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.
Includes PyTorch, TensorFlow, Hugging Face, and LangChain so developers can start building without setup delays.
Supports semantic search, retrieval-augmented generation (RAG), and advanced LLM pipelines without extra configuration.
Eliminate the hassle of configuring dependencies your environment is ready the moment you launch.
Seamlessly scale from small experiments to GPU-accelerated production workloads with consistent performance.
Enables data scientists, researchers, and developers to focus on innovation instead of troubleshooting environments.
Accelerates prototyping, research, and deployment of AI-driven products with secure, reliable cloud infrastructure.
Save days of setup time with a fully configured environment.
Reduce friction in testing, iteration, and scaling AI projects.
Speed up time-to-market for AI-powered products.
Empower teams to innovate confidently with reliable performance.
Work with today’s most powerful AI frameworks PyTorch, TensorFlow, Hugging Face, and LangChain ready out-of-the-box.
Built on AWS, ensuring seamless scalability from lightweight testing environments to GPU-accelerated production systems.
Move from idea to prototype in hours instead of weeks. Perfect for hackathons, research projects, and fast-paced AI innovation.
A secure, cloud-optimized environment ensures consistency across experiments, development, and deployment stages.
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
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
Instantly start coding with the most widely used AI tools already in place.
Run experiments, train models, and test workflows without environment-related delays.
Accelerate R&D cycles, optimize resource usage, and ensure smooth scaling to production.
Focus on pushing boundaries in AI without worrying about technical setup.