[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.

Read more

• [News] TSMC Reportedly Sees Strong 4nm Demand, with NVIDIA’s Order Up by 25%
• [News] Amazon Unveils New AWS-Designed Chips, Boosting Orders for TSMC and ALCHIP

(Photo credit: Amazon)