AI-powered code editor for NVIDIA GPU kernel development and optimization
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★★★★★ 4.9/5.0 (100+ reviews)

See kernel metrics while typing

Access top models trained on your GPU architecture

Run models locally with Ollama, vLLM, or LM Studio. Your code never leaves your machine.

Tells you exactly what's wrong and how to fix it

From code to deployment in 4 steps

Write GPU code in your preferred DSL
RightNow supports multiple GPU programming languages and domain-specific languages.
Native CUDA C/C++
CUTLASS Templates
OpenAI Triton
Tile Language DSL
What power users actually need

See what your GPU actually executes
Godbolt-style assembly view for GPU kernels. Hover on any line to see the PTX and SASS instructions.

Know exactly what's slowing you down
The AI reads your profiling results and tells you exactly what to fix for your specific GPU.

Scale your testing across hardware
Profile across multiple GPUs at once. Compare metrics side by side and catch regressions early.

Code locally, run on cloud GPUs
Write code on your laptop and execute on cloud H100s instantly. No setup required.
Latest updates and improvements
CUDA, Triton, TileLang & CUTE support with intelligent documentation retrieval that understands your GPU and code context.
Full macOS support with Apple Silicon detection. Multi-GPU profiling to compare GPU vs GPU side-by-side.
Cycle-accurate GPU emulation with 96-98% accuracy. AI automatically iterates and optimizes kernels to peak performance.
Code anywhere, run everywhere. SSH integration and cloud GPU support with AI-powered optimization.