Transform Research Computing
Deploy complex research environments in minutes, not days. Pre-configured domain packs make cloud research computing accessible to everyone.
Ready-to-use research environments with optimized software stacks. Complete genomics (GATK, BWA, STAR), climate modeling (WRF, CESM), ML/AI (PyTorch, TensorFlow) setups.
Deploy research environments through a beautiful web interface. No command line required - just point, click, and start researching.
Specialized compute environments optimized for research workflows. HPC instances with EFA networking, GPU clusters for ML, memory-optimized instances for genomics.
Intelligent instance selection and automatic scaling to minimize AWS costs. Spot instances, right-sizing recommendations, and budget monitoring built-in.
Optimized data movement to support workloads. Automatic data staging, intelligent transfer optimization, and seamless AWS Open Data integration.
Security, compliance, and audit capabilities built-in. Integrates with institutional AWS accounts, VPCs, and security policies seamlessly.
27 pre-configured research environments optimized for every field
GATK variant calling, RNA-seq analysis, genome assembly with BWA, STAR, Canu, and Bioconductor
Brain imaging analysis, neural network modeling, and computational neuroscience tools
Ocean data analysis, marine ecosystem modeling, and aquatic research workflows
Nutritional analysis, food safety research, and agricultural biotechnology
Forest management, biodiversity analysis, and environmental conservation tools
Crop modeling, precision agriculture, and sustainable farming research
Protein structure analysis, molecular dynamics, and structural bioinformatics
Weather prediction, climate simulations with WRF, CESM, and atmospheric modeling tools
Image processing, survey analysis, cosmological simulations with specialized astronomy software
High-performance computing for particle physics, quantum mechanics, and materials science
Air quality modeling, atmospheric reactions, and environmental chemistry analysis
Solar and wind energy modeling, grid optimization, and sustainable energy research
Earthquake simulation, geological modeling, and seismic analysis
Deep learning training, model deployment with PyTorch, TensorFlow, and GPU-optimized environments
Security analysis, threat detection, and cybersecurity tool development
Molecular dynamics, quantum chemistry, drug discovery with specialized computational chemistry tools
Materials simulation, property prediction, and advanced materials research
System performance analysis, computational benchmarking, and optimization studies
Scientific visualization, data rendering, and interactive graphics development
Virtual screening, molecular docking, and ADMET prediction for pharmaceutical research
GIS analysis, satellite processing, mapping workflows with GDAL, QGIS, and spatial tools
Financial modeling, economic analysis, and cloud cost optimization research
Text analysis, cultural data mining, and computational humanities research
Quantum algorithm development, quantum simulation, and quantum machine learning
Numerical analysis, optimization, and computational mathematics research
Social network analysis, survey research, and computational social science
Motion analysis, performance optimization, and sports technology research
Select from 27 research domains optimized for your field
Set preferences through the web interface and deploy with one click
Track real-time performance and costs through the dashboard
Access your environment with all tools and data ready to go
# Quick Setup - Web Interface git clone https://github.com/scttfrdmn/aws-research-wizard.git cd aws-research-wizard/go go build ./cmd/main.go # Start the web interface ./main server --port 8080 # Open browser and visit: # http://localhost:8080 # 1. Select Research Domain (27 available) # 2. Configure deployment settings # 3. Deploy with one click # 4. Monitor real-time performance