A leading research university deployed AI Workspaces within Research Gateway on AWS, giving researchers self-service access to GPU-enabled environments that support both open-source models via Ollama and Amazon Bedrock-hosted foundation models.
The University is a leading research institution whose faculty and researchers increasingly rely on Large Language Models (LLMs) for data analysis, software development, scientific computing, and AI-assisted research.
Researchers wanted the flexibility to experiment with both open-source foundation models and commercial models without the complexity of manually configuring GPU infrastructure or managing AI software environments.
Relevance Lab partnered with the University to deploy AI Workspaces within Research Gateway, providing researchers with secure, self-service AI environments capable of running both local open-source models and Amazon Bedrock-hosted foundation models from a single integrated workspace.
AI-Enabled Research Workspace Blueprint
Explore the AI Workspaces architecture, Research Gateway deployment, GPU-enabled self-service provisioning, open-source model support with Ollama, secure Amazon Bedrock integration, AI cost monitoring, implementation approach, and business outcomes behind this secure AI research platform.
View the Full Case Study →Business Challenges
The University wanted to democratize access to AI technologies while simplifying infrastructure management and maintaining institutional governance.
Several key challenges needed to be addressed.
Solution
Relevance Lab deployed Research Gateway with a new AI Workspaces catalog offering that enabled researchers to provision fully configured AI development environments through a self-service portal.
Each workspace combined GPU computing, AI development tools, open-source LLM support, and Amazon Bedrock integration within a standardized research environment.
Architecture Highlights
Business Outcomes
Research Gateway: Built for Modern AI Research
Relevance Lab helps universities and research institutions democratize access to AI technologies without adding infrastructure complexity. Our expertise covers Research Gateway AI Workspace deployment, GPU-enabled self-service provisioning, open-source model support through Ollama, and secure Amazon Bedrock integration with institutional governance.
We combine deep AWS platform knowledge with hands-on experience in AI-enabled research computing, helping institutions eliminate manual infrastructure setup, standardize AI development environments, and give researchers self-service access to both open-source and enterprise AI models — with full cost visibility across every workspace.