Relevance Lab Expands Scientific Computing Capabilities to Accelerate Advanced Research

Relevance Lab announced an expansion of its Research Gateway platform, introducing a unified Scientific Computing Framework that enables research and industry teams to run high-performance, compute-intensive workloads with greater speed, automation, and scalability.

Modern research depends heavily on cloud and HPC-powered computation for simulations, modeling, data analysis, and AI-driven research. Traditional research computing methods often lead to operational bottlenecks, limited scalability, and inconsistent access to specialized scientific tools.

Relevance Lab’s enhanced framework brings together the strengths of cloud, HPC, automation, and GenAI to provide:

• On-demand HPC clusters for simulation and modeling
• Interactive scientific workspaces with GPU access
• Seamless access to open-source and commercial scientific software
• Integrated data management aligned to FAIR principles
• Automated orchestration for complex scientific workflows
• Policy-driven controls for cost, security, and compliance

With this unified Scientific Computing Framework, researchers across academic institutions, research labs, healthcare organizations, and commercial R&D teams can accelerate workloads such as Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), molecular modeling, climate research, and engineering simulations.

It reduces processing time from weeks to hours through automated scaling and optimized resource utilization while driving faster experimentation, improved reproducibility, and frictionless scientific collaboration.

Learn more about this expanded capability by reading the full blog: Cloud Solutions for Research & Scientific Computing