Customer Stories / Media & Entertainment
Alethea AI Leverages AWS to Scale Its Infrastructure for 30 Million Visitors
Alethea AI is a research and development studio for generative AI. Headquartered in Singapore with its AI R&D office in Lahore, Pakistan, Alethea AI has developed a multimodal AI system called CharacterGPT, empowering anybody to create and own their AI character with agency.
The startup leveraged AWS to scale and fortify its infrastructure, using an optimal combination of GPU and compute resources to build out their architecture, thereby enabling it to handle up to 30 million API calls in the first few months of its launch.
Alethea AI plan to leverage Amazon SageMaker for enhanced AI training, and generative AI-specific services like Amazon Bedrock and SageMaker Jumpstart to experiment with open-source foundation models.
AWS has fueled Dynamic scaling, robust storage, and agile databases. It has really been a platform that has turbocharged our development and fortified our infrastructure, creating a standard for our growth. We are really excited to venture deeper into this partnership with AWS as we use their services and infrastructure for our growth..”
Arif Khan
Founder and CEO, Alethea AI
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AWS Services Used
Amazon SageMaker
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.
Amazon EC2
Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 600 instances and choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload.
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Amazon ECS Anywhere
Amazon Elastic Container Service (ECS) Anywhere is a feature of Amazon ECS that lets you run and manage container workloads on your infrastructure. This feature helps you meet compliance requirements and scale your business without sacrificing your on-premises investments.
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