At Corebridge Strategy Institute, we architect and operationalize AI Operations Strategy—turning intelligence into an enduring enterprise capability.

Our mission is to embed AI within the fabric of business systems, aligning model performance, infrastructure strategy, and organizational execution into a cohesive framework.

We maintain close relationships with NVIDIA and bring extensive experience with Hopper, Grace Hopper, and Blackwell architectures, designing environments optimized for both training and inference.

Our hybrid-cloud compute models balance on-premise control with burst capacity across major hyperscalers, ensuring scalability, governance, and cost efficiency.

Corebridge partners with CoreWeave, Lambda, and other high-performance infrastructure providers to deliver High Power Compute clusters orchestrated with Slurm, purpose-built for large-scale Transformer and LLM workloads.

We leverage Weights & Biases and MLflow to establish unified MLOps environments that govern experimentation, LoE fine-tuning, and production deployment through transparent, auditable workflows.

Our teams have deep experience across Google Cloud Platform, AWS, Microsoft Azure, and Oracle Cloud Infrastructure, enabling seamless integration between cloud-native services, model orchestration, and enterprise data systems.

We design architectures around Transformer and Mixture-of-Experts models, adaptive retraining loops, and automated inference pipelines that maintain accuracy, throughput, and business alignment at scale.

Beyond infrastructure, our Institute advances the field of Enterprise Intelligence—merging AI strategy, governance, and human expertise into operational excellence.

We guide organizations from pilot to production, establishing the structure, compute, and accountability required for AI to operate as a sustained, strategic asset.

Through this convergence of strategy, system, and intelligence, Corebridge Strategy Institute enables enterprises to train faster, deploy smarter, and evolve continuously in the era of applied AI.