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.

Which NVIDIA GPUs are supported by RightNow AI?

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.

How much does RightNow AI cost?

RightNow AI is free to use with unlimited profiling and benchmarking. RightNow Pro costs $20 per month and adds GPU emulator access (50+ GPUs), multi-GPU comparison, and 1,000 AI credits per month.

What is the best CUDA development tool?

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.

Can I use RightNow AI on macOS?

Yes, RightNow AI is fully available on macOS (Apple Silicon and Intel). Mac users can use remote GPUs for free or our built-in GPU emulator for CUDA profiling.

RightNow AI - Best AI Code Editor for GPU Kernels

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│ DEVELOPMENT ROADMAP │

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✓

completed

Q2 2025

Core CUDA Editor

VSCode-based editor with real-time CUDA profiling and AI-powered code assistance.

• NVIDIA Nsight Compute integration

• Real-time GPU performance metrics

• AI-powered CUDA autocomplete

• Hardware detection and optimization

✓

completed

Q3 2025

Multi-LLM Provider Support

Comprehensive support for 15+ LLM providers with local model integration.

• OpenAI, Anthropic, Deepseek integration

• Local Ollama and vLLM support

• BYOK (Bring Your Own Key) flexibility

• Fill-in-the-Middle optimization

✓

completed

Q4 2025

GPU Emulator

Test and profile CUDA code without physical GPU hardware access.

• Virtual GPU environment

• Architecture simulation (Ampere, Ada, Hopper)

• Performance estimation

• Memory behavior emulation

✓

completed

Q4 2025

Remote GPU Connection

Connect to and profile remote GPUs via SSH and cloud providers.

• SSH GPU profiling

• Cloud GPU integration (AWS, GCP, Azure)

• Remote kernel execution

• Real-time metrics streaming

○

planned

Q1 2026

Multi-GPU Support

Profile and optimize code across multiple GPU configurations.

• Multi-GPU profiling dashboard

• Load balancing analysis

• GPU-to-GPU communication optimization

• Parallel kernel execution

○

planned

Q1 2026

Enterprise Features

Datacenter-scale optimization tools for enterprise deployments.

• 100+ GPU cluster support

• Batch profiling automation

• CI/CD pipeline integration

• Custom reporting and analytics

○

planned

Q1 2026

Advanced AI Models

CUDA-specific AI models trained on optimization patterns.

• Fine-tuned CUDA optimization models

• Performance prediction

• Automatic kernel optimization

• Code refactoring suggestions

○

planned

Q2 2026

AMD GPU Support

Extend support to AMD GPUs with ROCm integration.

• ROCm profiling integration

• HIP code analysis

• Cross-vendor optimization

• AMD architecture support

│ ✓ COMPLETED → IN PROGRESS ○ PLANNED │

TIMELINE

✓Q2 2025|Core CUDA Editor

│

✓Q3 2025|Multi-LLM Provider Support

│

✓Q4 2025|GPU Emulator

│

✓Q4 2025|Remote GPU Connection

│

○Q1 2026|Multi-GPU Support

│

○Q1 2026|Enterprise Features

│

○Q1 2026|Advanced AI Models

│

○Q2 2026|AMD GPU Support

✓ COMPLETED

→ IN PROGRESS

○ PLANNED