Infrastructure Selection
Choose and manage the right HPC infrastructure for scientific and research workloads.
Scientific compute on AWS
Deploy research HPC applications in the cloud with Clovertex.
Clovertex specializes in scientific research computing platforms. The team supports raw data processing on Amazon Web Services for Illumina sequencers, Thermo Fisher Scientific cryo-electron microscopes, genomics pipelines, and other research applications.
AWS ParallelClusterArchitecture support for research workloads
AWS BatchScalable execution for genomics and compute pipelines
Days to hoursDesigned to reduce research turnaround time
Built for scientific teams
Cloud-native HPC environments with scalability, zero wait time, and zero resource sharing so researchers can get productive faster.
Research application support
HPC platforms for genomics, cryoEM, and modern scientific workflows.
In addition to building pipelines, Clovertex supports AWS ParallelCluster and AWS Batch based platforms for research applications that need performance, flexibility, and fast provisioning.
cryoSPARC
RELION
Illumina
Thermo Fisher Scientific
Genomics
Research Applications
Client success story
Trusted by cryoEM and drug discovery teams.
“Clovertex has been extremely knowledgeable and was able to deliver beyond the requirements and scope of the work. I would recommend Clovertex to any colleagues applying cryoEM to drug discovery who do not have a dedicated computational scientist on their team.”
Associate Director, DevOps · Emerging Biotech
AWS partner recognition
Clovertex offering
Expert services that make HPC migration and operation practical.
Clovertex brings together infrastructure planning, migration, benchmarking, ROI assessment, access design, code modernization, and training so research teams can move HPC workloads with confidence.
Cloud Migration Assistance
Move workloads from existing environments into AWS with a practical migration path.
Benchmarking & ROI
Use benchmarking methods and price-performance analysis to evaluate fit and return.
Governance & Enablement
Define user access, administration procedures, training plans, and supporting workshops.
Service detail
Purpose-built workstreams for research compute modernization.
Clovertex positions HPC as more than infrastructure alone: it is a combination of architecture, migration, governance, and modernization so scientists can use the environment productively.
- Infrastructure selection and management for HPC
- Migration assistance
- Benchmarking tools and techniques
- Evaluation of price/performance metrics and ROI studies
- On-premise and cloud infrastructure integration
- Define user access and administration procedures
- Code modernization when required
- Training and workshops for research teams
Operating model
Discovery to production: a cleaner flow for scientific HPC.
A connected operating model helps teams move from discovery through architecture, migration, validation, and long-term enablement.
AssessReview workloads, data flow, software dependencies, and research objectives.
ArchitectSelect AWS-based compute, storage, access, and orchestration patterns.
MigrateMove clusters, pipelines, and supporting services into a governed cloud environment.
ValidateBenchmark performance, compare price/performance, and confirm operational readiness.
EnableTrain teams, formalize administration, and support long-term usage and optimization.
Clovertex advantage
Cloud and HPC expertise tailored to specific research needs.
Clovertex partners with leading cloud providers and IT stakeholders to deliver HPC solutions with attention to ease of deployment, reliability, security, compliance, operational excellence, and cost optimization.
Faster scientific productivity
Designed to help researchers get productive quickly with scalable environments and less waiting for shared resources.
Enterprise-grade foundations
Solutions are framed around reliability, security, compliance, and sound architecture principles.
Operational and cost focus
Clovertex emphasizes operational excellence and cost optimization alongside workload performance.
Why HPC matters
High performance computing remains foundational for scientific breakthroughs.
HPC enables teams to process large volumes of data and run complex computational tasks at high speed. As scientific methods evolve, traditional environments can become restrictive without more elastic, governed compute models.
Compute at scale
Organizations use clusters of networked servers, often with hundreds or thousands of compute nodes, running tools and algorithms in parallel while accessing shared storage for input, processing, and output.
A new approach is needed
As new tools and computational methods emerge, restrictive traditional environments create pressure for more elastic, better-governed, cloud-ready HPC models.
Proof points
Signals of trust from cloud and life sciences work.
These trust signals reflect Clovertex?s focus on scalable cloud HPC, life sciences workloads, and practical scientific enablement.
“Clovertex has been extremely knowledgeable and was able to deliver beyond the requirements and scope of the work.”
Cloud-native HPC environments are positioned to provide scalability, zero wait time, and zero resource sharing for research scientists.
Clovertex describes support for genomics and cryoEM processing on AWS, including AWS ParallelCluster and AWS Batch based architectures.
Ready to reduce research time
Tell Clovertex about your scientific workflow and cloud goals.
Bring your compute bottleneck, genomics pipeline, cryoEM workload, or migration question. Clovertex can help define the right launch path for research HPC on AWS.