On Tuesday, AWS CEO Adam Selipsky unveiled a plethora of new products, one of which was a custom chip designed for generative AI (Artificial Intelligence) and ML (Machine Learning) training, which aims to promote the broad use of GenAI across businesses of all kinds. According to Selipsky, 80 percent of unicorn companies—those valued at $1 billion or more—across the globe depend on their cloud services, and the innovation that GenAI is fostering will eventually spread to organizations of all sizes. For more than 25 years, the cloud giant has been fully engaged in the development of AI and ML.
Selipsky highlighted AWS as the global innovators’ driving force during the keynote address at the annual’re:Invent’ conference. AWS serves a wide range of businesses, including major financial service providers and automotive titans.
“GenAI continues to make innovative strides. All businesses are experimenting with GenAI at this early level, using large language models (LLMs) to pioneer early use cases. He told the riveted crowd, “We’re presenting an enterprise-ready generative AI stack.”
Selipsky unveiled the most recent iteration of two AWS-developed chips, AWS Graviton4 and AWS Trainium2, which are designed to support a broad range of client workloads, including generative AI and machine learning (ML) training.
With up to 30% more computational power, 50% more cores, and 75% more memory bandwidth than the Graviton3 processors available today, Graviton4 ensures the best possible balance between cost and energy efficiency for a wide range of workloads executed on Amazon EC2.
As of right now, AWS has produced over 2 million Graviton processors, offers over 150 different Graviton-powered Amazon EC2 instance types at scale globally, and serves over 50,000 customers—including the top 100 EC2 customers—who use Graviton-based instances for optimal price performance in their applications.
At the function, the business presented three cutting-edge serverless developments for its analytics and database portfolio, simplifying the scalability of clients’ data infrastructure to meet even the most demanding use cases.
These serverless innovations “enhance the groundwork, simplifying customers’ scalability to millions of transactions per second, rapid capacity augmentation, and dynamic workload pattern adaptation for performance and cost optimization,” as highlighted by Dr. Swami Sivasubramanian, Vice President of Data and Artificial Intelligence at AWS.
Additionally, a new identity service that uses palm scanning was unveiled, allowing businesses to verify people as they physically enter their buildings. Dubbed ‘Amazon One Enterprise,’ this technology eliminates the operational headaches associated with conventional enterprise identification techniques, such PINs and badges, as demonstrated at the ‘AWS re:Invent 2023’ event.
Utilizing cutting-edge AI and ML, the palm recognition system creates a palm signature that is connected to identity credentials such as PINs, employee IDs, or badges.
“Amazon One Enterprise’s palm recognition technology aims to deliver a highly precise identification service, heightening an organisation’s overall security while streamlining authentication management with reduced operational overhead,” stated Dilip Kumar, Vice President of AWS Applications. Additionally, Amazon unveiled new $195 devices that let business users access online virtual desktop environments, such as Amazon WorkSpaces, contained in Fire TV Cube hardware.
