Research &
Academia
Accelerate discovery with high-performance computing (HPC) and data platforms. Scalable infrastructure for the world's most complex problems.
Petascale Computing
Trusted by Leading Researchers
Research Computing Barriers
Modern research requires computational power that traditional IT cannot provide. Data silos and lost environments slow discovery. We remove the bottlenecks.
Computational Bottlenecks
Researchers wait weeks for compute time on shared clusters. Simulations that should take hours stretch to days. Limited resources throttle discovery.
We deploy GPU-accelerated HPC clusters with job scheduling that adapts to research priorities, reducing wait times from weeks to minutes.
Data Silos
Research data trapped in incompatible formats across departments. No unified catalog. Scientists spend 40% of time finding and reformatting data.
We build data lakes with standardized schemas, automated ETL pipelines, and semantic search that surfaces relevant datasets instantly.
Reproducibility Crisis
Published results cannot be replicated. Lost environments, missing dependencies, and ad-hoc scripts make verification impossible.
We containerize workflows with complete dependency tracking, version-controlled pipelines, and one-click reproduction environments.
Research Computing Services
Infrastructure and software engineering for scientific discovery.
High Performance Computing
Design and deployment of GPU clusters and parallel computing environments. SLURM configuration and optimization.
Data Lakes
Petabyte-scale storage architecture with FAIR principles. Metadata tagging and automated ingest pipelines.
Research Software Engineering
Optimization of scientific code. Refactoring for performance, scalability, and maintainability. Porting to GPUs.
Collaboration Portals
Secure web environments for multi-institutional research. Shared workspaces, wikis, and data exchange.
Lab Information Systems
Custom LIMS for sample tracking, experiment workflows, and instrument integration. Automated data capture.
Research Stack
Supported tools and frameworks for scientific computing.
Research Enablement
From hardware provisioning to software optimization, we support the full research lifecycle.
Requirements Gathering
We collaborate with PIs and researchers to understand computational needs. We profile workloads to size compute, memory, and storage correctly.
Architecture & Provisioning
Designing the HPC cluster and storage hierarchy. Automated provisioning of nodes using Infrastructure as Code (Terraform/Ansible).
Workflow Deployment
Installing scientific software stacks and optimizing pipelines. We containerize applications for reproducibility and portability.
Training & Handover
Workshops for researchers on how to use the scheduler, containers, and data management tools. Documentation and ongoing support.
Research Computing Q&A
Technical answers on HPC, security, and integration.