AI ecosystem enablement​

Thermal modeling and ESG impact estimation​

GPU capacity forecasting and right-sizing​

AI stack comparisons (e.g., InfiniBand vs. Ultra-Ethernet)​

Public cloud vs. Specialist GPU cloud vs. on-prem comparisons

Generative AI and deep-learning​

LLM fine-tuning (cloud and on-prem)​

Computer vision and image modeling​

Vector DBs selection and LLMOps

Edge-compute and AI inference​

Edge frameworks and AI inference ​

Testing LLM/GenAI embeddings in edge-compute products​

Foundational data capabilities​

Digital twins, AI workload replication

Federated machine learning

AI middleware: data catalogs, lineage tools, and more