RightNow AI
AI-powered code editor for NVIDIA GPU kernel development and optimization with profiling, benchmarking, and GPU emulation.
At a Glance
Pricing
For solo developers with single GPU development
Engagement
Available On
About RightNow AI
RightNow AI is a specialized code editor designed for NVIDIA GPU kernel development and optimization. It provides hardware-aware AI assistance that understands your GPU architecture, codebase, and profiling results to help developers write faster, more efficient CUDA code. The platform supports multiple GPU programming languages including CUDA, Triton, PyTorch, CUTLASS Templates (CUTE), and TileLang.
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Hardware-Aware AI provides state-of-the-art LLMs trained on your specific GPU architecture, delivering GPU-optimized code suggestions and autocomplete that understand your hardware constraints.
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Instant Analysis displays kernel metrics while you type, offering real-time performance insights through CodeLens performance metrics integrated directly into the editor.
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GPU Emulator allows testing kernels on 86+ GPU architectures including A100, H100, and H200 with under 2% error, enabling development without owning the actual hardware.
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Smart Profiling Terminal analyzes profiling results and tells you exactly what's wrong and how to fix it, with natural language profiling that generates Nsight Compute commands automatically.
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Automated Benchmarking sweeps block sizes, thread counts, and memory layouts automatically to find the fastest configuration and track performance regressions.
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PTX/SASS Viewer provides Godbolt-style assembly view for GPU kernels, letting you hover on any line to see the actual PTX and SASS instructions your GPU executes.
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Multi-GPU Profiling enables profiling across multiple GPUs simultaneously, comparing metrics side by side to catch regressions early.
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Local LLM Support runs models locally with Ollama, vLLM, or LM Studio, ensuring your code never leaves your machine for privacy-conscious development.
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Remote GPU Virtualization lets you write code on your laptop and execute on cloud H100s instantly without any setup required.
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Forge CLI offers an AI-powered swarm agent with 32 parallel Coder+Judge pairs that can optimize PyTorch models up to 5x faster than torch.compile() with 97.6% correctness.
To get started, download the desktop application for Windows, Mac, or Linux from the website. The free tier includes unlimited profiling and benchmarking with single GPU development. Pro users gain access to the GPU emulator, multi-GPU comparison, and unlimited AI features for $29/month.

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Pricing
Free Plan Available
For solo developers with single GPU development
- Single GPU development
- Unlimited profiling & benchmarking
- CodeLens performance metrics
- GPU virtualization
- Local LLM support
Pro
For professional teams with advanced GPU features
- Everything in Free
- GPU emulator access (50+ GPUs)
- Multi-GPU comparison (6 max)
- Natural language profiling
- 1 Forge credit/mo
- 1000 AI Agents credits/mo
- Unlimited autocomplete
- GPU-optimized suggestions
- Priority email support
Enterprise
For large organizations with custom requirements
- Everything in Pro
- 100+ GPU clusters
- Datacenter optimization
- On-premise deployment
- Custom silicon support
- Unlimited Forge credits
- Custom model fine-tuning
- Dedicated support team
- 24/7 SLA
- 99.95% uptime guarantee
Capabilities
Key Features
- Hardware-aware AI code suggestions
- Instant kernel analysis while typing
- GPU emulator for 86+ architectures
- Smart profiling terminal
- Automated benchmarking
- PTX/SASS assembly viewer
- Multi-GPU profiling and comparison
- Local LLM support (Ollama, vLLM, LM Studio)
- Remote GPU virtualization
- Natural language profiling
- CodeLens performance metrics
- Automatic kernel fusion
- Forge CLI swarm agent
- Multi-DSL support (CUDA, Triton, PyTorch, CUTE, TileLang)