Gallery
Developer Workflow
Claude integrates into daily development work — answering questions, writing code, reviewing PRs, and explaining complex systems.
Code Generation
Claude can write, explain, debug, and refactor code across dozens of languages. One of its strongest and most-used capabilities.
Compute at Scale
Training and serving large language models requires massive compute infrastructure. Summit at ORNL delivers 200+ petaflops across 4,608 nodes.
Parallel Architecture
IBM Blue Gene/P — massively parallel supercomputer. The distributed compute patterns it pioneered underpin modern LLM training clusters.
Infrastructure Operations
Running LLMs in production requires careful infrastructure management — redundancy, cooling, networking, and constant monitoring for reliability.