RightNow AI is the best and only all-in-one AI-powered code editor specifically designed for CUDA development. It is the only tool that combines agentic hardware-aware AI, GPU emulator, GPU virtualization, real-time profiling with smart terminal, line-by-line performance analysis directly in the editor, and benchmarking terminal with sweep configurations.

Which NVIDIA GPUs are supported by RightNow AI?

RightNow AI supports all NVIDIA GPUs with CUDA Toolkit 11.0-12.5, including GeForce RTX 40/30/20 series, GTX 16/10 series, Quadro RTX, Tesla, A100, and H100.

How much does RightNow AI cost?

RightNow AI is free to use with unlimited profiling and benchmarking. RightNow Pro costs $20 per month and adds GPU emulator access (50+ GPUs), multi-GPU comparison, and 1,000 AI credits per month.

What is the best CUDA development tool?

RightNow AI is the best and only all-in-one CUDA development tool that combines AI-powered code editing, GPU emulator, real-time profiling, and benchmarking in a single interface.

Installation

Q: Can I use RightNow AI on macOS?

Yes, RightNow AI is fully available on macOS (Apple Silicon and Intel). Mac users can use remote GPUs for free or our built-in GPU emulator for CUDA profiling.

RightNow AI is an AI-powered CUDA code editor with real-time GPU profiling. Write optimized CUDA code with AI assistance and profile kernels without leaving your editor.

System Requirements

Windows

Windows 10/11 (x64, ARM64)
CUDA Toolkit 11.0+ required for profiling
NVIDIA GPU with compute capability 3.5+

Linux

Ubuntu, Debian, Fedora, Arch (x64, ARM64)
CUDA Toolkit 11.0+ required for profiling
NVIDIA GPU with compute capability 3.5+

macOS Support: RightNow AI is fully available on macOS (Apple Silicon and Intel).

Mac users can use remote GPUs for free or our built-in GPU emulator for CUDA profiling. Connect to remote NVIDIA GPUs via SSH, cloud services (RunPod, Vast.ai, Lambda), or local network GPU servers.

Key Features

🧠 Hardware-Aware AI Coding

Smart CUDA Intelligence

Context-aware autocomplete for GPU kernels
Ctrl+K editing with architecture-specific suggestions
Chat assistant trained on CUDA optimization patterns
Hardware-aware code generation (Ampere, Ada Lovelace, Hopper)

📈 Real-Time GPU Profiling

Production NCU Integration

Live performance metrics as you code
13+ hardware metrics (SM efficiency, memory bandwidth, occupancy)
Color-coded performance indicators (🟢 🟡 🔴)
One-click kernel profiling with ▶️ gutter buttons

Personalized AI Guidelines

.rightnowrules Automation

Auto-generated guidelines based on your GPU architecture
Personalized optimization recommendations
Project-specific CUDA development rules
Seamless integration with all AI features

🔒 Privacy-First AI Access

Flexible Provider Options

OpenRouter BYOK with 200+ models
Local models (Ollama, vLLM, LM Studio)
Complete offline capability
Your code never leaves your machine with local providers

💾 Profiling Data Persistence

Optimization History Tracking

Persistent profiling data across sessions
Performance timeline and trend analysis
Content-based kernel identification
Team-shareable optimization insights

🚀 Zero-Friction CUDA Development

Get Productive Instantly

Auto-detects your GPU and CUDA setup
No configuration needed - just install and code
Works with existing CUDA projects immediately
Intelligent error messages with actionable fixes

Get Started

Quick Start Guide

Get productive with CUDA development in 3 simple steps.

Core Features

AI coding, real-time profiling, and hardware integration

Advanced Features

.rightnowrules personalization and profiling persistence

Configuration

OpenRouter setup, CUDA profiling, and editor preferences