AI development by providing a ready-to-use scalable, and high-performance

The Entexa AI DevStack AMI simplifies AI development by providing a ready-to-use, scalable, and high-performance environment built for modern machine learning and LLM workflows.

01

Preloaded Frameworks

Includes PyTorch, TensorFlow, Hugging Face, and LangChain so developers can start building without setup delays.

02

Built-In Vector Database

Supports semantic search, retrieval-augmented generation (RAG), and advanced LLM pipelines without extra configuration.

03

Plug-and-Play Setup

Eliminate the hassle of configuring dependencies your environment is ready the moment you launch.

04

AWS-Powered Scalability

Seamlessly scale from small experiments to GPU-accelerated production workloads with consistent performance.

05

Optimized for AI Teams

Enables data scientists, researchers, and developers to focus on innovation instead of troubleshooting environments.

06

Enterprise-Ready Foundation

Accelerates prototyping, research, and deployment of AI-driven products with secure, reliable cloud infrastructure.

Why Choose
Entexa AI DevStack AMI?

  • Save days of setup time with a fully configured environment.

  • Reduce friction in testing, iteration, and scaling AI projects.

Why Entexa AI DevStack AMI Stands Out

  • Speed up time-to-market for AI-powered products.

  • Empower teams to innovate confidently with reliable performance.

What’s Inside the AI DevStack AMI?

Benefits for Teams and Businesses

Industry-Leading Frameworks Preloaded

Work with today’s most powerful AI frameworks PyTorch, TensorFlow, Hugging Face, and LangChain ready out-of-the-box.

Optimized Cloud Environment

Built on AWS, ensuring seamless scalability from lightweight testing environments to GPU-accelerated production systems.

Accelerated Prototyping

Move from idea to prototype in hours instead of weeks. Perfect for hackathons, research projects, and fast-paced AI innovation.

Enterprise-Grade Reliability

A secure, cloud-optimized environment ensures consistency across experiments, development, and deployment stages.

Why Entexa A – I DevStack AMI?

Traditional AI setup takes days sometimes weeks of installing libraries, troubleshooting drivers, and configuring dependencies. With Entexa, that complexity disappears. The AI DevStack AMI gives you a production-ready foundation the moment it boots up, so you can:

  • Cut setup time by 90%

  • Ensure consistency across teams

  • Leverage the full power of AWS infrastructure

  • Build, test, and deploy faster than ever

“The Entexa AI DevStack AMI saved our team countless hours. Instead of wasting time on setup and troubleshooting, we were able to launch a fully functional environment within minutes. Having PyTorch, TensorFlow, and Hugging Face preloaded made prototyping new ideas incredibly fast. This has completely streamlined our AI development workflow.”

Dr. Maya Patel

“Scaling AI projects used to be a bottleneck for us, but Entexa’s DevStack AMI made it effortless. The integrated vector database and seamless AWS scaling gave us the flexibility to move from research to production without downtime. It feels like having an enterprise-grade AI platform right out of the box.”

James Walker

Powered by AWS for Performance and Scale

The Entexa AI DevStack AMI is built on top of Amazon Web Services (AWS), giving you the flexibility, security, and scalability needed for modern AI workloads. Whether you’re running small experiments or deploying enterprise-grade applications

Who Can Benefit?

Developers & ML Engineers

Instantly start coding with the most widely used AI tools already in place.

Data Science Teams

Run experiments, train models, and test workflows without environment-related delays.

Enterprises

Accelerate R&D cycles, optimize resource usage, and ensure smooth scaling to production.

Researchers & Innovators

Focus on pushing boundaries in AI without worrying about technical setup.

We are a software development company providing innovative, scalable and secure digital solutions. We collaborate with organizations to turn ideas into outcomes, motivated by quality, agility and customer success.

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