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RightNow AI

RightNow AI

Vibe Coding for CUDA Engineers

Website rightnowai.co
Overview

What it is

RightNow AI is the #1 GPU AI code editor. It combines GPU profiling, benchmarking, AI optimization, GPU virtualization, and a full GPU emulator in one environment to help developers analyze and optimize CUDA code faster

Intent

I need it when

Develop and optimize CUDA kernels without owning expensive GPU hardware

RightNow AI provides a GPU emulator supporting 86+ NVIDIA architectures, allowing developers to write, test, and profile CUDA kernels locally before deploying to real hardware, reducing development costs and iteration time

Analyze GPU kernel assembly and detect performance issues

RightNow AI includes PTX disassembly, SASS inspection, register pressure analysis, and race detection to provide deep insights into kernel behavior and enable low-level optimization

Optimize AI model inference performance at scale across multiple GPUs

Enterprise Forge tier provides AI-powered kernel optimization that generates drop-in replacement kernels for PyTorch models, benchmarked against torch.compile, with dedicated infrastructure and custom SLA for production deployment

Write GPU kernels faster with AI-assisted code generation

RightNow AI offers GPU-aware autocomplete, chat assistant, and one-click optimization powered by local or cloud LLMs, enabling developers to generate and refine CUDA, Triton, CUTE, and TileLang kernels with hardware-specific suggestions

Profile and benchmark GPU kernel performance to identify bottlenecks

The editor integrates NVIDIA NCU profiling, real-time performance metrics via CodeLens, automated benchmarking, and multi-GPU comparison (up to 6 GPUs in Pro tier) to detect bottlenecks and optimize kernel efficiency

Drop

Not a fit when

  • User develops on AMD or non-NVIDIA GPUs; product is NVIDIA CUDA-specific
  • User needs CPU-only development tools; product requires NVIDIA CUDA Toolkit 11.0+
  • User requires on-premise deployment without enterprise Forge contract; free and Pro tiers are cloud-based
  • User works with edge inference on resource-constrained devices; while PicoLM exists as open-source, the editor targets datacenter GPU development
  • User needs real-time collaborative multi-user editing; product is designed for individual or team GPU kernel development without mention of collaborative features
Commercials

Pricing

Freemium with paid Pro tier ($20/mo) and enterprise Forge tier (custom pricing) View pricing