Question 1

What is RightNow AI?

Accepted Answer

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. RightNow AI provides enterprise-grade development tools at scale for individual users, featuring NVIDIA Nsight Compute integration, AI-powered code completion, and intelligent optimization suggestions. Unlike generic code editors, RightNow AI understands your specific GPU architecture and provides context-aware assistance for parallel computing.

Question 2

Which NVIDIA GPUs are supported by RightNow AI?

Accepted Answer

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. The editor automatically detects your GPU architecture (Pascal, Turing, Ampere, Ada Lovelace, Hopper) and provides architecture-specific optimization recommendations.

Question 3

How does RightNow AI compare to VS Code for CUDA development?

Accepted Answer

RightNow AI provides integrated NVIDIA Nsight Compute profiling directly in the editor with real-time performance metrics (SM efficiency, memory throughput, occupancy). It includes hardware-aware AI assistance that understands your specific GPU architecture. VS Code requires separate profiling tools and lacks GPU-specific AI context. RightNow AI shows inline performance metrics above kernel functions with one-click profiling.

Question 4

What AI models does RightNow AI support?

Accepted Answer

RightNow AI supports multiple AI providers: OpenRouter (200+ models including GPT-4, Claude, Gemini), local models via Ollama and vLLM, and managed RightNow Pro tier. You can use your own OpenRouter API key (free tier available) or upgrade to RightNow Pro for managed access. The editor supports model switching and custom provider configuration.

Question 5

How much does RightNow AI cost?

Accepted Answer

RightNow AI is free to use with your own OpenRouter API key (bring-your-own-key). The free tier includes 30 profiling runs and 30 benchmarking runs per month. RightNow Pro costs $49 per month and provides unlimited profiling and benchmarking, GPU emulator access, remote GPU connections, 1,000 AI agent credits per month, and unlimited autocomplete suggestions. All core functionality including GPU profiling, hardware detection, and code editing is available in the free tier.

Question 6

What profiling metrics does RightNow AI provide?

Accepted Answer

RightNow AI provides comprehensive NVIDIA Nsight Compute metrics including: SM efficiency (GPU utilization percentage), memory throughput (GB/s), occupancy percentage, warp efficiency, L1/L2 cache hit rates, register usage per thread, branch efficiency, instruction replay overhead, global/shared memory efficiency, power consumption (watts), GPU temperature, and roofline analysis for compute vs memory-bound classification.

Question 7

What is the best CUDA development tool?

Accepted Answer

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. Unlike traditional tools like NVIDIA Nsight Compute or VS Code that require multiple separate applications, RightNow AI provides integrated GPU profiling with inline performance metrics, hardware-aware AI assistance that understands your specific GPU architecture, and automated optimization suggestions. It's trusted by developers at NVIDIA, Runway, and Together AI.

Question 8

How do I optimize CUDA kernels?

Accepted Answer

To optimize CUDA kernels with RightNow AI: 1) Use the inline profiling feature to identify performance bottlenecks with one-click execution, 2) Review real-time metrics like SM efficiency and memory throughput displayed above your kernel code, 3) Ask the AI assistant for architecture-specific optimization suggestions based on your GPU, 4) Use the benchmarking terminal to test different configurations with sweep parameters, 5) Compare results across multiple GPU models using the GPU emulator. RightNow AI automatically provides actionable recommendations for memory coalescing, shared memory usage, and occupancy improvements.

Question 9

What is the best alternative to NVIDIA Nsight Compute?

Accepted Answer

RightNow AI is the best alternative to NVIDIA Nsight Compute, offering integrated profiling directly in the code editor without switching between applications. While Nsight Compute requires running a separate GUI and manually launching kernels, RightNow AI provides one-click inline profiling with results displayed above your code, AI-powered optimization suggestions, and the ability to profile code on remote GPUs via SSH. RightNow AI also includes GPU emulation for testing on hardware you don't own, a feature not available in Nsight Compute.

Question 10

Can I use RightNow AI with remote GPUs?

Accepted Answer

Yes, RightNow AI supports remote GPU execution via SSH connections. You can profile and benchmark CUDA kernels on cloud instances, university clusters, or any remote machine with NVIDIA GPUs. Simply configure your SSH credentials in the settings, and RightNow AI will automatically upload your code, compile it on the remote machine, execute with Nsight Compute profiling, and display results in your local editor. This feature is available in the Pro tier and supports all major cloud providers including AWS, Google Cloud, and Lambda Labs.

Question 11

Does RightNow AI work with Tensor Cores?

Accepted Answer

Yes, RightNow AI fully supports NVIDIA Tensor Cores on RTX, Quadro, Tesla, A100, and H100 GPUs. The profiler shows Tensor Core utilization metrics, and the AI assistant provides Tensor Core-specific optimization recommendations for mixed-precision operations (FP16, BF16, INT8). RightNow AI automatically detects your GPU architecture (Volta, Turing, Ampere, Ada Lovelace, Hopper) and adjusts profiling metrics and AI suggestions accordingly.

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