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ProductsRightNow
RightNow

RightNow

AI code editor for GPU kernel development

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Introduction to RightNow

RightNow is an AI-powered code editor specifically designed for GPU kernel development and optimization. It supports multiple domain-specific languages (DSLs) such as CUDA, Triton, CUTE, and Tilelang, making it a versatile tool for developers working with NVIDIA GPUs. The platform integrates advanced features like cycle-accurate GPU emulation, real-time profiling, and hardware-aware AI to streamline the development process.

RightNow aims to simplify the complexities of GPU programming by providing an intelligent, integrated environment that allows developers to write, optimize, and profile GPU kernels in one place. With its focus on performance analysis and hardware-specific insights, RightNow is ideal for both seasoned GPU developers and those new to GPU computing.

Takeaways

  • AI-Powered Code Editor: Supports CUDA, Triton, CUTE, and Tilelang for GPU kernel development.
  • Cycle-Accurate GPU Emulator: Emulates 86+ NVIDIA architectures with 98% accuracy.
  • Real-Time Profiling: Integrates with Nsight Compute for line-by-line performance analysis.
  • Hardware-Aware AI: Provides insights tailored to specific GPU architectures.
  • Free to Download: Offers pro features for advanced users.

How RightNow Works

RightNow operates by combining AI-driven assistance with deep integration into GPU development workflows. It uses a hardware-aware AI model called Forge to provide context-specific suggestions and optimizations during code writing. The platform also includes a GPU emulator that simulates various NVIDIA architectures, allowing developers to test their kernels without physical access to the hardware.

Additionally, RightNow offers a smart profiling terminal that gives real-time feedback on kernel performance, including metrics like memory utilization, cache hit rates, and thread efficiency. This enables developers to identify bottlenecks and make targeted improvements quickly. The editor also supports local LLM execution, allowing models to run on the user's machine while keeping data private.

Core Benefits and Applications

RightNow is particularly beneficial for developers working in high-performance computing, machine learning, and deep learning domains. Its ability to support multiple DSLs and provide hardware-specific insights makes it a powerful tool for optimizing GPU workloads across different applications. Whether you're developing neural network kernels, scientific simulations, or other GPU-accelerated applications, RightNow offers a streamlined workflow that enhances productivity and performance.

Tags

#AI code editor#GPU kernel development#CUDA#Triton#CUTE#Tilelang#Nsight Compute#GPU profiling#Hardware-aware AI#Real-time analysis

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