Amazon Web Services to invest $100 million in generative AI centre
To keep up with its competitors Amazon Web Services is going to invest $100 million in a generative artificial intelligence centre.
artificial intelligence
Highlights
- The firm believes focusing on customers and meeting their needs will drive success
- AWS CEO compared the current state of generative AI to a 10K race
- AWS to hire data scientists, engineers, and solutions architects
Headquartered in Seattle, Amazon Web Services (AWS) is reportedly working on building a $100 million generative AI centre to catch up with tech giants like Google & Microsoft in the market for generative AI. The firm (AWS) has announced plans to invest $100 million in a program aimed at assisting companies in utilising generative artificial intelligence (AI).
This move highlights the firm’s recognition of the current significance of generative AI and the need to be at the forefront of the conversation, alongside competitors like Microsoft and Google.
We continue to hear from companies around the world looking for help realizing the promise of generative #AI. That’s why I’m pleased to announce a $100M investment in our new @awscloud Generative AI Innovation Center, where our experts will work with customers to build unique…
— Adam Selipsky (@aselipsky) June 22, 2023
The investment, although small for a company with such substantial cash reserves, showcases AWS's commitment to this emerging technology. AWS CEO Adam Selipsky compared the current state of generative AI to a 10K (10 kilometers) race, emphasising that being three steps into the race matters more than the initial lead.
As part of this initiative, AWS will hire data scientists, engineers, and solutions architects. The program has partnered with Highspot, Twilio, RyanAir, and Lonely Planet. Although AWS is the dominant force in the cloud infrastructure market, Microsoft and Google have made notable progress in the field of generative AI.
AWS CEO confident in providing reliable AI
However, Selipsky remains relaxed, stating that Amazon has a history of listening to its customers and building what they want. He believes that focusing on customers and meeting their needs will drive success, even if external perceptions of the company may differ.
The company CEO quoted:
“Amazon has had many examples in its history where it said, we’re going to focus on customers and have a steadfast belief that we’re going to work with customers, we’re going to build what they want,” Selipsky said. “And if people want to perceive us in a certain way, we’re misunderstood, that’s OK, as long as customers understand where we’re going.”
One challenge AWS faces is meeting the demand for AI chips. While the company has started building its own chips to supplement Nvidia's graphics processing units (GPUs), both companies are racing to increase supply. Selipsky acknowledges the global shortage of computing capacity for generative AI and expects the situation to improve in the coming months.
The CEO emphasises that AI is a real and significant trend, particularly for AWS's, recently debuted Bedrock generative AI service platform, Titan models, and the new innovation center. He believes that AI will be the next wave of innovation in the cloud, driving more customers to adopt cloud services.
Selipsky sees AWS as providing reliability in offering generative AI, as it addresses enterprise security concerns that have led some Fortune 500 companies (largest 500 companies in the US) to ban specific AI models like ChatGPT in their organisations.
Companies rush to develop generative AI
Amidst the growing excitement surrounding generative AI, competition among companies has surged to develop and implement this technology into their services. Apart from AWS, several companies are using generative AI in their cloud services.
Google Cloud offers Cloud AI Platform and AutoML for developing and deploying generative models.
Microsoft Azure provides Azure Cognitive Services and Azure Machine Learning for image analysis, language understanding, and model deployment.
IBM Cloud offers Watson Studio for building generative models, while NVIDIA's NGC platform provides deep learning frameworks and pre-trained models.
These companies are leveraging generative AI to empower developers with tools for image analysis, natural language processing, and model training, facilitating innovative applications in various domains.
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