Nexus: The Autonomous AMD FinOps Agent

Startups and enterprises are stuck paying a premium for legacy NVIDIA infrastructure because evaluating a migration to AMD ROCm feels risky, technical, and time-consuming. Nexus removes that barrier by turning migration analysis into an automated, auditable process instead of a guessing game. You give Nexus a real Dockerfile or requirements.txt. It parses every dependency and checks it against a hand-verified knowledge graph of CUDA-to-ROCm migration rules — not a vector search, not an LLM hallucination, an actual deterministic lookup table built from real compatibility data. Gemma 4, called via Fireworks AI on AMD-hosted infrastructure, acts as the reasoning and presentation layer on top of that ground truth: using native function calling, it's constrained to only explain and format mappings that exist in the verified ruleset, never invent one. Every dependency in the report gets a color-coded confidence score: green for a direct, verified port; yellow for a functional equivalent with minor behavioral differences; red for "manual verification required," where no safe automated mapping exists. This is a deliberate design choice — Nexus is built to say "I don't know" instead of confidently guessing, which is the difference between a tool teams can actually trust and a demo that falls apart under scrutiny. Cost savings are never estimated by the LLM either. Nexus calculates them in plain Python from a sourced, dated pricing table comparing current NVIDIA instance rates against equivalent AMD MI300X pricing, so every number in the report is auditable back to its source. The result is a clean Streamlit dashboard: paste your current setup on the left, get a full migration report on the right — confidence-scored dependency table, real cost comparison, and a ready-to-use ROCm Dockerfile. Nexus is effectively an AI sales engineer for AMD, but one that earns trust by showing its work instead of just making claims.