Higher Education
Relied On by High-Impact Teams Across Sectors
Whether you’re training multi-billion parameter AI models, running complex simulations, or storing petabytes of critical data, we deliver bare-metal systems optimized for your specific needs.
Purpose-Built Infrastructure for Research and Education
Academic institutions need more than just compute, they need secure, scalable, and supportable environments that integrate with existing IT ecosystems. PSSC Labs delivers HPC and AI platforms purpose-built for the unique demands of higher education: budget predictability, workload flexibility, and research acceleration.
Powering Research and Education Through Intelligent Data Solutions
-
Performance for Research
High-throughput, low-latency infrastructure built for real-time analysis and simulations—so researchers spend less time waiting and more time producing results. -
Campus-Wide Integration
Seamless integration with LMS, SIS, authentication, and research storage lets faculty, students, and IT access shared resources without disrupting workflows. -
Simplified Cloud Management
Academic and administrative teams can monitor usage, allocate compute, and manage resources from a unified control interface—no DevOps degree required. -
AI-Ready Infrastructure
GPU-accelerated environments for deep learning, NLP, image recognition, and other data-intensive workloads, making AI accessible across labs and disciplines. -
Turnkey HPC & Hybrid Support
Preconfigured HPC systems that run out of the box, tailored to your disciplines, with flat-rate pricing and full support for hybrid deployments and federation with networks like Internet2 and XSEDE.
See How Universities Scale Research With PSSC Labs
From life sciences to climate modeling, academic institutions turn to PSSC Labs to accelerate discovery and reduce IT overhead.
See Case StudyI will continue to recommend pssc as our HPC provider. I think there is great benefit to working with a single vendor during the lifetime of a cluster and in the end time, frustration, and costs are usually minimized.
Total Application Support
Compatibility With the Tools Faculty & Students Rely On
Run MATLAB®, RStudio®, ArcGIS®, SPSS®, COMSOL®, and other academic research tools with confidence. Our cloud and on-prem environments are fully compatible with open-source and commercial software stacks—configured and validated by our engineering team
Use Cases for Higher Education
-
Life Sciences & Genomics
Accelerate bioinformatics, gene sequencing, and molecular modeling with GPU-accelerated compute and scalable storage -
Virtual Labs for AI / ML Instruction
Enable hands-on, cloud-based instruction for machine learning and AI courses with isolated, GPU-enabled environments for every student. -
GIS & Remote Sensing
Process geospatial data, run complex spatial analysis, and manage remote sensing workloads with real-time performance and massive storage capacity. -
Engineering Simulations
Support CFD, FEA, and structural analysis with high-performance computing that matches your research complexity. -
Secure Student Data Environments
Ensure FERPA, HIPAA, and ITAR compliance with hardened infrastructure for administrative and academic data. -
Archival and Disaster Recovery
Protect critical datasets with high-redundancy storage, built-in versioning, and recovery plans tailored to academic continuity requirements. -
Cross-Institutional Data Sharing
Facilitate grant-based collaborations and inter-university research through federated access, encrypted file transfer, and multi-tenant controls. -
E-Learning and Online Education
Support LMS platforms, video delivery, and cloud-based tools for synchronous and asynchronous learning across departments. -
Research Computing
Supporting complex, computer-intensive research projects in engineering, life sciences, computer sciences, atmospheric sciences, physics/astrophysics and more