RightNow AI

RightNow AI is a specialized, AI-powered code editor built to accelerate CUDA development for hardware AI developers, researchers, and high-performance computing engineers. It consolidates the fragmented GPU development workflow by integrating a powerful editor with advanced tools like real-time profiling, benchmarking, and GPU emulation. This eliminates the need to switch between multiple applications like Nsight Compute, a code editor, and terminals, allowing developers to write, test, and optimize CUDA kernels within a single, unified environment. The tool is designed to understand the specific GPU architecture you're working with, providing hardware-aware AI suggestions to maximize performance.

How to use RightNow AI

Start by downloading and installing the application for your operating system (Windows, macOS, or Linux). Once installed, you can begin writing or importing your CUDA C++ or PyTorch code. As you type, the AI provides intelligent code completion and optimization suggestions. Use the built-in profiling terminal to get real-time performance metrics and run benchmarks across different configurations to find the optimal setup. For hardware you don't own, leverage the GPU emulator to test your kernels on over 86 different architectures, including high-end models like the H100 and A100. The AI bottleneck analysis feature will interpret profiling results and provide clear, actionable advice on how to fix performance issues.

Core Features of RightNow AI

• AI-Powered CUDA Editor: Features intelligent code completion, GPU-optimized suggestions, and AI-driven bottleneck analysis.
• GPU Emulator: Test and profile CUDA kernels on 86+ virtual GPU architectures (e.g., A100, H100) without needing the physical hardware, with 96-98% accuracy.
• Real-Time Profiling & Benchmarking: Get instant kernel metrics (NCU metrics), live GPU utilization, and run automated benchmarks to track performance and regressions.
• Hardware-Aware AI: The AI understands specific GPU architectures (sm_86, sm_90, etc.) to provide tailored optimization advice.
• Local LLM Support: Integrates with Ollama, vLLM, and others, ensuring your code remains private and never leaves your machine.
• PTX/SASS Viewer: A Godbolt-style assembly viewer that shows what your GPU is actually executing, with line-by-line instruction mapping.
• Remote GPU & Multi-GPU Support: Code locally and execute on remote cloud GPUs (AWS, Google Cloud, etc.) via SSH. Profile and compare performance across multiple GPUs simultaneously.
• Natural Language Profiling: Describe what you want to profile in plain English to get the correct Nsight Compute commands instantly.

Use Cases for RightNow AI

RightNow AI is ideal for professionals engaged in GPU-intensive tasks. This includes AI/ML engineers optimizing training and inference kernels, high-performance computing (HPC) developers writing complex simulations, game developers working on graphics and physics engines, and academic researchers pushing the boundaries of parallel computing. Any developer working with NVIDIA CUDA who wants to streamline their workflow, improve code performance, and test on a wide range of hardware will find this tool invaluable.

Advantages of RightNow AI

The primary advantage of RightNow AI is its unified workflow, which saves significant time and reduces context switching. Its GPU emulator democratizes access to high-end hardware, enabling developers to optimize for architectures they don't physically possess. The hardware-aware AI provides expert-level insights, helping even less experienced developers identify and resolve complex performance bottlenecks like memory coalescing or bank conflicts. Finally, its support for local LLMs addresses critical privacy and security concerns for organizations working with proprietary code.

Pricing and Plans

RightNow AI offers a freemium model with three distinct tiers:

• Free: Costs $0/month. Designed for solo developers, it includes single GPU development, unlimited profiling & benchmarking, CodeLens performance metrics, local LLM support, and limited AI credits (50/month).
• Pro: Costs $20/month. Aimed at professional teams, this plan includes everything in Free, plus GPU emulator access, multi-GPU comparison (up to 6), natural language profiling, 1,000 AI credits/month with premium models, and priority email support.
• Enterprise: Custom pricing. For large organizations, it offers everything in Pro with unlimited capacity, support for 100+ GPU clusters, on-premise deployment, custom silicon support, and a dedicated support team with a 24/7 SLA.