What is RightNow AI?
RightNow AI is a YC-backed GPU research lab that delivers a comprehensive suite of tools for AI model-hardware co-design, enabling engineers to optimize GPU kernels and deploy inference workloads faster. At its core is the RightNow CUDA Editor, an AI-powered code editor tailored for Nvidia GPU development. It features integrated profiling, PTX/SASS inspection, emulation, and remote GPU workflows, allowing developers to write, debug, and optimize CUDA kernels with real-time feedback. The editor supports multiple platforms including Windows, macOS, and Linux, making it accessible to a wide range of users.
Beyond the editor, RightNow AI provides RunInfra inference infrastructure for deploying, measuring, and operating inference workloads at scale. This includes tools for inference optimization, kernel runtime analysis, correctness checks, and benchmarked variants. The lab also publishes cutting-edge research on arXiv, including AutoMegaKernel, AutoKernel, StreamIndex, Ouroboros, HCLSM, and TIDE, covering sparse attention, dynamic model adaptation, world models, token-level inference, and automated GPU-kernel search.
For developers seeking low-level control, RightNow AI offers open-source systems like a Rust-based agent infrastructure for direct OS and GPU interface access, a small C inference runtime for edge devices, and a kernel-search system that profiles PyTorch models, tests Triton variants, and uses measured bottlenecks to guide experiments. These tools bridge the gap between AI models and hardware, accelerating the path from model to optimized production inference.
Use cases include GPU kernel development, inference deployment, edge computing, and research in model-hardware co-design. RightNow AI is ideal for engineers, researchers, and enterprises looking to maximize GPU performance and streamline AI inference pipelines.
Use Cases
Key Features
CUDA kernel optimization AI powered code editor integrated profiling PTX/SASS inspection remote GPU workflows inference infrastructure kernel runtime analysis correctness checks benchmarked variants cross platform supportWho is it for?
GPU developers, AI engineers, ML researchers, hardware engineers, inference platform teams, DevOps engineers, SREs
