Cloud & Infra
Cloud & Infra
Cloud & Infra
AI Integration
AI Integration
AI Integration
AGAILE - Scaling AI Infrastructure for Enterprise Adoption
Year
2024
Client
AGAILE Inc.
Timeframe
2 Months
AGAILE Inc. sought to revolutionize AI application deployment by streamlining cloud infrastructure and automating CI/CD workflows. The company needed a robust, scalable approach to manage AI-driven workloads efficiently.
AGAILE Inc. sought to revolutionize AI application deployment by streamlining cloud infrastructure and automating CI/CD workflows. The company needed a robust, scalable approach to manage AI-driven workloads efficiently.
AGAILE Inc. sought to revolutionize AI application deployment by streamlining cloud infrastructure and automating CI/CD workflows. The company needed a robust, scalable approach to manage AI-driven workloads efficiently.
The challenge
AGAILE Inc., a Delaware-based AI startup, needed a robust cloud deployment pipeline to streamline AI application deployment. The challenge was ensuring seamless integration between cloud services, CI/CD workflows, and AI-driven applications while maintaining scalability and cost efficiency.
AGAILE Inc., a Delaware-based AI startup, needed a robust cloud deployment pipeline to streamline AI application deployment. The challenge was ensuring seamless integration between cloud services, CI/CD workflows, and AI-driven applications while maintaining scalability and cost efficiency.
AGAILE Inc., a Delaware-based AI startup, needed a robust cloud deployment pipeline to streamline AI application deployment. The challenge was ensuring seamless integration between cloud services, CI/CD workflows, and AI-driven applications while maintaining scalability and cost efficiency.
The solution
Pranav Dhoolia led the development of AGAILE’s Core AI Platform (CAP), designing Terraform scripts to provision essential AWS cloud infrastructure. He implemented CI/CD pipelines via GitHub Actions to automate container builds and deployments. His work enabled AGAILE to deliver AI solutions efficiently, reducing deployment time and operational overhead.
Pranav Dhoolia led the development of AGAILE’s Core AI Platform (CAP), designing Terraform scripts to provision essential AWS cloud infrastructure. He implemented CI/CD pipelines via GitHub Actions to automate container builds and deployments. His work enabled AGAILE to deliver AI solutions efficiently, reducing deployment time and operational overhead.
Pranav Dhoolia led the development of AGAILE’s Core AI Platform (CAP), designing Terraform scripts to provision essential AWS cloud infrastructure. He implemented CI/CD pipelines via GitHub Actions to automate container builds and deployments. His work enabled AGAILE to deliver AI solutions efficiently, reducing deployment time and operational overhead.
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