• RightNow AI is an AI-powered code editor tailored for GPU kernel development, particularly in NVIDIA hardware settings.
• It targets engineers in high-performance computing, AI infrastructure, and GPU-accelerated applications, integrating profiling, benchmarking, and optimization into the development workflow.
• The platform differs from general-purpose IDEs by combining hardware-aware AI with specialized GPU tools, allowing real-time performance analysis, bottleneck identification, and configuration testing.
• RightNow AI supports various GPU programming languages and DSLs, including CUDA, Triton, Mojo, PyTorch kernels, and Numba.
• It can automatically profile kernels, suggest optimizations, benchmark across configurations, and emulate different GPU architectures without needing specialized hardware access.
• The local LLM support ensures code privacy by enabling models to run locally.
• It features natural-language profiling, allowing conversational input for performance goals, which the system converts into commands and analysis workflows.
• Additional functionalities include remote GPU virtualization, multi-GPU profiling, PTX/SASS assembly viewing, and live utilization metrics.
• Overall, RightNow AI streamlines the GPU kernel development lifecycle, from code writing and testing to performance optimization and deployment, within a comprehensive, AI-enhanced interface.
AI-powered GPU kernel code editor optimized for NVIDIA hardware
Instant kernel performance analysis while coding
Hardware-aware AI that understands GPU architecture and code context
Automatic benchmarking across block sizes, memory layouts, and configurations
GPU architecture emulation for testing without physical hardware
Natural-language profiling and automated command generation
Local and cloud LLM support for secure AI-assisted workflows
Smart profiling terminal with performance diagnostics and fixes
Multi-GPU profiling and side-by-side performance comparison
Remote GPU virtualization for executing workloads on cloud hardware
What is RightNow AI used for?
RightNow AI is used for developing, optimizing, and profiling GPU kernels with AI-assisted tooling specifically designed for NVIDIA-based hardware environments.
Which programming languages and frameworks are supported?
The platform supports CUDA, Triton, Mojo, PyTorch kernels, Numba, CUDA Tile, CUTLASS templates, and other GPU-focused DSLs.
Can developers test GPU performance without owning high-end hardware?
Yes. The system includes GPU architecture emulation and remote GPU execution, allowing testing on different architectures without physical devices.
Does RightNow AI keep code private?
Yes. Local LLM support allows models to run on-device, ensuring that code can remain private and does not need to leave the developer’s machine.
How does AI improve performance optimization?
The AI analyzes profiling results, detects bottlenecks, suggests improvements, and automates benchmarking to help developers identify optimal configurations faster.