ROCKIT - Enable AMD Hardware

The AI infrastructure landscape has a fundamental problem. AMD's MI300X packs 192GB of HBM3 VRAM — outperforming NVIDIA's H200 on paper. Yet 86% of enterprise AI deployments still run on NVIDIA. The reason isn't the silicon. It's fragmentation. CUDA is one product. ROCm is 27. Every domain where CUDA ships one unified library, ROCm ships 2–4 competing pieces with version mismatches and missing equivalents. Developers spend more time wrestling with tooling than building products. ROCKIT solves this. ROCKIT is a fully integrated, AMD-native agentic AI platform — the missing software layer that makes AMD hardware as deployable as NVIDIA's. At its core is rockit_utils — one SDK, nine modules, abstracting the entire ROCm stack. Before: juggling rocBLAS, hipBLAS, MIOpen, and RCCL separately. After: one import, one call, 80%+ GPU utilization, zero fragmentation. Built on this foundation, ROCKIT delivers: Model Serving via vLLM-ROCm with full FP16 precision across 192GB VRAM. Private Enterprise RAG with hipVS for full data sovereignty. Multimodal Vision Intelligence using Qwen2-VL and DirectGMA for NVMe-to-VRAM transfers with zero CPU bottleneck. Agentic Chat with tools, web search, and code execution — entirely on AMD hardware. Custom Endpoint Composition — wire any LLM with any capability and deploy as a production API. ROCKIT JupyterLab — full stack pre-installed, from zero to inference in 90 seconds. ROCKIT runs on the AMD Radeon AI PRO R9700 for individual developers and scales to MI300X datacenter clusters for enterprise — same codebase, zero changes. AMD has the best AI hardware in the world. ROCKIT gives it a brain.