Research
HPC computing environments, research data lakes, and collaboration platforms built for research organizations on AWS.
Research organizations need infrastructure that can scale from a single researcher to thousands of concurrent compute jobs, store petabytes of research data cost-effectively, and enable collaboration across institutions and disciplines. Cloud Life Consulting builds AWS infrastructure that accelerates research without the capital cost of on-premise HPC.
By the numbers
1000×
Faster parallel compute workloads available on demand using AWS ParallelCluster and Graviton HPC instances
Petabytes
Of research data storable cost-effectively using AWS S3 Intelligent-Tiering and Glacier Deep Archive
50%
Reduction in research computing costs after migrating from on-premise HPC to AWS Spot and reserved capacity
What we build for you
High-performance computing clusters using AWS ParallelCluster and Batch for on-demand research workloads
Research data lake infrastructure using AWS S3 with intelligent tiering for cost-effective petabyte storage
Multi-institution collaboration environments with secure access controls and data sharing on AWS
Research analytics pipelines using Amazon SageMaker and Glue for data processing and model training
Generative AI on AWS
Cloud Life helps research organizations deploy Amazon Bedrock and SageMaker for literature synthesis, experimental data analysis, and AI-assisted hypothesis generation and modeling.
Cloud Life builds AWS infrastructure for research organizations that need on-demand HPC, petabyte-scale data management, and secure collaboration environments.
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