billion. AWS controls about one-third of the cloud computing market, with Microsoft’s Azure comprising about 25%.

Amazon stated that it deployed 250,000 Graviton chips and 80,000 custom AI chips to handle the surge in platform activity during the recent Prime Day.

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(Photo credit: Amazon)

Please note that this article cites information from Economic Daily and WeChat account DRAMeXchange.

2024-05-31

[News] Google to Invest USD 2 Billion in Malaysia, Focusing on Data Centers and AI

According to a report from Wall Street Journal, Alphabet CFO Ruth Porat announced in a statement on May 30 that Google has committed to investing USD 2 billion in Malaysia. The investment includes building its first data center, expanding Google Cloud, and further developing artificial intelligence (AI).

Porat highlighted that this will be Google’s largest investment project in Malaysia. Google estimates that this investment will contribute over USD 3.2 billion to Malaysia’s GDP and create 26,500 jobs by 2030.

As per a report from Bloomberg, Google stated that in addition to developing cloud computing services, it will also support AI literacy programs for students and educators.

In its earnings call in April, Porat mentioned that the significant year-over-year increase in capital expenditures over recent quarters reflects Alphabet’s confidence in the potential of AI. She projected that the quarterly capital expenditures for the second to fourth quarters of this year would be comparable to or slightly higher than those in the first quarter.

On May 2, Microsoft Corp. announced that it will invest USD 2.2 billion in Malaysia over the next four years to support the country’s digital transformation. The investment projects include developing digital infrastructure, creating AI skill opportunities, establishing a National AI Excellence Center, and enhancing Malaysia’s cybersecurity capabilities.

Earlier this week, Malaysian Prime Minister Anwar Ibrahim announced the National Semiconductor Strategy, which includes providing at least USD 5.3 billion in financial support and training 60,000 semiconductor engineers, aiming to make Malaysia a global chip hub.

Amidst the U.S.-China rivalry and other geopolitical tensions, global companies are seeking to diversify their supply chains. Facing competition between the U.S. and China, Malaysia is reportedly keen to maintain a neutral position in the semiconductor supply chain landscape. According to the Malaysian Investment Development Authority (MIDA), the country currently provides 13% of global testing and packaging.

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(Photo credit: Google)

Please note that this article cites information from Wall Street JournalBloombergAlphabet and Microsoft .

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