Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
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This is a repackaged open source software product wherein additional charges apply for support provided by Galaxys Debian 12 is a user-friendly and preconfigured Linux distribution, offering a seamless experience for both novice and experienced users. With an intuitive setup, it provides a reliable and accessible platform for diverse computing needs.
Pre-configured AMI with complete Deep Learning stack: Tesla T4 GPU, CUDA 13.0, PyTorch, TensorFlow, Jupyter Lab. Environment ready in 2 minutes for AI/ML projects. Product wherein additional charges apply for support provided by Galaxys.
Pre-configured Enterprise Elasticsearch Optimized for AWS - Complete search and analytics solution with automated setup, enhanced security, and cloud-optimized performance.
Pre-configured Amazon Machine Image with PyTorch 2.1 and CUDA 12.1 for accelerated deep learning. This production-ready environment eliminates complex setup processes, saving 4+ hours of configuration time. Includes full GPU optimization for NVIDIA hardware, essential ML libraries, and security configurations out-of-the-box. This product wherein additional charges apply for support provided by Galaxys. Ideal for researchers, data scientists, and developers working on computer vision, natural language processing, and neural network projects. Features automatic environment setup, Jupyter Lab integration, and optimized performance for AWS EC2 instances.
Fast.ai on AWS Marketplace: Complete Deep Learning Environment for Beginners. Pre-installed PyTorch 2.9.1 Fast.ai 2.8.5 on Ubuntu 22.04. Start training AI models in 5 minutes with our simplified setup. Perfect for students, developers, and researchers beginning their ML journey. Includes Jupyter Lab, example notebooks, and AWS optimization guides. Works on CPU instances for learning, ready for GPU acceleration when needed. Step-by-step tutorials for image classification, NLP, and tabular data projects. All dependencies pre-configured in isolated environment. Reduce setup time from days to minutes. Deploy, train, and experiment with deep learning immediately. AWS-specific guidance for cost optimization and performance tuning. Everything you need to go from zero to production-ready models.
PyTorch Lightning + MLflow - MLOps Ready provides a complete machine learning operations environment pre-configured for AWS instances. This solution includes PyTorch Lightning for organized deep learning workflows and MLflow for comprehensive experiment tracking and model management.
