RightNow CUDA Editor
UnclaimedAI code editor for GPU development
Pricing
Freemium
RightNow CUDA Editor offers a generous free tier with optional paid upgrades for advanced features.
About RightNow CUDA Editor
RightNow CUDA Editor is an AI-powered integrated development environment specifically designed for NVIDIA GPU-accelerated programming. As the first GPU-native code editor for CUDA development, it combines real-time GPU profiling, AI-driven code optimization, hardware virtualization, and architecture-specific emulation into a unified workspace for GPU software engineers, ML infrastructure teams, and researchers.
The editor features an intelligent AI agent that understands NVIDIA GPU architecture including memory hierarchy, warp scheduling, and occupancy to suggest kernel-level optimizations, launch configuration changes, and micro-architectural improvements. It supports CUDA, Triton, TileLang, and CUTE with context-aware smart autocomplete and natural language editing capabilities that let developers describe changes in plain English.
RightNow CUDA Editor includes GPU emulation capabilities supporting 86+ GPU architectures with under 2% error, allowing developers to test on H100s and A100s without owning the hardware. The real-time profiling surfaces hotspots, stalls, and memory transfers directly in the editor, while automated benchmarking sweeps across block sizes, thread counts, and memory layouts to find optimal configurations. Performance improvements of 2x to 179x compared to baseline implementations are common.
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Write a ReviewRightNow CUDA Editor FAQ
RightNow supports CUDA, Triton, TileLang, and CUTE with intelligent documentation retrieval that understands your GPU and code context.
Yes, the editor emulates 86+ GPU architectures with under 2% error, allowing you to test on H100s, A100s, and other GPUs without owning the hardware.
The AI agent reasons about NVIDIA GPU architecture including memory hierarchy, warp scheduling, and occupancy to suggest kernel-level optimizations, launch configurations, and micro-architectural improvements.
Yes, you can run models locally with Ollama, vLLM, or LM Studio, ensuring your code never leaves your machine for privacy-sensitive projects.
RightNow AI can deliver performance improvements ranging from 2x to 179x compared to baseline implementations, with real-world gains of 10-50x common on modern GPUs like RTX 4090.